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CATALYST METALS LIMITED Capital/Financing Update 2023

Feb 21, 2023

64743_rns_2023-02-21_c477c242-7c7d-42a6-bdd5-abbea408db72.pdf

Capital/Financing Update

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ASX Announcement
22 February 2023
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Marymia Gold Project Mineral Resource - Updated

Catalyst Metals Limited (Catalyst) ( ASX: CYL ) refers to the announcement titled Marymia Gold Project Mineral Resource which was lodged with ASX on 20 February 2023.

The announcement has been updated to incorporate reporting requirements under ASX Listing Rule 5.8.1.

Attached is a copy of the updated announcement.

This announcement has been approved for release by the Board of Directors of Catalyst Metals Limited.

Investors and Media:

James Champion de Crespigny John McKinstry Managing Director and CEO Chief Operating Officer

T: +61 (8) 6107 5878 [email protected]

E [email protected] W catalystmetals.com.au

ASX:CYL

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T +61 8 6107 5878

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20 February 2023
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Catalyst Metals

Catalyst Metals controls two highly prospective gold belts. It has multi asset strategy.

It owns and operates the high-grade Henty Gold Mine in Tasmania which lies within the 25km Henty gold belt. Production to date is 1.4Moz @ 8.9 g/t .

It also controls +75km of strike length immediately north of the +22Moz Bendigo goldfield and home to the new, greenfield discovery at Four Eagles.

Marymia Gold Project Mineral Resource

Catalyst Metals Limited (“ Catalyst ”) (ASX: CYL ) is pleased to present the Marymia Gold Project Mineral Resource Estimate (“ MRE ”) reported in accordance with the Australasian Code for Reporting of Exploration Results, Mineral Resources and Ore Reserves 2012 Edition (“JORC Code”).

This announcement is the first report of the Marymia Gold Project MRE by Catalyst following the acquisition of a majority interest in project owner Vango Mining Limited (ASX: VAN ) ( Vango ) under its off market takeover offer ( Offer ). The Offer was declared unconditional on 15 February 2023, and Catalyst currently has a relevant interest in 89.6% of the Vango shares on issue.

The Marymia Gold Project comprises underground and open pit deposits. The total resource of 1Moz at 3g/t Au is unchanged with that previously reported by Vango[1] .

Catalyst intends to progress exploration activities at Marymia and has commenced planning for an upcoming exploration program. The objective of this program will be to follow up on high priority targets identified by Catalyst and progress drilling at key deposits including Trident and K2 with a view to increasing Mineral Resources.

Capital Structure

Shares o/s: 98.5M Cash: $18.6m (Dec-22) Debt: Nil

Board Members

Stephen Boston Non-Executive Chairman

James Champion de Crespigny Managing Director & CEO

Bruce Kay Non-Executive Director

Robin Scrimgeour Non-Executive Director

Mineral Resource

Table 1 below details the Mineral Resource es�mate which has been reported in accordance with the JORC Code. JORC Table 1 (sections 1, 2 and 3) are included as an appendix to this announcement.

Table 1 Mineral Resource estimate by JORC Classification – Marymia Gold Project

JORC Classification Tonnage (Mt) Au(g/t) Ounces(koz)
Indicated
Inferred
6.4
3.9
3.2
2.7
663
339
Total 10.4 3.0 1,002

Note:

  • Due to the effect of rounding, totals may not represent the sum of all components.

  • Tonnages are rounded to the nearest 0.1 million tonnes, ounces are rounded to the nearest 1,000 ounces, grades are shown to two significant figures.

Corporate Details

ASX: CYL

E:admin@catalystmetals. com.au W:catalystmetals.com.au T: +61 8 6107 5878

ABN 54 118 912 495

Unit 9, 331 – 335 Hay Street, Subiaco WA 6008 PO Box 416, Subiaco WA 6904

Catalyst Metals considers that a drill hole table, as noted in item 5.7.2 of ASX listing rules, is not required to be prepared in this instance.

All drill results have been previously released on ASX by Vango and are publicly available. The MRE has been compiled by the same Competent Person that compiled the original estimates for Vango, and those estimates have been reviewed using updated gold price and cost information. The Competent Person who signed off on previous reports of Exploration Results for Vango has also signed off for Catalyst. No new drill hole data has been used in the revised estimates.

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Table 2: Marymia Gold Project JORC 2012 Mineral Resource Estimate February 2023

MARYMIA GOLD PROJECT JORC 2012 MINERAL MARYMIA GOLD PROJECT JORC 2012 MINERAL MARYMIA GOLD PROJECT JORC 2012 MINERAL MARYMIA GOLD PROJECT JORC 2012 MINERAL RESOURCE ESTIMATE FEBRUARY 2023 RESOURCE ESTIMATE FEBRUARY 2023 RESOURCE ESTIMATE FEBRUARY 2023 RESOURCE ESTIMATE FEBRUARY 2023 RESOURCE ESTIMATE FEBRUARY 2023
Deposit Cut-off Indicated Inferred Total
Mineral Resource - Open Pit(OP): Aug/t K Tonnes g/t Au K Oz K Tonnes g/t Au K Oz K Tonnes g/t Au K Oz
Trident West OP 0.5 253 1.1 9 253 1.1 9
Marwest & Mars OP 0.5 688 2.0 45 688 2.0 45
Mareast OP 0.5 486 1.9 30 486 1.9 30
EastMareast OP 0.5 237 1.1 8 237 1.1 8
Wedgetail OP 0.5 185 1.7 10 185 1.7 10
PHB-1(K3) OP 0.5 604 2.0 39 238
1.4

11
841 1.9 50
K1 OP 0.5 743 1.8 42 837
1.7

47
1,580 1.8 89
Triple-P & Triple-P Sth OP 0.5 633 2.1 42 486
1.4

21
1,120 1.8 63
Albatross & Flamingo OP 0.5 853
1.4

38
853 1.4 38
Cinnamon OP 0.5 1,472 1.8 86 536
1.9

32
2,008 1.8 119
Total Open Pits 5,300 1.8 311 2,950 1.6 150 8,250 1.7 461
Mineral Resource - Underground(UG): Aug/t K Tonnes g/t Au K Oz K Tonnes g/t Au K Oz K Tonnes g/t Au K Oz
Trident UG 3.0 945 9.4 285 645
6.0

125
1,590 8.0 410
K2 UG 3.0 197 10.6 67 177
7.0

40
374 8.9 107
Triple-P & Zone-B UG 3.0 170
4.3

24
170 4.3 24
Total Underground 1,142 9.6 352 992 5.9 189 2,134 7.9 541
Total JORC 2012 Mineral Resource 6,442 3.2 663 3,942 2.7 339 10,384 3.0 1,002

Table 3 - Marymia Gold Project JORC 2012 Mineral Resource February 2023 Oxide, Transition and Fresh

MARYMIA GOLD PROJECT JORC 2012 MINERAL RESOURCE ESTIMATE FEBRUARY 2023 GOLD PROJECT JORC 2012 MINERAL RESOURCE ESTIMATE FEBRUARY 2023 GOLD PROJECT JORC 2012 MINERAL RESOURCE ESTIMATE FEBRUARY 2023 GOLD PROJECT JORC 2012 MINERAL RESOURCE ESTIMATE FEBRUARY 2023 GOLD PROJECT JORC 2012 MINERAL RESOURCE ESTIMATE FEBRUARY 2023 GOLD PROJECT JORC 2012 MINERAL RESOURCE ESTIMATE FEBRUARY 2023 GOLD PROJECT JORC 2012 MINERAL RESOURCE ESTIMATE FEBRUARY 2023 GOLD PROJECT JORC 2012 MINERAL RESOURCE ESTIMATE FEBRUARY 2023 GOLD PROJECT JORC 2012 MINERAL RESOURCE ESTIMATE FEBRUARY 2023 GOLD PROJECT JORC 2012 MINERAL RESOURCE ESTIMATE FEBRUARY 2023
Deposit Cut-off Oxide Tr ansition Fresh Total
Mineral Resource - Open Pit(OP): Aug/t K Tonnes g/t Au K Oz K Tonnes g/t Au K Oz
K Tonnes g/t Au K Oz K Tonnes g/t Au K Oz
Trident West OP 0.5 12
1.2
0.5 189 1.0 6.2 51 1.2 2.0 253 1.1 9
Marwest & Mars OP 0.5 10
2.1
0.7 162 2.0 10.6 515 2.0 33.2 688 2.0 45
Mareast OP 0.5 10
1.5
0.5 451 1.9 27.9 25 2.2 1.7 486 1.9 30
EastMareast OP 0.5 224 1.1 8.0 13
0.9
0.4 237 1.1 8
Wedgetail OP 0.5 154 1.7 8.3 31
1.7
1.7 185 1.7 10
PHB-1(K3) OP 0.5 287 1.5 14.1 392 1.9 23.7 162 2.4 12.4 841 1.9 50
K1 OP 0.5 350 1.5 17.0 780 1.6 41.1 450 2.1 31.0 1,580 1.8 89
Triple-P & Triple-P Sth OP 0.5 189 1.2 7.4 293 1.5 13.7 637 2.1 42.3 1,120 1.8 63
Albatross & Flamingo OP 0.5 606 1.3 24.8 239 1.7 13.0 8 1.7 0.4 853 1.4 38
Cinnamon OP 0.5 513 1.6 26.9 470 1.8 26.7 1,025 2.0 65.1 2,008 1.8 119
Total Open Pits 2,354 1.4 108 3,021 1.7 165 2,875 2.0 188 8,250 1.7 461
Mineral Resource - Underground(UG): Aug/t K Tonnes g/t Au K Oz K Tonnes g/t Au K Oz
K Tonnes g/t Au K Oz K Tonnes g/t Au K Oz
Trident UG 3.0 1,590 8.0 410 1,590 8.0 410
K2 UG 3.0 374 8.9 107 374 8.9 107
Triple-P & Zone-B UG 3.0 170 4.3 24 170 4.3 24
Total Underground 2,134 7.9 541 2,134 7.9 541
Total JORC 2012 Mineral Resource 2,354 1.4 108 3,021 1.7 165 5,009 4.5 729 10,384 3.0 1,002

MARYMIA GOLD BELT

The Marymia Gold belt was formerly owned by Vango, however under Catalyst’s recommended off-market takeover offer ( Offer ) for Vango, which was declared unconditional on 15 February 2023, Catalyst now has a relevant interest of 89.6% of Vango shares on issue.

The Marymia Gold belt has produced over 6 million ounces of gold mainly from the Plutonic Gold Mine at the south western end of the belt. The areas controlled by Catalyst have historically produced about 682,000 ounces of gold ( Dampier Gold ASX Announcement 28 August 2012 ).

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MINERAL RESOURCE ESTIMATE

Carras Mining ( CMPL ), was commissioned by Catalyst to prepare a Mineral Resource estimate ( MRE ) for the Marymia Belt, located in Western Australia about 200 kilometres south of Newman.

CMPL considers that data collection techniques are largely consistent with industry good practice and suitable for use in the preparation of a MRE to be reported in accordance with the JORC Code. Available quality control ( QC ) data supports use of the input data.

1. Geology and Geological Interpretation

The Marymia Gold Project is located in the Plutonic Well or Marymia Greenstone Belt within the Archaean Marymia Inlier , a complex granitoid-gneiss-greenstone terrane within the Palaeo-Proterozoic Capricorn Orogen, which also includes the Peak Hill Schist and Baumgarten Greenstone Belts.

The Marymia Greenstone Belt comprises two corridors of northeast – southwest trending mafic/ultramafic and sedimentary sequences separated by a conglomerate-dominated sedimentary sequence (Figure 1).

Three major structural events are interpreted to have shaped the belt, including D1 low-angle thrusting and isoclinal folding that has emplaced mafic and ultramafic units structurally above the sedimentary units in the northwest side of the belt (“the overthrust terrane”), followed by southeast directed upright D2 folding and faulting, granite/porphyry sheet intrusion then D3 high- angle thrusting, open folding of earlier structures plus reactivation of D1/2-thrusts.

Gold mineralisation is structurally controlled, orogenic, mesothermal (amphibolite metamorphic facies) in style, associated with the late tectonic D3 high-angle thrusting event and open folding/flexing and dilation of earlier structures - including the D1/D2 thrusts.

2. Drilling Techniques

All drilling data used in this Mineral Resource estimate were from Diamond and Reverse Circulation drilling. Diamond Drilling was mostly NQ2 size with some HQ3 drilling also undertaken. The reverse circulation drilling utilised a face sampling hammer which reduces the potential for up-hole contamination. Quality of historical drilling information is varied, but has been verified against original logs and reports wherever possible. Previous work has been dominated by Resolute, BMA, Homestake, Barrick Resources and Dampier Gold, all of which used high quality methodology for the time. See JORC Table 1, Sections 1 and 2.

3. Sampling and Sub-Sampling Techniques and Sample Analysis Method

All assays from Diamond Drilling by Vango Mining are from Half core NQ2 and minor Quarter core HQ sampling cut on a diamond saw on site. Samples were of 0.8m – 1.25m intervals with a majority cut on 1m intervals. This is considered to be sufficient material for a representative sample. RC Drilling was sampled on 1m intervals using a cone splitter within the cyclone. In less prospective lithologies these 1m samples were composited using a scoop over 4m intervals.

Standards, submitted every 20 samples, were of grade tenor similar to those expected in the sampling. Blanks were inserted every 20 samples and Duplicates were taken every 20 samples for a total of 15% QA/QC sampling.

Previous workers collected RC samples as 4m composite spear samples. Mineralised zones were sampled at 1m intervals using a 1/8 riffle splitter. Core samples were taken at 0.2m - 1m intervals or at geological boundaries from NQ2 and HQ Core.

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Specific gravity (bulk density - SG) measurements were conducted on 140 diamond drillhole samples at Trident, Trident West, PHB1, K2 underground and Cinnamon using a wet/dry weight measurement to determine the density. Some measurements were completed using wax to ensure no bias due to water ingress in weathered or porous samples, and these values concur with the non-wax measurements. The bulk density measurements confirmed the use of 2.90 t/m3 as being appropriate for all ultramafic hosted mineralisation, with lower values of 2.8-2.84 t/m3 for mafic, 2.7 t/m3 for mafic matrix conglomerate and 2.6 t/m3 for felsic-sedimentary hosted mineralisation. Oxide and transitional material also show ranges of 1.8 - 2.0 t/m3 and 2.2 - 2.54 t/m3 respectively. Previous SG work completed by Resolute is not available as raw data but the values used in previous resource estimates have been continued where appropriate as they appear conservative. See JORC 2012 Table 1, Section 2.

4. Estimation Methodology

The following outlines the estimation and modelling technique used for producing the February 2023 Mineral Resource estimate for the Marymia Gold Project in accordance with JORC 2012 criteria.

Following a complete review of the input database by Discover Resource Services Pty Ltd (DRS), Terra Search Pty Ltd (Terra Search) and Carras Mining Pty Ltd (CMPL), geology, drilling assays and mineralised intersections above a cut-off grade where a high grade cut had been applied to individual assays within the intersection, were plotted on 1:500 scale sections. The intersection selection criteria were specific to either open pit (OP) or underground (UG) mining parameters.

The following wireframes were provided by DRS and Terra Search for:

  • a. Topography based on aerial imagery at 0.5m spacing.

  • b. Base of Oxidation (BOCO)

  • c. Top of Fresh Rock (TOFR)

  • d. Pre-existing open pit profiles.

The 1:500 scale cross sections were initially plotted as hard copy for initial interpretation.

The majority of assay data was of 1m lengths and weighted lengths were used when modelling the deposits and estimating the high-grade cuts.

The high-grade cuts were derived using 2 methods:

  1. The Gap (GAP) method, used in North America, based on the position where a discontinuity occurs in the cumulative assay frequency plot at the high-grade end.

  2. The high-grade cutting methods of Denham which are based on the statistical theory of Gamma Distributions. This method was used as a check.

The cut-off grades were determined from operational mining costs provided by Independent Mining Consultants, Mining Plus and Metallurgical Consultants - Como Engineers.

In general, cut-off grades of 0.5 g/t Au were used for open pits and 3 g/t Au for underground mining projects. To guarantee continuity some intersections in K2 UG had their cut-off grades lowered to 2.5 g/t Au (in minimal instances less <2.5 g/t Au). The mining method for open pits will be selective mining on bench heights of 2.5m - 5m, following detailed grade control drilling, and for K2 UG long hole open stoping will be the mining method applied. (The Trident UG Resource is based on a 3 g/t Au cut-off grade and a A$2,000 per ounce gold price. The proposed mining method is outlined in the April 2019 ASX Release1).

For all projects, a geological interpretation was carried out on hard-copy sections and plans with continuous review of geological continuity. The interpretations were carried out by DRS and/or Terra Search then digitised by snapping on to intersection selected boundaries, modified where necessary by CMPL then wireframed by CMPL using Surpac Software.

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The wireframed shapes then had their volumes measured to ensure that future block modelling volumes matched the interpreted wireframed shape volumes (especially for narrow shapes).

For open pit wireframed shapes, having adequate data and continuity, variography (using normalised grades) was carried out. In general variograms were produced along strike, down dip and in the down hole direction.

Estimation methods used Ordinary Kriging where there was adequate data in large wireframed shapes and Inverse Distance Cubed methods for smaller wireframed shapes of less data. In some instances, Inverse Distance Squared methods were used where variography was inconclusive.

Section 3 of the attached JORC Table 1 contains detailed information relating to the modelling parameters used for each deposit. Section 3 includes:

  1. Variogram Parameters

  2. Block Modelling Search Criteria (including interpolation parameters)

  3. Block Sizes and Discretisation

  4. Buk Density

Block sizes chosen were small as the models produced were based on specific wireframed shape cut-off grades and, as a result, the small blocks within the wireframed shapes could not be used for reporting resources at higher cut-off grades. It was assumed that the complete shape would be mined and there would not be application of an internal cut-off grade.

5. Classification Criteria

The Mineral Resource has been classified following due consideration of all criteria contained in Section 1, Section 2 and Section 3 of JORC 2012 Table 1.

After giving due consideration to the integrity of all input data, available QC results, data distribution, geological and grade continuity, areas of the deposit were classified as Indicated where geological continuity is reasonable. Classification was based on a combination of drill hole spacing and confidence in geological continuity as well as the likelihood that it would be mined as a pit.

In general, drill hole spacing of 25mE x 25mN was used, with some infill holes.

6. Reasonable Prospects for Eventual Economic Extraction (RPEEE)

Because these pits have no immediate access to processing owned by the Company, one assumes that this access can be gained in the future.

The potential for eventual open pit mining was determined by application of the following:

  • An optimised Whittle pit shell of A$2,500 per ounce Au;

  • Pit slopes were determined from geotechnical drilling;

  • A turning circle of 20m was used to define a pit base;

  • The resource within the partially designed pits was undiluted (however sensitivities to dilution were carried out to ensure robustness of optimisation); and

  • Only non-diluted resources (inclusive of shape dilution) are reported in the Mineral Resource Statement.

Underground resources are estimated using a 3g/t Au cutoff which represents an approximate break-even cost for underground mining. The resource grades of 8g/t Au for Trident and 8.9g/t Au for K2 are clearly economic at the current gold price.

7. Reporting Cut-off Grades

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As reported above, in 2023 Trident underground resources were reviewed using a A$2,800/oz gold price and increasing the April 2019 costs by 40%. The previously applied cut-off grade of 3.0 g/t Au remained valid and as such the Trident underground resources are retained as first reported in April 2019 which used a 3.0 g/t Au cut-off grade, and was modelled at a gold price of A$2,000/oz.

Open pit resources are reported within the May 2020 optimised conceptual pit shells at A$2,500/oz gold price and 2020 costs. The resources reported are above a 0.5 g/t Au cut-off grade and include oxide, transition and fresh material. The 2023 review, using a A$2,800/oz gold price and increasing the May 2020 costs by 32% confirmed all pits remained economic.

8. Mining and Metallurgical Methods and Parameters

Preliminary metallurgical testwork suggested high recoveries would be achieved (Oxide 93%, Transition 93%, Fresh 90%). These recoveries were used in financial assessment of the optimisation studies.

9. Competent Person Statement

The Statement of Mineral Resource Estimates has been compiled by Dr. Spero Carras who is a full-time employee of Carras Mining Pty Ltd and a Fellow of the Australian Institute of Mining and Metallurgy (“FAusIMM”). Dr. Carras has sufficient experience, including over 40 years’ experience in gold mine evaluation, relevant to the style of mineralisation and type of deposits under consideration to qualify as a Competent Person as defined in the 2012 Edition of the Joint Ore Reserves Committee (“JORC”) Australasian Code for Reporting of Exploration Results, Minerals Resources and Ore Reserves. Dr. Carras consents to the inclusion in this report of the matters based on this information in the form and context in which it appears.

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This announcement has been approved for release by the Board of Directors of Catalyst Metals Limited.

Investors and Media:

James Champion de Crespigny Managing Director and CEO T: +61 (8) 6107 5878 [email protected]

Paul Armstrong Read Corporate

Notes and Competent Persons Statements:

1. Mineral Resources reported in accordance with the Australasian Code for Reporting of Exploration Results, Mineral Resources and Ore Reserves (Joint Ore Reserves Committee Code – JORC 2012 Edition).

2. Open pit resources are reported within the May 2020 optimised conceptual pit shells at A$2,500/oz gold price and 2020 costs. The resources reported are above a 0.5 g/t Au cut-off grade and include oxide, transition and fresh material, see Table 2. The 2023 review, using a A$2,800/oz gold price and increasing the May 2020 costs by 32% confirmed all pits remained economic. (The Trident West pit must be mined to access the Trident underground.) In the 2023 review, all drilling (including post May 2020 drilling) beneath all pits showed that further drilling would be required to increase the depth of pits and hence resources.

3. In 2023 Trident underground resources were reviewed using a A$2,800/oz gold price and increasing the April 2019 costs by 40%. The previously applied cut-off grade of 3.0 g/t Au remained valid and as such the Trident underground resources are retained as first reported in April 2019 which used a 3.0 g/t Au cut-off grade, and was modelled at a gold price of A$2,000/oz. Further drilling would be required to increase the Trident underground resource. Other underground resources are reported above a 3.0 g/t Au cut-off (with minor 2.5 g/t Au cut-off material included for continuity purposes) and include fresh material only.

4. Totals may differ due to rounding, Mineral Resources reported on a dry in-situ basis.

5. The Statement of Mineral Resource Estimates has been compiled by Dr. Spero Carras who is a full-time employee of Carras Mining Pty Ltd and a Fellow of the Australian Institute of Mining and Metallurgy (“FAusIMM”). Dr. Carras has sufficient experience, including over 40 years’ experience in gold mine evaluation, relevant to the style of mineralisation and type of deposits under consideration to qualify as a Competent Person as defined in the 2012 Edition of the Joint Ore Reserves Committee (“JORC”) Australasian Code for Reporting of Exploration Results, Minerals Resources and Ore Reserves. Dr. Carras consents to the inclusion in this report of the matters based on this information in the form and context in which it appears.

6. The information in this report that relates to exploration results that form the basis of the Mineral Resource Estimate has been reviewed, compiled and fairly represented by Mr Jonathon Dugdale, a Fellow of the Australian Institute of Mining and Metallurgy (“FAusIMM”) and a full time employee of Discover Resource Services Pty Ltd. Mr Dugdale has sufficient experience, including over 34 years’ experience in exploration, resource evaluation, mine geology and finance, relevant to the style of mineralisation and type of deposits under consideration to qualify as a Competent Person as defined in the 2012 Edition of the Joint Ore Reserves Committee (“JORC”) Australasian Code for Reporting of Exploration Results, Minerals Resources and Ore Reserves. Mr Dugdale consents to the inclusion in this report of the matters based on this information in the form and context in which it appears.

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Appendix 3: JORC Code, 2012 Edition – Table 1 Section 1: Sampling Techniques and Data

(Criteria in this section apply to all succeeding sections.)

Criteria JORC Code explanation Commentary
Sampling
techniques
Nature and quality of
sampling (e.g. cut
channels, random
chips, or specific
specialised industry
standard measurement
tools appropriate to
the minerals under
investigation, such as
down hole gamma
sondes, or handheld
XRF instruments, etc).
These examples should
not be taken as limiting
the broad meaning of
sampling.
Include reference to
measures taken to
ensure sample
representivity and the
appropriate calibration
of any measurement
tools or systems used.
Aspects of the
determination of
mineralisation that are
Material to the Public
Report.
In cases where
‘industry standard’
work has been done
this would be relatively
simple (e.g. ‘reverse
circulation drilling was
used to obtain 1 m
samples from which 3
kg was pulverised to
produce a 30 g charge
for fire assay’). In other
cases, more
explanation may be
required, such as
where there is coarse
gold that has inherent
sampling problems.
Unusual commodities
or mineralisation types
(e.g. submarine
nodules) may warrant
disclosure of detailed
information
Historic Vango Work:
• Reported Diamond Drilling assays are from mostly Half core and minor
Quarter core, NQ2 and HQ diamond core. This is considered to be
sufficient material for a representative sample.
• Mineralised intervals were selected based on projections of known
mineralisation as well as identified associations with mineralisation e.g.
biotite alteration at Trident, quartz and sulphide at other prospects.
Sampling was continued well beyond the identified mineralised
intervals and follow-up sampling was conducted where mineralisation
was detected at the ends of the sampled zones.
• Drillholes were generally designed to intersect mineralisation
orthogonal to strike and core was oriented. Cutting of core was along
the orientation line, in order to be as close as possible to orthogonal to
mineralised structures and representative.
• RC Drilling assays are from 1m samples split on the cyclone. 4m
composites from these 1m splits have been taken in the cover
sequence.
• Sample preparation according to the Industry Standard approach of
approximately 3 kg submitted to Intertek Laboratories in Perth they
were pulverised to produce a 50 g charge for fire assay.
Previous Workers:
• Quality of historical sampling information is varied, but has been
verified against original logs and reports wherever possible. Previous
work has been dominated by Resolute, BMA, Homestake, Barrick
Resources and Dampier Gold, all of which are considered to have used
high quality methodology for the time.
• RC samples were collected as 4m composite spear samples. Mineralised
zones were sampled at 1m intervals using a 1/8 riffle splitter.
• Core samples were taken at 1m intervals or at geological boundaries
from NQ2 and HQ Core.
• Where sampling methods have not been recorded, results are
consistent with, and of a similar quality, to results where methodology
is known, including Vango methodology i.e. the Industry Standard
approach above.

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Criteria JORC Code explanation Commentary
Drilling
techniques
Drill type (e.g. core,
reverse circulation,
open-hole hammer,
rotary air blast, auger,
Bangka, sonic, etc) and
details (e.g. core
diameter, triple or
standard tube, depth
of diamond tails, face-
sampling bit or other
type, whether core is
oriented and if so, by
what method, etc).
Historic Vango Work:
• NQ2 Diamond drill-core.
• Face Sampling, Reverse Circulation (RC) hammer
Previous workers:
• NQ/NQ2 and HQ Diamond drill-core, minor BQ diamond drill-core from
underground K2.
• Face Sampling, Reverse Circulation (RC) hammer.
• Minor Aircore drilling in oxide zones of some open pit resource areas.
Drill sample
recovery
Method of recording
and assessing core and
chip sample recoveries
and results assessed.
Measures taken to
maximise sample
recovery and ensure
representative nature
of the samples.
Whether a relationship
exists between sample
recovery and grade
and whether sample
bias may have
occurred due to
preferential loss/gain
of fine/coarse material.
Historic Vango Work:

RC drilling was bagged on 1m intervals and an estimate of sample
recovery has been made on the size of each sample. Recoveries have
been excellent in mineralised zones.

Diamond core recoveries are recorded for each metre with excellent
recoveries through mineralised zones showing no likely bias to results.

Results between RC and diamond are of similar tenor where they
have been adjacent, with no indication of bias to the sampling with
any drilling method.
Previous Workers:

Limited information on the recoveries has been recorded for RC, but
where located for the diamond drilling, the recoveries have been
consistently high in agreement with those noted by Vango.
Logging Whether core and chip
samples have been
geologically and
geotechnically logged
to a level of detail to
support appropriate
Mineral Resource
estimation, mining
studies and
metallurgical studies.
Whether logging is
qualitative or
quantitative in nature.
Core (or costean,
channel, etc)
photography.
The total length and
percentage of the
relevant intersections
logged.
Historic Vango Work:
• Reverse Circulation (RC) holes have been logged on 1m intervals
• Diamond holes are logged in detail based on geological boundaries.
• Diamond holes are logged on 1m intervals for geotechnical data.
• Metallurgical samples were taken from logged HQ diamond holes for
testwork verified as representative and appropriate by Como Engineers
to support appropriate Mineral Resource estimation.
• Diamond drillcore has been geotechnically logged in detail and the
geotechnical logging has been examined and verified sufficient detail to
support appropriate Mineral Resource estimation and mining studies by
Peter O’bryan and associates, geotechnical engineers.
Previous Workers:
• Geological logs have been examined from previous workers in both
hard copy and digital files. Logging codes have varied, but careful
reconstruction of the geological sections has shown good correlation
with the broad lithological logging.

9

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Criteria JORC Code explanation Commentary
Sub-sampling
techniques and
sample
preparation
If core, whether cut or
sawn and whether
quarter, half or all core
taken.
If non-core, whether
riffled, tube sampled,
rotary split, etc and
whether sampled wet
or dry.
For all sample types,
the nature, quality and
appropriateness of the
sample preparation
technique.
Quality control
procedures adopted for
all sub-sampling stages
to maximise samples
representivity
Measures taken to
ensure that the
sampling is
representative of the
in-situ material
collected, including for
instance results for
field duplicate/second-
half sampling.
Whether sample sizes
are appropriate to the
grain size of the
material being
sampled.
Historic Vango Work:

Diamond drilling - Half and Quarter Diamond Core on selected
intervals of between 0.25-1.25m length using a diamond saw
sampled.

Standards submitted every 20 samples, of gold grade range similar to
those expected in the sampling.

Blanks were inserted every 20 samples also.

RC Drilling sampled on 1m samples using a cone splitter within the
cyclone.

In less prospective lithologies these 1m samples were composited
using a scoop over 4m intervals.

Field duplicate sampling was completed by passing the bulk reject
sample from the plastic bag through a riffle splitter. In addition, ¼
core was routinely submitted. Duplicate sample intervals were
designated by the geologist.
Previous Workers:

RC – 1m samples collected at the rig using a 1:8 riffle splitter. Each
sample was riffle split each 1m sample to collect approximately 2kg
samples in calico bags, with the remaining sample retained on site in
plastic bags. Four metre composite samples were also collected with
any samples assaying greater than 0.1g/t Au being re-split to 1m
intervals.

Core sampled was halved using a diamond saw and sampled at 1m
intervals, or to geological contacts.

Sampling procedures for the Resolute drilling were not available.
Metallurgy:

Diamond Core sampled was halved using a diamond saw and then
quartered for assaying and sampled at 1m intervals, or to geological
contacts.

Half core material was then used for metallurgical (leach recovery)
testing with minor quarter core HQ material where this was
necessary.

Full core sections have been used for strength and grinding testing
also.
Quality of assay
data and
laboratory tests
The nature, quality and
appropriateness of the
assaying and
laboratory procedures
used and whether the
technique is considered
partial or total.
For geophysical tools,
spectrometers,
handheld XRF
instruments, etc, the
parameters used in
determining the
analysis including
instrument make and
model, reading times,
calibrations factors
applied and their
derivation, etc.
Historic Vango Work:
• ~3kg samples dried, crushed and pulverised then a 50g charge analysed
at Intertek Laboratories using an Industry Standard Fire Assay method.
• Standards submitted every 20 samples of grade-range/tenor similar to
those expected in the sampling.
• Blanks were inserted every 20 samples also.
• Field duplicates also analysed.
Previous Workers:
• Gold was analysed using fire assay with a 25-50g charge for Au within
mineralised zones. Some Aqua regia data is included in the resources,
generally in lower grade, oxide and transition, areas
• Drilling programs carried out by HGAL have included ongoing QAQC
procedures. These included the use of certified standards, blanks,
check assay and duplicate sampling.
• The various programs of QAQC carried out by HGAL have all produced
results which support the sampling and assaying procedures used at the
site.
• QAQC procedures for the Resolute drilling were not available.

10

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Criteria JORC Code explanation Commentary
Nature of quality
control procedures
adopted (e.g.
standards, blanks,
duplicates, external
laboratory checks) and
whether acceptable
levels of accuracy (i.e.
lack of bias) and
precision have been
established.
QAQC Discussion:
• Higher grade results show greater variation as expected with Duplicates
and re-assays, but in general show good correlation.
• Standards and Blanks reported within acceptable accuracy and precision
levels around the expected standard value. Some anomalous results
were likely due to mislabelling of standards and these were reassigned
where obvious. The results indicate the fire assay results from Intertek
are of sufficient quality to be acceptable for use in resource estimation.
• Previous workers QA/QC analysis and results are also within acceptable
accuracy levels where available.
Verification of
sampling and
assaying
The verification of
significant
intersections by either
independent or
alternative company
personnel.
The use of twinned
holes.
Documentation of
primary data, data
entry procedures, data
verification, data
storage (physical and
electronic) protocols.
Discuss any adjustment
to assay data.
Historic Vango Work:
• Intersections have been calculated using a 1 g/t cut off and internal
waste of up to 3m thickness with total Intersections greater than 3g/t.
• Intersections have been reviewed by senior geological staff at
consultants Terra Search and Discover Resource Services (Jon Dugdale).
• Intersections have been re-calculated according to Mineral Resource
estimation criteria.
Previous Workers:
• The database of analytical results from previous workers has been
audited and, where possible, verified with reference to historical
reports. Intersections have been re-calculated according to Mineral
Resource estimation criteria. Vango infill drilling has largely confirmed
the thickness and tenor of previous drilling.
• Scissored/twinned (<10m) holes have confirmed mineralised zones at
many prospects
Data procedures:
• Data is provided from the field as paper logs for geology, DGPS files for
locations, and CSV files from the laboratory for assays.
• The digital formats are converted into spreadsheet format and pass
through an initial validation prior to loading into the Terra Search
Explorer3 RDBMS system.
• Extensive data validation protocols are then applied from within the
database and through visual confirmation by the senior geological
team.
• Previous company databases have been converted into the Explorer3
RDBMS format and undergone extensive validation including cross
referencing to Annual reporting and internal data sources.
• The database is managed by Terrasearch and outputted to an Access
data base at Carras Mining for Mineral Resource estimation purposes.
Assay data has been used without adjustment except where high-grade
cuts have been applied for Mineral Resource estimation purposes (see
Section 3’s).
Location of data
points
Accuracy and quality of
surveys used to locate
drill holes (collar and
down-hole surveys),
trenches, mine
workings and other
locations used in
Mineral Resource
Historic Vango Work:
• DGPS has been used to locate all drillholes.
• REFLEX Gyro Tool used for downhole surveys on all holes
Previous Workers:
• The majority of drill holes used in the resource estimate have been
accurately surveyed by qualified surveyors using DGPS. Down hole
surveys have been conducted at regular intervals usingindustry-

11

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Criteria JORC Code explanation Commentary
estimation.
Specification of the
grid system used.
Quality and adequacy
of topographic control.
standard equipment.
• Where single shot cameras were used some magnetic units have
affected the azimuth readings and these have not been used. Many
holes have been surveyed using Gyro tools.
• Some historical data may only have local surveyed coordinates and
nominal downhole surveys but each hole in the database has been
checked against original data with a small percentage of holes not
available in hard copyfor verification.
Data spacing and
distribution
Data spacing for
reporting of
Exploration Results.
Whether the data
spacing and
distribution is sufficient
to establish the degree
of geological and
grade continuity
appropriate for the
Mineral Resource and
Ore Reserve estimation
procedure(s) and
classifications applied.
Drill data spacing:
• Drillholes have been planned in areas of Mineral Resource definition to
a minimum spacing of 40m x 40m intersection density (for Inferred
Resources) and infilled to a minimum of 20m x 20m (for Indicated
Resources). Isolated drillholes intersections at >40m spacing will be
utilised for estimation of Exploration Targets.
• The drill spacing of 40m x 40m intersection density and 20m x 20m
intersection density is sufficient to establish the degree of geological
and grade continuity appropriate for Inferred to Indicated Mineral
Resource estimation respectively for all prospects.
• Broader spaced drilling intersections (up to 60m) have been modelled in
areas of structural continuity internal to the (Inferred) Mineral
Resource. Some sections have closer spacing in high-grade zones,
confirming the continuity in Indicated Resource areas.
Metallurgy:
• Samples were selected from diamond core and/or RC chips to be
representative of mill feed material for testing. Sufficient metallurgical
sampling appropriate for the Mineral Resource estimation,
complimented by previous data. Additional representative sampling
will be required for Ore Reserve estimation in future.
Orientation of
data in relation
to geological
structure
Whether the
orientation of sampling
achieves unbiased
sampling of possible
structures and the
extent to which this is
known, considering the
deposit type.
If the relationship
between the drilling
orientation and the
orientation of key
mineralised structures
is considered to have
introduced a sampling
bias, this should be
assessed and reported
if material.
• The orientation of a majority of the drilling is approximately
perpendicular or at a high angle to the strike and dip of the
mineralisation. Cutting of core was along the orientation line, in order
to be as close as possible to orthogonal to mineralised structures and
representative. There is a low likelihood of any sampling bias.
• Certain holes have drilled parallel to key structures, but density of
drilling and drilling on other orientations has allowed detailed geological
modelling of these structures and hence any sampling bias in a single
hole has been removed.
Sample security The measures taken to
ensure sample security.
Historic Vango Work:
• Samples sealed in bulka bag with Security seal, unbroken when
delivered to lab.
Previous Work:
• No information on Sample security has been obtained on previous
workers sampling, however Industry standard practices are assumed.

12

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Criteria JORC Code explanation Commentary
Metallurgical work:
• Samples sealed in bulka bag with Security seal, unbroken when
delivered to lab or transported in diamond trays, previously
photographed and then strapped to ensure safe and secure transport.
Audits or reviews The results of any
audits or reviews of
sampling techniques
and data.
• Review of standards, blanks and Duplicates indicate sampling and
analysis has been effective. Historical QA/QC sampling has been
referred to and signed off in previous resource statements, confirming
the validity and previous data integrity.
• Databases have been extensively validated and a proportion of holes
were compared to original data reports/sources and found to be
consistent wherever checked.

13

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Section 2: Reporting of Exploration Results

(Criteria listed in the preceding section also apply to this section.)

Criteria JORC Code explanation Commentary
Mineral
tenement and
land tenure
status
Type, reference
name/number,
location and ownership
including agreements
or material
issues with third
parties such as joint
ventures, partnerships,
overriding royalties,
native
title interests, historical
sites, wilderness or
national park and
environmental
settings.
The security of the
tenure held at the time
of reporting along with
any known
impediments to
obtaining a licence to
operate in the area.
Marymia Gold Project is located within the Archaean Marymia Inlier in the
Plutonic Well or Marymia Greenstone Belt ~218km northeast of
Meekatharra in the Midwest mining district in WA (Figures’ 1 and 2).
Trident/Trident West/Marwest/Mars:
-
M52/217 - granted tenement in good standing.
Mareast/East Mareast/Wedgetail:
-
M52/218 - granted tenement in good standing.
K1/K2/PHB:
-
M52/186 granted tenement in good standing.
Triple-P & Zone-B/Albatross - Flamingo:
-
M52/396 granted tenement in good standing.
Cinnamon:
-
M52/228 - granted tenement in good standing.
• The tenements above predate the Native title Act.
• The tenements are 100% owned by Catalyst Metals Ltd who
are in the process of acquiring Vango Mining Limited.
• Gold production will be subject to a 1-4% royalty dependent on gold
price (Currently 2%) capped at $2M across the entire project area.
• Contingent production payments of up to $4M across the entire project
area.
Exploration done
by other parties.
Acknowledgment and
appraisal of
exploration by other
parties.
• Extensive previous work by Resolute Mining, Homestake Gold, Battle
Mountain Australia, Barrick Mining and Dampier Gold.
• Previous metallurgical and resource work has been completed by
Resolute Mining, Barrick Mining and Dampier Gold.
• The quality and verification of previous exploration work is covered
under Section 1 above.
Geology Deposit type,
geological setting and
style of mineralisation.
• Marymia mineralisation is structurally controlled, orogenic,
mesothermal (amphibolite metamorphic facies) in style, associated with
the late tectonic D3 high-angle thrusting event and open folding/flexing
and dilation of earlier - including D1/D2 thrusts.
• Gold mineralisation at Trident/Trident West, Marwest and Mars project
is hosted within a sheared contact zone in ultramafic rocks. High-grade
‘shoots’ of mineralisation are associated with flexures in the
mineralised, generally shallow dipping shear structures /contact zones
between steeply dipping (D3) faults.
• Gold mineralisation at Mareast/EastMareast, K1, K2 and PHB-1 are also
orogenic hosted within steep shears within a mafic dominant package,
flexures in the shear are important controls on mineralisation.
• Gold at Wedgetail is orogenic found on the sheared contact between
felsic “porphyry” intrusions and mafic rocks.
• Gold mineralisation at Cinnamon is hosted within a shear zones within
conglomerates with felsic clasts within a mafic derived matrix. High
grade zones are located in flexures of the shear zones.
• Gold at Triple P and Zone B is hosted within steep to moderate dipping

14

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Criteria JORC Code explanation Commentary
shears and shallow dipping link structures, within a mafic package which
includes some sulphidic sedimentary units and felsic “porphyry”
intrusions.
• Gold at Albatross and Flamingo is hosted within, and in shallow dipping
linking zones between, shear zones within a mostly sedimentary
package with some mafic units at depth.
Drill hole
Information
A summary of all
information material to
the understanding of
the exploration results
including a tabulation
of the following
information for all
Material drill holes:

easting and
northing of the drill
hole collar

elevation or RL
(Reduced Level -
elevation above
sea level in metres)
of the drill hole
collar • dip and
azimuth of the hole

down hole length
and interception
depth

hole length.
If the exclusion of this
information is justified
on the basis that the
information is not
Material and this
exclusion does not
detract from the
understanding of the
report, the Competent
Person should clearly
explain why this is the
case.
Historic Vango Work:
• Location of Drillholes based on historical reports and data, originally
located on surveyed sites, and DGPS.
• Northing and easting data generally within 0.1m accuracy
• RL data +-0.2m
• Down hole length =+- 0.1 m
• Details on Vango drilling included in this Mineral Resource update
including:
-
easting and northing of the drill hole collars,
-
elevation or RL (Reduced Level - elevation above sea level in
metres) of the drill hole collars,
-
dip and azimuth of the hole,
-
down hole length and interception depth,
-
hole length,
are tabulated in Vango ASX releases (since July 2018) that are listed on
Vango’s Websitewww.vangomining.com.Where specific drilllhole
intersections are shown on sections in Appendix 1 the relevant ASX
release is referenced.
Previous Workers:
• The majority of drill holes used in the resource estimate have been
accurately surveyed by qualified surveyors using DGPS. Down hole
surveys have been conducted at regular intervals using industry-
standard equipment.
• Where single shot cameras were used some magnetic units have
affected the azimuth readings and these have not been used. Many
holes have been surveyed using Gyro tools.
• A number of the drillholes from each prospect are of unknown survey
methods, and some may have a lower location accuracy both from a
collar and survey perspective. These holes make up only a small
percentage of the overall database at each resource and all holes
appear to have been located with sufficient accuracy to be consistent
with the known drilling.
• Open hole percussion and RAB drilling have been excluded from the
resource calculations.
• All Diamond and Reverse Circulation (RC) holes have been included.
Diagrams Appropriate maps and
sections (with scales)
and tabulations of
Intersections should be
included for any
significant discovery
being reported These
Representative plans and sections have been included in Appendix 1 of this
report, including drill collar locations in plan view:

Figure 1: Marymia Gold Project, key corridors and Mineral Resource
projects

Figure 2: Location of Marymia Gold Project in the Yilgarn block of

15

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Criteria JORC Code explanation Commentary
should include, but not
be limited to a plan
view of drill hole collar
locations and
appropriate sectional
views.
Western Australia

Figure 3: Marymia Gold Project, Trident Corridor with Mineral
Resource projects

Figure 4: Trident West Mineral Resource cross section 19200mE

Figure 5: Marwest – Mars Mineral Resource cross section 20810mE

Figure 6: Mareast Mineral Resource cross section 22700mE

Figure 7: Marymia Gold Project, Triple-P Corridor with Mineral
Resource projects

Figure 8: Triple-P and Zone-B Mineral Resource cross section 1920mN

Figure 9: Albatross-Flamingo cross section 7900mN with optimised pit
and N-S Resource blocks

Figure 10: Marymia Gold Project, PHB Corridor with Mineral Resource
projects

Figure 11: K2 West Lode, Central Lode and Main Lode cross section
16,425mN

Figure 12: Longitudinal Projection through K2 Main Lode, PHB-1
optimised pit & Resource model

Figure 13: PHB-1 West Lode, Central Lode and Main Lode cross section
16,875mN

Figure 14: K1 Mineral Resource cross section 18,780mN

Figure 15: Marymia Gold Project, Cinnamon Corridor with Mineral
Resource projects

Figure 16: Cinnamon cross section 26,375mN
Balanced
reporting
Where comprehensive
reporting of all
Exploration Results is
not practicable,
representative
reporting of both low
and high grades and/or
widths should be
practiced to avoid
misleading reporting of
Exploration Results.

Details of new drilling Intersections and results that are included in the
Mineral Resource estimates were tabulated and released previousy by
Vango Mining on the ASX.
• Where specific drilllhole intersections are shown on sections in
Appendix 1 the relevant ASX release is referenced.
Other substantive
exploration data
Other exploration data,
if meaningful and
material, should be
reported including (but
not limited to):
geological
observations;
geophysical survey
results; geochemical
survey results; bulk
samples – size and
method of treatment;
metallurgical test
results; bulk density,
groundwater,
geotechnical and rock
characteristics;
Other substantive exploration data, exclusive of drilling data referred to
above, that has contributed to the Mineral Resource Estimates reported
includes:

Metallurgical test results have been included in mining optimisation
evaluations;
-
As reported historically in ASX releases by Vango Mining, based
on metallurgical testwork for the Trident UG, Trident West/PHB-
1 and Triple-P and Zone-B prospects.
-
Metallurgical data generated by previous workers on other
prospects.
Metallurgical recoveries recommended and applied to optimisations
are tabulated below:

16

Criteria

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JORC Code explanation

potential deleterious or contaminating substances.

Commentary

Leach recoveries from test work and as Leach recoveries from test work and as applied
Project Average for Optimisations
Recommended Applied
Trident West OP 93.7% 92.0%
Marwest & Mars OP 92.9% 92.0%
Mareast OP 93.7% 92.0%
EastMareast OP 93.7% 92.0%
Wedgetail OP 88.6% 92.0%
PHB-1(K3)OP 95.2% 92.0%
K1 OP 92.8% 92.0%
Triple-P & Triple-P Sth OP 93.4% 90.0%
Albatross & Flamingo OP 93.5% 92.0%
Cinnamon OP 92.7% 92.0%
Trident UG 89.4% 90.0%
K2 UG 94.0% 92.0%
Triple-P/Zone-B UG 91.5% 90.0%
**Average ** 93% 92%
  • Data generated for the PHB-1 and Cinnamon diamond drillholes provided Bond Ball Mill (grinding) Work Index (BBWi) results that verified operating cost estimates used in 2020 which were factored for 2023.
Prospect, Drillhole:
PHB-1, PHBMET01
PHB-1, PHBMET01
PHB-1, PHBMET01
Cinnamon, VBGRCD0002
Cinnamon, VBGRCD0001
Zone BBWi
PHBMET01- Oxide 3.4
PHBMET02-
Transition
10.7
PHBMET03-Fresh 16.8
Oxide/Transition 9.0
Fresh 13.9
  • Bulk density/Specific Gravity (SG) data:

  • Specific Gravity data had been generated by Vango from drillcore through specific prospects and/or as reported in relation to previous Mineral Resource estimates. The SG’s measured/recommended and applied to the Mineral Resource estimates are tabulated below:

Specific Gravity (SG)

Project Oxide SG Oxide SG Trans SG Trans SG Fresh SG Fresh SG
Recm
. Use Recm. Use Recm. Use
Trident West OP 1.80 1.80 2.40 2.40 2.90 2.90
Marwest & Mars OP 1.80 1.80 2.40 2.40 2.80 2.90
Mareast OP 1.80 1.80 2.40 2.40 2.80 2.80
EastMareast OP 2.00 2.00 2.40 2.40 2.80 2.80
Wedgetail OP 2.00 2.00 2.40 2.40 2.80 2.80
PHB-1(K3)OP 1.88 1.90 2.53 2.40 2.80 2.82
K1 OP 2.00 1.98 2.40 2.40 2.80 2.82

17

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Criteria JORC Code explanation Commentary Commentary Commentary Commentary Commentary Commentary Commentary Commentary
Triple-P & Triple-P
Sth OP
1.80 2.40 2.80
1.80 2.40 2.80
Albatross &
Flamingo OP
1.60 2.20 2.60
1.60 2.20 2.60
Cinnamon OP 1.80 1.80 2.30 2.30 2.70 2.70
Trident UG 1.80 1.80 2.40 2.40 2.90 2.90
K2 UG 1.98 1.98 2.54 2.54 2.90 2.90
Triple-P/Zone-B UG 1.80 1.80 2.40 2.40 2.80 2.8
Average 1.9 1.9 2.4 2.4 2.8 2.8

Geotechnical and rock characteristics data:
-
Geotechnical data has been generated from logging of all oriented
diamond drillholes completed. These data, complimented by field
examination of previous open pits, was evaluated by Peter
O’Bryan and Associates and applied to recommended pit-slopes
used in open pit optimisations and for underground mining
evaluation where applicable. Overall pit slopes of 40 degrees were
used except for Wedgetail and EastMareast where pit slopes of 45
degrees were used. Geotechnical holes exist for Trident UG,
Trident West OP and PHB-1 OP. Diamond drill-core from the
Cinnamon OP deposit was also reviewed, including oxide,
transition and fresh material.

Fibrous Asbestiform Minerals:
-
The Trident deposits (Trident West OP and Trident UG) contain the
fibrous asbestiform mineral actinolite and tremolite. Fibrous
asbestiform minerals have also been detected at Marwest & Mars
OP and Mareast OP. Fibrous minerals had been associated with
previous mining at Marymia and mining and milling processes
were put in place to ensure appropriate Occupational Health and
Safety requirements including adequate ventilation, wash down
areas, the containment of crushed materials and the covering of
waste and tailings. Best practices are being reviewed for mining
and milling implementation.
Further Work
The nature and scale
of planned further
work (eg tests for
lateral extensions or
depth extensions or
large-scale step-out
drilling).
Diagrams clearly
highlighting the areas
of possible extensions,
including the main
geological
interpretations and
future drilling areas,
provided this
information is not
commercially sensitive.
• Interpretation and evaluation of all key resource prospects has
identified potential extensions and repeats of mineralised zones in all
four key mineralised corridors including the PHB, Triple-P, Trident and
Cinnamon corridors.
• Exploration Targets will be estimated for zones of targeted
mineralisation outside the Mineral Resource areas where appropriate.
• Drilling programmes will be designed to test these Exploration Targets
and, based on success, infill drilling will be carried out in order to reach
the necessary drilling density to prepare new Mineral Resource
estimates in due course.
• Plans and cross sections in Appendix 1 show the areas of possible
extensions, including the main geological interpretations and future
drilling areas:
-
Figure 3: Marymia Gold Project, Trident Corridor with Mineral
Resource projects
-
Figure 4: Trident West Mineral Resource cross section 19200mE
-
Figure 5: Marwest – Mars Mineral Resource cross section
20810mE

18

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Criteria JORC Code explanation Commentary
-
Figure 6: Mareast Mineral Resource cross section 22700mE
-
Figure 7: Marymia Gold Project, Triple-P Corridor with Mineral
Resource projects
-
Figure 8: Triple-P and Zone-B Mineral Resource cross section
1920mN
-
Figure 9: Albatross-Flamingo cross section 7900mN with
optimised pit and N-S Resource blocks
-
Figure 10: Marymia Gold Project, PHB Corridor with Mineral
Resource projects
-
Figure 11: K2 West Lode, Central Lode and Main Lode cross
section 16,425mN
-
Figure 12: Longitudinal Projection through K2 Main Lode, PHB-1
optimised pit & Resource model
-
Figure 13: PHB-1 West Lode, Central Lode and Main Lode cross
section 16,875mN
-
Figure 14: K1 Mineral Resource cross section 18,780mN
-
Figure 15: Marymia Gold Project, Cinnamon Corridor with Mineral
Resource projects
-
Figure 16: Cinnamon cross section 26,375mN

19

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Section 3 Estimation and Reporting of Mineral Resources TRIDENT WEST OPEN PIT (OP)

(Criteria listed in section 1, and where relevant in section 2, also apply to this section.)

Criteria JORC Code explanation Commentary
Database
integrity
Measures taken to
ensure that data has
not been corrupted by,
for example,
transcription or keying
errors, between its
initial collection and its
use for Mineral
Resource estimation
purposes.
Data validation
procedures used.

Industry standard checks were carried out on the database using Surpac
Software by Carras Mining Pty Ltd (CMPL). All modelling was carried out
using Surpac Software by CMPL.

Current work has been plotted and examined in MineMap and Surpac in
detail along with the existing extensive Explorer3 RDBMS database.

Previous data was sourced from the best available databases for each
prospect and supplemented by regional databases.

Structural and geotechnical data was collected from historical hard copy
reports in several instances to enhance the geological and geotechnical
database generated by Vango Mining.

All data has been loaded into the Explorer3 RDBMS and has undergone
validation procedures. These include the review of original data, mostly
from historical reporting (e.g. previous Annual Reports) to ensure the
reliability of the data. Any potential data discrepancies have been
examined and corrected where necessary. Some data within the
existing database has been adjusted based on review with the original
source data including Vango Mining data and data from historical
reporting.
Site visits Comment on any site
visits undertaken by
the Competent Person
and the outcome of
those visits.
If no site visits have
been undertaken
indicate why this is the
case.

Dr Spero Carras of CMPL (Competent Person) has visited the Marymia
area and reviewed projects on the ground. Dr Carras also spent a
significant amount of time working on the Marymia geology and
geophysics in conjunction with Mr Jon Dugdale of DRS (Competent
Person for the Exploration Results).
Geological
interpretation
Confidence in (or
conversely, the
uncertainty of) the
geological
interpretation of the
mineral deposit.
Nature of the data
used and of any
assumptions made.
The effect, if any, of
alternative
interpretations on
Mineral Resource
estimation.
The use of geology in
guiding and controlling
Mineral Resource
estimation.
The factors affecting
continuity both of
grade and geology.
Mr Jon Dugdale of DRS carried out geological interpretations of the
Marymia Projects in the offices of CMPL working together with David
Jenkins and Etienne deGaul of Terrasearch and Dr Spero Carras and Mr
Tony Patriarca of CMPL. As a result, CMPL were involved in all aspects of
the geological interpretation used for the Mineral Resource estimation.

Drilling of the Trident West deposit (and adjoining Trident UG deposit)
includes both RC and structurally oriented diamond drillcore.
Structural orientations and examination of timing relationships
between mineralised structures and related alteration mineralogy –
including in petrographic examination (e.g. Phlogopite-Tremolite-
sulphides relationship) has enabled a structural model to be generated
that has guided the interpretation. Drilling density at Trident West is
<20m x 20m and, although re-distribution of gold mineralization has
occurred in the oxide zone of the deposit, the confidence in the
geological interpretation in terms of grade distribution and volume is
high, with a low to moderate degree of uncertainty regarding
variability of orientation.

The nature of the data used for the geological interpretation is almost
entirely drilling data. At Trident West a total of 160 holes for 15,751m
of drilling has been completed both historically and by Vango
Mining. This includes 6 DD holes for 530m and 154 RC holes for
15,221m. Assay data generated from these drillholes is almost entirely
Fire Assayanalyses(see Section 1 for description). Lithological logging

20

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Criteria JORC Code explanation Commentary
has been completed for all historic Vango and other previous drilling.
Data/information generated from structural and geotechnical logging
of diamond drillcore has also been utilised.

Alternative interpretations with respect to the shape and orientation
of mineralised zones, where data is limited to RC drilling (no
orientation not known) are unlikely to significantly effect the volume of
mineralisation but may have a low to moderate effect on continuity
and classification (e.g. Indicated vs Inferred). However, the level of
understanding based on structural orientation data generated
throughout the Trident deposit, and the experience of the geological
team, has limited the interpretation risk to low.

Geology (structural, lithological and alteration) has been a key factor
guiding the interpretation of the orientation, geometry, size and
continuity of the resource envelopes and constraints/boundaries. The
other key factor has been grade distribution and trends in the assay
data, particularly where mineralisation occurs within a rock mass or
the oxide zone.

Key factors affecting continuity both of grade and geology include, in
order of importance:
-
Structural controls – for example, steeply dipping (D3) fault zones
that bound and are interpreted to have controlled dilation in the
shallow dipping ultramafic schist host unit and also host
mineralisation. Some post mineralisation movement may have
accentuated the bounding nature of these structures.
-
Gold mineralisation shoot controls in 3 dimensions have been
observed whjch, in the case of Trident, constrain high-grade
mineralisation to concave, downwarped, flexures in the ultramafic
schist host.
-
The footwall Serpentinite is generally un-mineralised and
constrains the footwall of the mineralisation.
-
Redistribution of gold mineralisation due to re-mobilisation of gold
in the oxide zone and supergene enrichment in the transition zone
of the deposit. Due to leaching and re-precipitation, this can
generate a poddy, discontinuous gold distribution in some areas.
Dimensions The extent and
variability of the
Mineral Resource
expressed as length
(along strike or
otherwise), plan width,
and depth below
surface to the upper
and lower limits of the
Mineral Resource.

The Trident West OP deposit has dimensions of 430m strike northeast -
southwest x 400m northwest - southeast and 150m vertically from
surface.

The Trident West mineralisation strikes generally strikes northeast –
southwest and dips moderately to the northwest.
Estimation and
modelling
techniques
The nature and
appropriateness of the
estimation
technique(s) applied
and key assumptions,
including treatment of
extreme grade values,
domaining,
interpolation
parameters and
maximum distance of

The following outlines the estimation and modelling technique used for
producing Resources for the Trident West OP deposit.

21

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Criteria JORC Code explanation Commentary
extrapolation from
data points. If a
computer assisted
estimation method
was chosen include a
description of
computer software and
parameters used.
The availability of
check estimates,
previous estimates
and/or mine
production records and
whether the Mineral
Resource estimate
takes appropriate
account of such data.
The assumptions made
regarding recovery of
by-products.
Estimation of
deleterious elements or
other non-grade
variables of economic
significance (e.g.
sulphur for acid mine
drainage
characterisation).
In the case of block
model interpolation,
the block size in
relation to the average
sample spacing and
the search employed.
Any assumptions
behind modelling of
selective mining units.
Any assumptions about
correlation between
variables.
Description of how the
geological
interpretation was
used to control the
resource estimates.
Discussion of basis for
using or not using
grade cutting or
capping.
The process of
validation, the
checking process used,
the comparison of
model data to drill hole
data, and use of
reconciliation data if
Deposit Information
1. Wireframes were provided by Terra Search for:
a. Topography based on aerial survey information and historical
open pits.
b. Bottom of Oxidation (BOCO)
c.
Top of Fresh Rock (TOFR)
2. CMPL carried out a review of the weathering surfaces in conjunction
with Mr J Dugdale and Terra Search Geologists.
3. Based on geology and using intersection selection, mineralised shapes
were wireframed at a 0.5g/t nominal cut-off grade and using
intersection selection to constrain the interpretation. These mineralised
shapes could contain values less than 0.5g/t within the wireframes. The
parameters used for intersection selection were 3m down hole which
equates to an approximate 2-2.5m bench height. The intersections
could include 1m of internal dilution and all intersections included 0.5m
of edge dilution. This edge dilution was added to allow for the non-
visible edge definition which would be experienced in the mining
process.
4. The mineralised wireframes were audited by Mr J Dugdale.
5. Each mineralised wireframe had an assigned strike, dip and plunge.
6. The majority of data was 1m lengths and length weighting was used
when modelling the deposit.
7. The number of shapes used to model the deposit was as follows:
The 5 largest shapes contained 82% of the volume.
8. A breakdown of pre-Resource volume for each shape was measured.
This was to ensure that modelling did not over dilute shapes due to block
sizes being used.
9. For each shape a detailed set of weighted statistics was produced. Based
on the statistics, high grade cuts were determined using both the GAP
method and the method of Denham. The GAP method determines the
beginning position of non-linearity of the cumulative probability plot at
the high grade end of the data. The Denham method uses statistical
distribution theory based on the gamma distribution and the co-
efficient of variation.
The selected high grade cut and percentage metal cut (based on drilling
data) is shown below:
Deposit
Orebody
Dimensions
Nominal
Drill Spacing
Metres of
Mineralised
Drilling
Trident West OP
400mE x 300mN x
150mRL
20mE x 20mN
~2,000m
Deposit
Number of Shapes
Trident West OP
69

22

Criteria JORC Code explanation Commentary

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Criteria JORC Code explanation JORC Code explanation Commentary
available. Deposit
Maximum Cut(g/t)
Percentage Metal Cut %
Trident West OP
50g/t
10% (50% of metal cut from
3 samples)
10. Normalised variograms were run and directional variograms were
produced for down hole, down dip, down plunge for 6 mineralised
wireframes covering 82% of the total volume of the deposit.
The 6 mineralised wireframes were modelled using Ordinary Kriging
(OK) with the following parameters:
Nugget:
0.5
Ranges:
50m along strike, 25m down dip, 3m down hole
11. The remaining mineralised wireframes were modelled using Inverse
Distance Power 3 (ID3) interpolation.
12. For both OK and ID3the following parameters were also used:

A minimum number of samples of 2 and a maximum number
of samples of 16

The discretisation parameters were 2E x 1N x 1RL

The following search radii were used:

20m along strike, 20m down dip, 3m down hole (small
shapes)

50m along strike, 25m down dip, 3m down hole (large
shapes)

Note: for blocks that were not filled, the parameters were
relaxed and the search radii were increased.
13. The fundamental block size used was:
Small blocks were used to ensure adequate volume estimation where
shapes were narrow.
14. To check that the interpolation of the block model honoured the drill
data, visual validation was carried out comparing the interpolated
blocks to the sample composite data.
15. Volumes within wireframes were determined and these were then
compared with the block estimates of the volumes within those
wireframes on a shape by shape basis to ensure that volumes
estimated were correct.
16. Classification was carried out using a combination of drill hole density
and geology as the guide as well as the potential mineability as
determined by preliminary pit considerations.
17. The 2023 open pit resources are reported within the May 2020 optimised
designed pit which had used a A$2,500/oz gold price and 2020 costs. The
2020 designed pit includes a minimum turning circle road at the base
with allowance for a 20m wide road. An overall slope of 40 degrees was
used for the designed pit walls following site visits and geotechnical work
carried out by Geotechnical Consultants (Peter O’Bryan and
Associates). The optimised designed pit provided a reasonable basis for
defining the portion of models that may have prospects for economic
exloitation in the foreseeable future and could therefore reasonablbe
Deposit
Small Blocks
Trident West OP
2.5mE x 1mN x 1mRL
p y

23

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Criteria JORC Code explanation Commentary
declared as Open Pit Resources. (Optimisation used a metallurgical
recovery of approximately 92% overall. The Resources reported are
minimally diluted and further dilution, predominately in hard rock,
would be required to produce Reserves as well as new optimisation
studies followed by detailed pit design.)
The 2023 review, using a A$2,800/oz gold price and increasing the May
2020 costs by 32% confirmed the 2020 designed pit remained economic
when considered in conjunction with the underground potential at
Trident. The Trident West OP must be developed to access the Trident
Underground.
The resources reported are above a 0.5 g/t Au cut-off grade and include
oxide, transition and fresh material.
Moisture Whether the tonnages
are estimated on a dry
basis or with natural
moisture, and the
method of
determination of the
moisture content.
• All results are reported on a dry tonnage basis.
Cut-off
parameters
The basis of the
adopted cut-off
grade(s) or quality
parameters applied.
• A 0.5g/t Au cut-off grade is a reasonable mining cut-off grade for open
pit deposits in the Marymia area assuming a 92% recovery and a gold
price of A$2,800.
Mining factors or
assumptions
Assumptions made
regarding possible
mining methods,
minimum mining
dimensions and
internal (or, if
applicable, external)
mining dilution. It is
always necessary as
part of the process of
determining
reasonable prospects
for eventual economic
extraction to consider
potential mining
methods, but the
assumptions made
regarding mining
methods and
parameters when
estimating Mineral
Resources may not
always be rigorous.
Where this is the case,
this should be reported
with an explanation of
the basis of the mining
assumptions made.
• Open pit mining will be the mining method employed going forward
using a 2.5m-5m bench height following grade control drilling.

24

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Criteria JORC Code explanation Commentary
Metallurgical
factors or
assumptions
The basis for
assumptions or
predictions regarding
metallurgical
amenability. It is
always necessary as
part of the process of
determining
reasonable prospects
for eventual economic
extraction to consider
potential metallurgical
methods, but the
assumptions regarding
metallurgical
treatment processes
and parameters made
when reporting
Mineral Resources
may not always be
rigorous. Where this is
the case, this should
be reported with an
explanation of the
basis of the
metallurgical
assumptions made.
• Preliminary metallurgical testwork suggested high recoveries would be
achieved (Oxide 93%, Transition 93%, Fresh 90%). These recoveries were
used in financial assessment of the optimisation studies.
Environmental
factors or
assumptions
Assumptions made
regarding possible
waste and process
residue disposal
options. It is always
necessary as part of
the process of
determining
reasonable prospects
for eventual economic
extraction to consider
the potential
environmental impacts
of the mining and
processing operation.
While at this stage the
determination of
potential
environmental
impacts, particularly
for a greenfields
project, may not
always be well
advanced, the status of
early consideration of
these potential
environmental impacts
should be reported.
Where these aspects
have not been
• To date, there have been no issues in carrying out drilling and having
POW's approved.
• The Trident West OP contains the fibrous asbestiform minerals actinolite
and tremolite. Fibrous minerals had been associated with previous
mining at Marymia and mining and milling processes were put in place to
ensure appropriate Occupational Health and Safety requirements
including adequate ventilation, wash down areas, the containment of
crushed materials and the covering of waste and tailings. Best practices
are being reviewed for mining and milling implementation.

25

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Criteria JORC Code explanation Commentary
considered this should
be reported with an
explanation of the
environmental
assumptions made.
Bulk density Whether assumed or
determined. If
assumed, the basis for
the assumptions. If
determined, the
method used, whether
wet or dry, the
frequency of the
measurements, the
nature, size and
representativeness of
the samples.
The bulk density for
bulk material must
have been measured
by methods that
adequately account for
void spaces (vugs,
porosity, etc), moisture
and differences
between rock and
alteration zones within
the deposit.
Discuss assumptions
for bulk density
estimates used in the
evaluation process of
the different materials.
• The following bulk densities (t/m3) were used:
Oxide:
1.80
Transition:
2.40
Fresh:
2.90
• The bulk densities used were based on actual bulk density measurements
as outlined in Section 2 of the JORC Table.
• Bulk density data has been collected in the field using a standard Weight
in Air/Dry Weight method systematically through the diamond drilling in
the field. Samples were selected and weighed in air and then submerged
and reweighed using scales with a 0.1g accuracy. The samples were from
fresh non-porous rock and generally returned consistent values. Some
samples were covered in wax to ensure the accuracy of the method and
these proved to be consistent with non-waxed measurements.
Classification The basis for the
classification of the
Mineral Resources into
varying confidence
categories.
Whether appropriate
account has been
taken of all relevant
factors (i.e. relative
confidence in
tonnage/grade
estimations, reliability
of input data,
confidence in
continuity of geology
and metal values,
quality, quantity and
distribution of the
data).
Whether the result
appropriately reflects
the Competent
Person’s view of the
deposit.
• All material in Trident West OP has been classified as Indicated Resource.
• Classification was based on a combination of drill hole spacing and
confidence in geological continuity as well as the likelihood that it would
be mined as a pit to access the Trident Underground.
• In general, drill hole spacing of 20mE x 20mN was used, with some infill
holes.
• The potential for eventual open pit mining was determined by
application of the following:

An optimised Whittle pit shell produced in 2020 at A$2,500 per
ounce Au.

Pit slopes determined from geotechnical drilling.

A turning circle of 20m was used to define a pit base.

The resource within the partially designed pits was undiluted
(however sensitivities to dilution were carried out to ensure
robustness of optimisation).

Only non-diluted resources (inclusive of shape dilution) are
reported in the Mineral Resource Statement.

The 2023 review, using a A$2,800/oz gold price and increasing the
May 2020 costs by 32% confirmed the 2020 conceptual pit
remained economic when considered in conjunction with the
underground potential at Trident.
• The Mineral Resource estimate appropriately reflects the view of the
Competent Person.

26

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Criteria JORC Code explanation Commentary
Audits or reviews The results of any
audits or reviews of
Mineral Resource
estimates.
• There have been no other audits and reviews carried out using the same
data as has been used in this study.
Discussion of
relative accuracy/
confidence
Where appropriate a
statement of the
relative accuracy and
confidence level in the
Mineral Resource
estimate using an
approach or procedure
deemed appropriate by
the Competent Person.
For example, the
application of
statistical or
geostatistical
procedures to quantify
the relative accuracy of
the resource within
stated confidence
limits, or, if such an
approach is not
deemed appropriate, a
qualitative discussion
of the factors that
could affect the
relative accuracy and
confidence of the
estimate.
The statement should
specify whether it
relates to global or
local estimates, and, if
local, state the
relevant tonnages,
which should be
relevant to technical
and economic
evaluation.
Documentation should
include assumptions
made and the
procedures used.
These statements of
relative accuracy and
confidence of the
estimate should be
compared with
production data, where
available.
• The interpretation of the deposit is based on drilling and the interpreted
geology mirrors that seen in the Trident Underground. The Trident West
OP is a starter pit which must be developed so that a portal position can
be established for accessing the Trident Underground. Hence it is
included as a resource as material removed from the pit will be milled
providing it is above cut-off grade.

27

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Section 3 Estimation and Reporting of Mineral Resources MARWEST & MARS OPEN PIT (OP)

(Criteria listed in section 1, and where relevant in section 2, also apply to this section.)

Criteria JORC Code explanation Commentary
Database
integrity
Measures taken to
ensure that data has
not been corrupted by,
for example,
transcription or keying
errors, between its
initial collection and its
use for Mineral
Resource estimation
purposes.
Data validation
procedures used.

Industry standard checks were carried out on the database using Surpac
Software by Carras Mining Pty Ltd (CMPL). All modelling was carried out
using Surpac Software by CMPL.

Current work has been plotted and examined in MineMap and Surpac in
detail along with the existing extensive Explorer3 RDBMS database.

Previous data was sourced from the best available databases for each
prospect and supplemented by regional databases.

Structural and geotechnical data was collected from historical hard copy
reports in several instances to enhance the geological and geotechnical
database generated by Vango Mining.

All data has been loaded into the Explorer3 RDBMS and has undergone
validation procedures. These include the review of original data, mostly
from historical reporting (e.g. previous Annual Reports) to ensure the
reliability of the data. Any potential data discrepancies have been
examined and corrected where necessary. Some data within the
existing database has been adjusted based on review with the original
source data including Vango Mining data and data from historical
reporting.
Site visits Comment on any site
visits undertaken by
the Competent Person
and the outcome of
those visits.
If no site visits have
been undertaken
indicate why this is the
case.

Dr Spero Carras of CMPL (Competent Person) has visited the Marymia
area and reviewed projects on the ground. Dr Carras also spent a
significant amount of time working on the Marymia geology and
geophysics in conjunction with Mr Jon Dugdale of DRS (Competent
Person for the Exploration Results).
Geological
interpretation
Confidence in (or
conversely, the
uncertainty of) the
geological
interpretation of the
mineral deposit.
Nature of the data
used and of any
assumptions made.
The effect, if any, of
alternative
interpretations on
Mineral Resource
estimation.
The use of geology in
guiding and controlling
Mineral Resource
estimation.
The factors affecting
continuity both of
grade and geology.
Mr Jon Dugdale of DRS carried out geological interpretations of the
Marymia Projects in the offices of CMPL working together with David
Jenkins and Etienne deGaul of Terrasearch and Dr Spero Carras and Mr
Tony Patriarca of CMPL. As a result, CMPL were involved in all aspects of
the geological interpretation used for the Mineral Resource estimation.

Drilling of the Marwest & Mars OP deposits (and adjoining Trident UG
deposit) includes both RC and structurally oriented diamond drillcore.
Structural orientations and examination of timing relationships
between mineralised structures and related alteration mineralogy –
including in petrographic examination (e.g. Phlogopite-Tremolite-
sulphides relationship) has enabled a structural model to be generated
that has guided the interpretation. Drilling density at Marwest & Mars
OP is <20m x 20m and, although re-distribution of gold mineralization
has occurred in the oxide zone of the deposit, the confidence in the
geological interpretation in terms of grade distribution and volume is
high, with a low to moderate degree of uncertainty regarding
variability of orientation.

The nature of the data used for the geological interpretation is almost
entirely drilling data. At Marwest & Mars OP a total of 367 holes for
28,183m of drilling has been completed both historically and by Vango
Mining. This includes 12 DD holes for 944m and 355 RC holes for
27,239m. Assay data generated from these drillholes is almost entirely
Fire Assayanalyses(see Section 1 for description). Lithological logging

28

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Criteria JORC Code explanation Commentary
has been completed for all Vango and previous drilling.
Data/information generated from structural and geotechnical logging
of diamond drillcore has also been utilised.

Alternative interpretations with respect to the shape and orientation
of mineralised zones, where data is limited to RC drilling (no
orientation not known) are unlikely to significantly effect the volume of
mineralisation but may have a low to moderate effect on continuity
and classification (e.g. Indicated vs Inferred). However, the level of
understanding based on structural orientation data generated
throughout the Trident deposit, and the experience of the geological
team, has limited the interpretation risk to low.

Geology (structural, lithological and alteration) has been a key factor
guiding the interpretation of the orientation, geometry, size and
continuity of the resource envelopes and constraints/boundaries. The
other key factor has been grade distribution and trends in the assay
data, particularly where mineralisation occurs within a rock mass or
the oxide zone.

Key factors affecting continuity both of grade and geology include, in
order of importance:
-
Structural controls – for example, steeply dipping (D3) fault zones
that bound and are interpreted to have controlled dilation in the
shallow dipping ultramafic schist host unit and also host
mineralisation. Some post mineralisation movement may have
accentuated the bounding nature of these structures.
-
Gold mineralisation shoot controls in 3 dimensions have been
observed whjch, in the case of Marwest & Mars OP, constrain
high-grade mineralisation to concave, downwarped, flexures in the
ultramafic schist host.
-
The footwall Serpentinite is generally un-mineralised and
constrains the footwall of the mineralisation.
-
Redistribution of gold mineralisation due to re-mobilisation of gold
in the oxide zone and supergene enrichment in the transition zone
of the deposit. Due to leaching and re-precipitation, this can
generate a poddy, discontinuous gold distribution in some areas.
Dimensions The extent and
variability of the
Mineral Resource
expressed as length
(along strike or
otherwise), plan width,
and depth below
surface to the upper
and lower limits of the
Mineral Resource.

The Marwest & Mars OP deposit has dimensions of 400m strike
northeast - southwest x 400m northwest - southeast and 150m vertically
from surface.
• The Marwest & Mars OP mineralisation strikes generally strikes northeast
– southwest and dips moderately to the northwest.
Estimation and
modelling
techniques
The nature and
appropriateness of the
estimation technique(s)
applied and key
assumptions, including
treatment of extreme
grade values,
domaining,
interpolation
parameters and
maximum distance of
• The following outlines the estimation and modelling technique used for
producing Resources for the Marwest & Mars OP deposit.
Deposit Information
1.
Wireframes were provided by Terra Search for:
Deposit
Orebody
Dimensions
Nominal
Drill Spacing
Metres of
Mineralised
Drilling
Marwest & Mars OP
400mE x 400mN
x 150mRL
20mE x
20mN
1,091m

29

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Criteria JORC Code explanation Commentary Commentary Commentary Commentary
extrapolation from
data points. If a
computer assisted
estimation method was
chosen include a
description of
computer software and
parameters used.
The availability of
check estimates,
previous estimates
and/or mine
production records and
whether the Mineral
Resource estimate
takes appropriate
account of such data.
The assumptions made
regarding recovery of
by-products.
Estimation of
deleterious elements or
other non-grade
variables of economic
significance (e.g.
sulphur for acid mine
drainage
characterisation).
In the case of block
model interpolation,
the block size in
relation to the average
sample spacing and
the search employed.
Any assumptions
behind modelling of
selective mining units.
Any assumptions about
correlation between
variables.
Description of how the
geological
interpretation was
used to control the
resource estimates.
Discussion of basis for
using or not using
grade cutting or
capping.
The process of
validation, the
checking process used,
the comparison of
model data to drill hole
data, and use of
reconciliation data if
a. Topography based on aerial survey information and historical
open pits.
b. Bottom of Oxidation (BOCO)
c.
Top of Fresh Rock (TOFR)
2. CMPL carried out a review of the weathering surfaces in conjunction
with Mr J Dugdale and Terra Search Geologists.
3. Based on geology and using intersection selection, mineralised shapes
were wireframed at a 0.5g/t nominal cut-off grade and using
intersection selection to constrain the interpretation. These mineralised
shapes could contain values less than 0.5g/t within the wireframes. The
parameters used for intersection selection were 3m down hole which
equates to an approximate 2-2.5m bench height. The intersections
could include 1m of internal dilution and all intersections included 0.5m
of edge dilution. This edge dilution was added to allow for the non-
visible edge definition which would be experienced in the mining
process.
4. The mineralised wireframes were audited by Mr J Dugdale.
5. Each mineralised wireframe had an assigned strike, dip and plunge.
6. The majority of data was 1m lengths and length weighting was used
when modelling the deposit.
7. The number of shapes used to model the deposit was as follows:
The 10 largest shapes contained 75% of the volume.
8. A breakdown of pre-Resource volume for each shape was measured.
This was to ensure that modelling did not over dilute shapes due to block
sizes being used.
9. For each shape a detailed set of weighted statistics was produced. Based
on the statistics, high grade cuts were determined using both the GAP
method and the method of Denham. The GAP method determines the
beginning position of non-linearity of the cumulative probability plot at
the high grade end of the data. The Denham method uses statistical
distribution theory based on the gamma distribution and the co-
efficient of variation.
The selected high grade cut and percentage metal cut (based on drilling
data) is shown below:
Deposit
Maximum Cut (g/t)
Percentage Metal Cut %
Marwest & Mars
OP
50g/t (30g/t in some
small areas)
10% (80% of metal cut
from 4 samples)
10. Normalised variograms were run and directional variograms were
produced for down hole, down dip, down plunge for 8 mineralised
wireframes covering 65% of the total volume of the deposit.
The 8 mineralised wireframes were modelled using Ordinary Kriging
(OK) with the following parameters:
Deposit
Number of Shapes
Marwest & Mars OP
62
a. Topography based on aerial survey information and historical
open pits.
b. Bottom of Oxidation (BOCO)
c.
Top of Fresh Rock (TOFR)
CMPL carried out a review of the weathering surfaces in conjunction
with Mr J Dugdale and Terra Search Geologists.
Based on geology and using intersection selection, mineralised shapes
were wireframed at a 0.5g/t nominal cut-off grade and using
intersection selection to constrain the interpretation. These mineralised
shapes could contain values less than 0.5g/t within the wireframes. The
parameters used for intersection selection were 3m down hole which
equates to an approximate 2-2.5m bench height. The intersections
could include 1m of internal dilution and all intersections included 0.5m
of edge dilution. This edge dilution was added to allow for the non-
visible edge definition which would be experienced in the mining
process.
The mineralised wireframes were audited by Mr J Dugdale.
Each mineralised wireframe had an assigned strike, dip and plunge.
The majority of data was 1m lengths and length weighting was used
when modelling the deposit.
The number of shapes used to model the deposit was as follows:
The 10 largest shapes contained 75% of the volume.
A breakdown of pre-Resource volume for each shape was measured.
This was to ensure that modelling did not over dilute shapes due to block
sizes being used.
For each shape a detailed set of weighted statistics was produced. Based
on the statistics, high grade cuts were determined using both the GAP
method and the method of Denham. The GAP method determines the
beginning position of non-linearity of the cumulative probability plot at
the high grade end of the data. The Denham method uses statistical
distribution theory based on the gamma distribution and the co-
efficient of variation.
The selected high grade cut and percentage metal cut (based on drilling
data) is shown below:
Deposit
Number of Shapes
Marwest & Mars OP
62
Deposit Maximum Cut (g/t) Percentage Metal Cut %
Marwest & Mars
OP
50g/t (30g/t in some
small areas)
10% (80% of metal cut
from 4 samples)

30

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Criteria JORC Code explanation Commentary
available. Nugget: 0.5
Ranges: 30m along strike, 30m down dip, 3m down hole
11. The remaining mineralised wireframes were modelled using Inverse
Distance Power 3 (ID3) interpolation.
12. For both OK and ID3the following parameters were also used:

A minimum number of samples of 2 and a maximum number
of samples of 16

The discretisation parameters were 2E x 1N x 1RL

The following search radii were used:

20m along strike, 20m down dip, 2m down hole (small
shapes)

30m along strike, 30m down dip, 3m down hole (large
shapes)

Note: for blocks that were not filled, the parameters were
relaxed and the search radii were increased.
13. The fundamental block size used was:
Small blocks were used to ensure adequate volume estimation where
shapes were narrow.
14. To check that the interpolation of the block model honoured the drill
data, visual validation was carried out comparing the interpolated
blocks to the sample composite data.
15. Volumes within wireframes were determined and these were then
compared with the block estimates of the volumes within those
wireframes on a shape by shape basis to ensure that volumes
estimated were correct.
16. Classification was carried out using a combination of drill hole density
and geology as the guide as well as the potential mineability as
determined by preliminary pit considerations.
17. The 2023 open pit resources are reported within the May 2020
optimised conceptual pit shells which had used a A$2,500/oz gold
price and 2020 costs. In 2020 the pit shells were modified to include
a minimum turning circle road at the base with allowance for a 20m
wide road. An overall slope of 40 degrees was used for pit walls
following site visits and discussions with Geotechnical Consultants
(Peter O’Bryan and Associates). The optimised Whittle pit shells
provided a reasonable basis for defining the portion of models that
may have prospects for economic exploitation in the foreseeable
future and could therefore reasonably be declared as Open Pit
Resources. (Optimisation used a metallurgical recovery of
approximately 92% overall. The Resources reported are minimally
diluted and further dilution, predominately in hard rock, would be
required to produce Reserves as well as new optimisation studies
followed by detailed pit design.)
In 2023, the economic viability of the 2020 conceptual pit was
examined using a A$2,800/oz gold price and increasing the May 2020
costs by 32%. The 2023 study confirmed that the conceptual 2020
pits remained economic using the A$2,800/oz gold price and the
2023 costs and as such the openpit resources remain unchanged
Deposit
Small Blocks
Marwest & Mars OP
2.5mE x 1mN x 1mRL

31

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Criteria JORC Code explanation Commentary
from the reported Mineral Resource Estimate of 2020.
The resources reported are above a 0.5 g/t Au cut-off grade and
include oxide, transition and fresh material.
Moisture Whether the tonnages
are estimated on a dry
basis or with natural
moisture, and the
method of
determination of the
moisture content.

All results are reported on a dry tonnage basis.
Cut-off
parameters
The basis of the
adopted cut-off
grade(s) or quality
parameters applied.

A 0.5g/t Au cut-off grade is a reasonable mining cut-off grade for open
pit deposits in the Marymia area assuming a 92% recovery and a gold
price of A$2,800.
Mining factors or
assumptions
Assumptions made
regarding possible
mining methods,
minimum mining
dimensions and
internal (or, if
applicable, external)
mining dilution. It is
always necessary as
part of the process of
determining
reasonable prospects
for eventual economic
extraction to consider
potential mining
methods, but the
assumptions made
regarding mining
methods and
parameters when
estimating Mineral
Resources may not
always be rigorous.
Where this is the case,
this should be reported
with an explanation of
the basis of the mining
assumptions made.

Open pit mining will be the mining method employed going forward
using a 2.5m-5m bench height following grade control drilling.
Metallurgical
factors or
assumptions
The basis for
assumptions or
predictions regarding
metallurgical
amenability. It is
always necessary as
part of the process of
determining
reasonable prospects
for eventual economic
extraction to consider
potential metallurgical
methods, but the

Preliminary metallurgical testwork suggested high recoveries would be
achieved (Oxide 93%, Transition 93%, Fresh 90%). These recoveries were
used in financial assessment of the optimisation studies.

32

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Criteria JORC Code explanation Commentary
assumptions regarding
metallurgical
treatment processes
and parameters made
when reporting
Mineral Resources may
not always be rigorous.
Where this is the case,
this should be reported
with an explanation of
the basis of the
metallurgical
assumptions made
Environmental
factors or
assumptions
Assumptions made
regarding possible
waste and process
residue disposal
options. It is always
necessary as part of
the process of
determining
reasonable prospects
for eventual economic
extraction to consider
the potential
environmental impacts
of the mining and
processing operation.
While at this stage the
determination of
potential
environmental
impacts, particularly
for a greenfields
project, may not
always be well
advanced, the status of
early consideration of
these potential
environmental impacts
should be reported.
Where these aspects
have not been
considered this should
be reported with an
explanation of the
environmental
assumptions made.

To date, there have been no issues in carrying out drilling and having
POW's approved.

The Marwest & Mars OP contains the fibrous asbestiform minerals
actinolite and tremolite. Fibrous minerals had been associated with
previous mining at Marymia and mining and milling processes were put
in place to ensure appropriate Occupational Health and Safety
requirements including adequate ventilation, wash down areas, the
containment of crushed materials and the covering of waste and tailings.
Best practices are being reviewed for mining and milling
implementation.
Bulk density Whether assumed or
determined. If
assumed, the basis for
the assumptions. If
determined, the
method used, whether
wet or dry, the
frequency of the
measurements, the
• The following bulk densities (t/m3) were used:
Oxide:
1.80
Transition:
2.40
Fresh:
2.90
• The bulk densities used were based on actual bulk density measurements
as outlined in Section 2 of the JORC Table.
• The in-situ bulk densityassignment was based onprevious reported

33

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Criteria JORC Code explanation Commentary
nature, size and
representativeness of
the samples.
The bulk density for
bulk material must
have been measured
by methods that
adequately account for
void spaces (vugs,
porosity, etc), moisture
and differences
between rock and
alteration zones within
the deposit.
Discuss assumptions
for bulk density
estimates used in the
evaluation process of
the different materials.
measurements taken on HG triple tube core and apparent relative
density testing on NQ2 core where available from this deposit and other
deposits in the region with similar host rocks.
Classification The basis for the
classification of the
Mineral Resources into
varying confidence
categories.
Whether appropriate
account has been
taken of all relevant
factors (i.e. relative
confidence in
tonnage/grade
estimations, reliability
of input data,
confidence in
continuity of geology
and metal values,
quality, quantity and
distribution of the
data).
Whether the result
appropriately reflects
the Competent
Person’s view of the
deposit.
• All material in Marwest & Mars OP has been classified as Indicated
Resource.
• Classification was based on a combination of drill hole spacing and
confidence in geological continuity as well as the likelihood that it would
be mined as a pit.
• In general, drill hole spacing of 20mE x 20mN was used, with some infill
holes.
• The potential for eventual open pit mining was determined by
application of the following:

An optimised Whittle pit shell produced in 2020 at A$2,500 per ounce
Au.

Pit slopes were based on performance of existing open pits and a
geotechnical review by Peter O’Bryan and Associates.

A turning circle of 20m was used to define a pit base.

The resource within the partially designed pits was undiluted
(however sensitivities to dilution were carried out to ensure
robustness of optimisation).

Only non-diluted resources (inclusive of shape dilution) are
reported in the Mineral Resource Statement.

The 2023 review, using a A$2,800/oz gold price and increasing the
May 2020 costs by 32% confirmed the 2020 conceptual pit
remained economic_._
• The Mineral Resource estimate appropriately reflects the view of the
Competent Person.
Audits or reviews The results of any
audits or reviews of
Mineral Resource
estimates.
• There have been no other audits and reviews carried out using the same
data as has been used in this study.

34

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Criteria JORC Code explanation Commentary
Discussion of
relative accuracy/
confidence
Where appropriate a
statement of the
relative accuracy and
confidence level in the
Mineral Resource
estimate using an
approach or procedure
deemed appropriate by
the Competent Person.
For example, the
application of
statistical or
geostatistical
procedures to quantify
the relative accuracy of
the resource within
stated confidence
limits, or, if such an
approach is not
deemed appropriate, a
qualitative discussion
of the factors that
could affect the
relative accuracy and
confidence of the
estimate.
The statement should
specify whether it
relates to global or
local estimates, and, if
local, state the relevant
tonnages, which should
be relevant to technical
and economic
evaluation.
Documentation should
include assumptions
made and the
procedures used.
These statements of
relative accuracy and
confidence of the
estimate should be
compared with
production data, where
available.
• The interpretation of the deposit is robust, and it is unlikely that a
different interpretation could be produced as the deposit modelling is
based on previous modelling and mining of the Marwest OP deposit.
Mars OP has not previously been mined.

35

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Section 3 Estimation and Reporting of Mineral Resources MAREAST OPEN PIT (OP)

(Criteria listed in section 1, and where relevant in section 2, also apply to this section.)

Criteria JORC Code explanation Commentary
Database
integrity
Measures taken to
ensure that data has
not been corrupted by,
for example,
transcription or keying
errors, between its
initial collection and its
use for Mineral
Resource estimation
purposes.
Data validation
procedures used.

Industry standard checks were carried out on the database using Surpac
Software by Carras Mining Pty Ltd (CMPL). All modelling was carried out
using Surpac Software by CMPL.

Current work has been plotted and examined in MineMap and Surpac in
detail along with the existing extensive Explorer3 RDBMS database.

Previous data was sourced from the best available databases for each
prospect and supplemented by regional databases.

Structural and geotechnical data was collected from historical hard copy
reports in several instances to enhance the geological and geotechnical
database generated by Vango Mining.

All data has been loaded into the Explorer3 RDBMS and has undergone
validation procedures. These include the review of original data, mostly
from historical reporting (e.g. previous Annual Reports) to ensure the
reliability of the data. Any potential data discrepancies have been
examined and corrected where necessary. Some data within the
existing database has been adjusted based on review with the original
source data including Vango Mining data and data from historical
reporting.
Site visits Comment on any site
visits undertaken by
the Competent Person
and the outcome of
those visits.
If no site visits have
been undertaken
indicate why this is the
case.

Dr Spero Carras of CMPL (Competent Person) has visited the Marymia
area and reviewed projects on the ground. Dr Carras also spent a
significant amount of time working on the Marymia geology and
geophysics in conjunction with Mr Jon Dugdale of DRS (Competent
Person for the Exploration Results).
Geological
interpretation
Confidence in (or
conversely, the
uncertainty of) the
geological
interpretation of the
mineral deposit.
Nature of the data
used and of any
assumptions made.
The effect, if any, of
alternative
interpretations on
Mineral Resource
estimation.
The use of geology in
guiding and controlling
Mineral Resource
estimation.
The factors affecting
continuity both of
grade and geology.
Mr Jon Dugdale of DRS carried out geological interpretations of the
Marymia Projects in the offices of CMPL working together with David
Jenkins and Etienne deGaul of Terrasearch and Dr Spero Carras and Mr
Tony Patriarca of CMPL. As a result, CMPL were involved in all aspects of
the geological interpretation used for the Mineral Resource estimation.

Drilling of the Mareast deposit has been predominantly RC drilling.
However, the Mareast historical open pit remains open and structural
orientations have been observed in pit wall exposures. Structural
orientations and examination of timing relationships between
mineralised structures and related alteration mineralogy in other
deposits such as Trident, has enabled a structural model to be
generated that has guided the interpretation. Drilling density at
Mareast is <20m x 20m and, although re-distribution of gold
mineralization has occurred in the oxide zone of the deposit, the
confidence in the geological interpretation in terms of grade
distribution and volume is high, with a low to moderate degree of
uncertainty regarding variability of orientation.

The nature of the data used for the geological interpretation is almost
entirely drilling data. At Mareast a total of 201 holes for 14,960m of
drilling has been completed both historically and by Vango Mining.
This includes This includes 3 DD holes for 190m and 198 RC holes for
14,770m. Assay data generated from these drillholes is almost entirely
Fire Assayanalyses(see Section 1 for description). Lithological logging

36

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Criteria JORC Code explanation Commentary Commentary Commentary Commentary Commentary Commentary


has been completed for all Vango and previous drilling.
Data/information generated from structural and geotechnical logging
of diamond drillcore has also been utilised.
Alternative interpretations with respect to the shape and orientation
of mineralised zones, where data is limited to RC drilling (no
orientation not known) are unlikely to significantly affect the volume of
mineralisation but may have a low to moderate effect on continuity
and classification (e.g. Indicated vs Inferred).
Geology (structural, lithological and alteration) has been a key factor
guiding the interpretation of the orientation, geometry, size and
continuity of the resource envelopes and constraints/boundaries. The
other key factor has been grade distribution and trends in the assay
data, particularly where mineralisation occurs within a rock mass or
the oxide zone.
Key factors affecting continuity both of grade and geology include, in
order of importance:
-
Structural controls – for example, steeply dipping (D3) fault zones
that bound and are interpreted to have controlled dilation in the
steep to moderate dipping Mafic host unit and also host
mineralisation. Some post mineralisation movement may have
accentuated the bounding nature of these structures.
-
Gold mineralisation shoot controls in 3 dimensions have been
observed which, in the case of Mareast, constrain high-grade
mineralisation to shallow plunging shoots within the mafic host.
-
Intrusive felsic “porphyries” also constrain the mineralsiation.
-
Redistribution of gold mineralisation due to re-mobilisation of gold
in the oxide zone and supergene enrichment in the transition zone
of the deposit. Due to leaching and re-precipitation, this can
generate a poddy, discontinuous gold distribution in some areas.
Dimensions The extent and
variability of the
Mineral Resource
expressed as length
(along strike or
otherwise), plan width,
and depth below
surface to the upper
and lower limits of the
Mineral Resource.

The Mareast OP deposit has dimensions of 450m strike northeast -
southwest x 300m northwest - southeast and 100m vertically from
surface/base of pit.
The Mareast OP mineralised envelope strikes generally strikes northeast
- southwest and dips moderately to the northwest.
Estimation and
modelling
techniques
The nature and
appropriateness of the
estimation technique(s)
applied and key
assumptions, including
treatment of extreme
grade values,
domaining,
interpolation
parameters and
maximum distance of
extrapolation from
data points. If a
computer assisted
estimation method was
chosen include a
• The following outlines the estimation and modelling technique used for
producing Resources for the Mareast OP deposit.
Deposit Information
1. Wireframes were provided by Terra Search for:
a. Topography based on aerial survey information and historical
open pits.
b. Bottom of Oxidation (BOCO)
c.
Top of Fresh Rock (TOFR)
2. CMPL carried out a review of the weathering surfaces in conjunction
with Mr J Dugdale and Terra Search Geologists.
Deposit
Orebody
Dimensions
Nominal
Drill Spacing
Metres of
Mineralised
Drilling
Mareast OP
450mE x 300mN
x 100mRL
25mE x 20mN
1,009m
Deposit Orebody
Dimensions
Nominal
Drill Spacing
Metres of
Mineralised
Drilling
Mareast OP 450mE x 300mN
x 100mRL
25mE x 20mN 1,009m

37

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Criteria JORC Code explanation Commentary
description of
computer software and
parameters used.
The availability of
check estimates,
previous estimates
and/or mine
production records and
whether the Mineral
Resource estimate
takes appropriate
account of such data.
The assumptions made
regarding recovery of
by-products.
Estimation of
deleterious elements or
other non-grade
variables of economic
significance (e.g.
sulphur for acid mine
drainage
characterisation).
In the case of block
model interpolation,
the block size in
relation to the average
sample spacing and
the search employed.
Any assumptions
behind modelling of
selective mining units.
Any assumptions about
correlation between
variables.
Description of how the
geological
interpretation was
used to control the
resource estimates.
Discussion of basis for
using or not using
grade cutting or
capping.
The process of
validation, the
checking process used,
the comparison of
model data to drill hole
data, and use of
reconciliation data if
available.
3. Based on geology and using intersection selection, mineralised shapes
were wireframed at a 0.5g/t nominal cut-off grade and using
intersection selection to constrain the interpretation. These mineralised
shapes could contain values less than 0.5g/t within the wireframes. The
parameters used for intersection selection were 3m down hole which
equates to an approximate 2-2.5m bench height. The intersections
could include 1m of internal dilution and all intersections included 0.5m
of edge dilution. This edge dilution was added to allow for the non-
visible edge definition which would be experienced in the mining
process.
4. The mineralised wireframes were audited by Mr J Dugdale.
5. Each mineralised wireframe had an assigned strike, dip and plunge.
6. The majority of data was 1m lengths and length weighting was used
when modelling the deposit.
7. The number of shapes used to model the deposit was as follows:
The 10 largest shapes contained 70% of the volume.
8. A breakdown of pre-Resource volume for each shape was measured.
This was to ensure that modelling did not over dilute shapes due to block
sizes being used.
9. For each shape a detailed set of weighted statistics was produced. Based
on the statistics, high grade cuts were determined using both the GAP
method and the method of Denham. The GAP method determines the
beginning position of non-linearity of the cumulative probability plot at
the high-grade end of the data. The Denham method uses statistical
distribution theory based on the gamma distribution and the co-
efficient of variation.
The selected high grade cut and percentage metal cut (based on drilling
data) is shown below:
10. Normalised variograms were run and directional variograms were
produced for down hole, down dip, down plunge for 10 mineralised
wireframes covering 65% of the total volume of the deposit.
The 10 mineralised wireframes were modelled using Ordinary Kriging
(OK) with the following parameters:
Nugget:
0.5
Ranges:
30m along strike, 50m down dip, 4m down hole
11. The remaining mineralised wireframes were modelled using Inverse
Distance Power 3 (ID3) interpolation.
12. For both OK and ID3the following parameters were also used:

A minimum number of samples of 2 and a maximum number
of samples of 16

The discretisation parameters were 2E x 1N x 1RL

The followingsearch radii were used:
Deposit
Number of Shapes
Mareast OP
51
Deposit
Maximum Cut (g/t)
Percentage Metal Cut %
Mareast OP
40g/t
14% (50% of metal cut from
2 samples)

38

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Criteria JORC Code explanation Commentary

20m along strike, 20m down dip, 2m down hole (small
shapes)

30m along strike, 50m down dip, 4m down hole (large
shapes)

Note: for blocks that were not filled, the parameters were
relaxed and the search radii were increased.
13. The fundamental block size used was:
Small blocks were used to ensure adequate volume estimation where
shapes were narrow.
14. To check that the interpolation of the block model honoured the drill
data, visual validation was carried out comparing the interpolated
blocks to the sample composite data.
15. Volumes within wireframes were determined and these were then
compared with the block estimates of the volumes within those
wireframes on a shape by shape basis to ensure that volumes
estimated were correct.
16. Classification was carried out using a combination of drill hole density
and geology as the guide as well as the potential mineability as
determined by preliminary pit considerations.
17. The 2023 open pit resources are reported within the May 2020 optimised
conceptual pit shells which had used a A$2,500/oz gold price and 2020
costs. In 2020 the pit shells were modified to include a minimum turning
circle road at the base with allowance for a 20m wide road. An overall
slope of 40 degrees was used for pit walls following site visits and
discussions with Geotechnical Consultants (Peter O’Bryan and
Associates). The optimised Whittle pit shells provided a reasonable
basis for defining the portion of models that may have prospects for
economic exploitation in the foreseeable future and could therefore
reasonably be declared as Open Pit Resources. (Optimisation used a
metallurgical recovery of approximately 92% overall. The Resources
reported are minimally diluted and further dilution, predominately in
hard rock, would be required to produce Reserves as well as new
optimisation studies followed by detailed pit design.)
In 2023, the economic viability of the 2020 conceptual pit was examined
using a A$2,800/oz gold price and increasing the May 2020 costs by 32%.
The 2023 study confirmed that the conceptual 2020 pits remained
economic using the A$2,800/oz gold price and the 2023 costs and as
such the open pit resources remain unchanged from the reported
Mineral Resource Estimate of 2020.
The resources reported are above a 0.5 g/t Au cut-off grade and include
oxide,transition and fresh material.
Deposit
Small Blocks
Mareast OP
2.5mE x 1mN x 1mRL
Moisture Whether the tonnages
are estimated on a dry
basis or with natural
moisture, and the
method of
determination of the
moisture content.
• All results are reported on a dry tonnage basis.

39

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Criteria JORC Code explanation Commentary
Cut-off
parameters
The basis of the
adopted cut-off
grade(s) or quality
parameters
applied.
• A 0.5g/t Au cut-off grade is a reasonable mining cut-off grade for open
pit deposits in the Marymia area assuming a 92% recovery and a gold
price of A$2,800.
Mining factors or
assumptions
Assumptions made
regarding possible
mining methods,
minimum mining
dimensions and
internal (or, if
applicable, external)
mining dilution. It is
always necessary as
part of the process of
determining
reasonable prospects
for eventual economic
extraction to consider
potential mining
methods, but the
assumptions made
regarding mining
methods and
parameters when
estimating Mineral
Resources may not
always be rigorous.
Where this is the case,
this should be reported
with an explanation of
the basis of the mining
assumptions made.
• Open pit mining will be the mining method employed going forward using
a 2.5m-5m bench height following grade control drilling.
Metallurgical
factors or
assumptions
The basis for
assumptions or
predictions regarding
metallurgical
amenability. It is
always necessary as
part of the process of
determining
reasonable prospects
for eventual economic
extraction to consider
potential metallurgical
methods, but the
assumptions regarding
metallurgical
treatment processes
and parameters made
when reporting
Mineral Resources may
not always be rigorous.
Where this is the case,
this should be reported
with an exlanation of
• Preliminary metallurgical testwork suggested high recoveries would be
achieved (Oxide 93%, Transition 93%, Fresh 90%). These recoveries were
used in financial assessment of the optimisation studies.
_p _

40

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Criteria JORC Code explanation Commentary
the basis of the
metallurgical
assumptions made.
Environmental
factors or
assumptions
Assumptions made
regarding possible
waste and process
residue disposal
options. It is always
necessary as part of
the process of
determining
reasonable prospects
for eventual economic
extraction to consider
the potential
environmental impacts
of the mining and
processing operation.
While at this stage the
determination of
potential
environmental
impacts, particularly
for a greenfields
project, may not
always be well
advanced, the status of
early consideration of
these potential
environmental impacts
should be reported.
Where these aspects
have not been
considered this should
be reported with an
explanation of the
environmental
assumptions made.
• To date, there have been no issues in carrying out drilling and having
POW's approved.
• The Mareast OP contains the fibrous asbestiform minerals actinolite and
tremolite. Fibrous minerals had been associated with previous mining at
Marymia and mining and milling processes were put in place to ensure
appropriate Occupational Health and Safety requirements including
adequate ventilation, wash down areas, the containment of crushed
materials and the covering of waste and tailings. Best practices are being
reviewed for mining and milling implementation.
Bulk density Whether assumed or
determined. If
assumed, the basis for
the assumptions. If
determined, the
method used, whether
wet or dry, the
frequency of the
measurements, the
nature, size and
representativeness of
the samples.
The bulk density for
bulk material must
have been measured
by methods that
adequately account for
void spaces(vugs,
• The following bulk densities (t/m3) were used:
Oxide:
1.80
Transition:
2.40
Fresh:
2.80
• The bulk densities used were based on actual bulk density measurements
as outlined in Section 2 of the JORC Table.
• The in-situ bulk density assignment was based on previous reported
measurements taken on HG triple tube core and apparent relative
density testing on NQ2 core where available from this deposit and other
deposits in the region with similar host rocks.

41

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Criteria JORC Code explanation Commentary
porosity, etc), moisture
and differences
between rock and
alteration zones within
the deposit.
Discuss assumptions
for bulk density
estimates used in the
evaluation process of
the different materials
Classification The basis for the
classification of the
Mineral Resources into
varying confidence
categories.
Whether appropriate
account has been
taken of all relevant
factors (i.e. relative
confidence in
tonnage/grade
estimations, reliability
of input data,
confidence in
continuity of geology
and metal values,
quality, quantity and
distribution of the
data).
Whether the result
appropriately reflects
the Competent
Person’s view of the
deposit.
• All material in Mareast OP has been classified as Indicated Resource.
• Classification was based on a combination of drill hole spacing and
confidence in geological continuity as well as the likelihood that it would
be mined as a pit.
• In general, drill hole spacing of 25mE x 20mN was used, with some infill
holes.
• The potential for eventual open pit mining was determined by
application of the following:

An optimised Whittle pit shell produced in 2020 at A$2,500 per ounce
Au.

Pit slopes were based on performance of existing open pits and a
geotechnical review by Peter O’Bryan and Associates.

A turning circle of 20m was used to define a pit base.

The resource within the partially designed pits was undiluted
(however sensitivities to dilution were carried out to ensure
robustness of optimisation).

Only non-diluted resources (inclusive of shape dilution) are
reported in the Mineral Resource Statement.

The 2023 review, using a A$2,800/oz gold price and increasing the
May 2020 costs by 32% confirmed the 2020 conceptual pit
remained economic_._
• The Mineral Resource estimate appropriately reflects the view of the
Competent Person.
Audits or reviews The results of any
audits or reviews of
Mineral Resource
estimates.
• There have been no other audits and reviews carried out using the same
data as has been used in this study.
Discussion of
relative accuracy/
confidence
Where appropriate a
statement of the
relative accuracy and
confidence level in the
Mineral Resource
estimate using an
approach or procedure
deemed appropriate by
the Competent Person.
For example, the
application of
statistical or
geostatistical
procedures to quantify
the relative accuracy of
the resource within
stated confidence
limits, or, if such an
• The interpretation of the deposit is robust, and it is unlikely that a
different interpretation could be produced as the deposit modelling is
based on previous modelling and mining of the Mareast OP deposit.

42

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Criteria JORC Code explanation Commentary
approach is not
deemed appropriate,
a qualitative
discussion of the
factors that could
affect the relative
accuracy and
confidence of the
estimate.
The statement should
specify whether it
relates to global or
local estimates, and, if
local, state the relevant
tonnages, which should
be relevant to technical
and economic
evaluation.
Documentation should
include assumptions
made and the
procedures used.
These statements of
relative accuracy and
confidence of the
estimate should be
compared with
production data,
where available.

43

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Section 3 Estimation and Reporting of Mineral Resources EASTMAREAST OPEN PIT (OP)

(Criteria listed in section 1, and where relevant in section 2, also apply to this section.)

Criteria JORC Code explanation Commentary
Database
integrity
Measures taken to
ensure that data has
not been corrupted by,
for example,
transcription or keying
errors, between its
initial collection and its
use for Mineral
Resource estimation
purposes.
Data validation
procedures used.

Industry standard checks were carried out on the database using Surpac
Software by Carras Mining Pty Ltd (CMPL). All modelling was carried out
using Surpac Software by CMPL.

Current work has been plotted and examined in MineMap and Surpac in
detail along with the existing extensive Explorer3 RDBMS database.

Previous data was sourced from the best available databases for each
prospect and supplemented by regional databases.

Structural and geotechnical data was collected from historical hard copy
reports in several instances to enhance the geological and geotechnical
database generated by Vango Mining.

All data has been loaded into the Explorer3 RDBMS and has undergone
validation procedures. These include the review of original data, mostly
from historical reporting (e.g. previous Annual Reports) to ensure the
reliability of the data. Any potential data discrepancies have been
examined and corrected where necessary. Some data within the
existing database has been adjusted based on review with the original
source data including Vango Mining data and data from historical
reporting.
Site visits Comment on any site
visits undertaken by
the Competent Person
and the outcome of
those visits.
If no site visits have
been undertaken
indicate why this is the
case.

Dr Spero Carras of CMPL (Competent Person) has visited the Marymia
area and reviewed projects on the ground. Dr Carras also spent a
significant amount of time working on the Marymia geology and
geophysics in conjunction with Mr Jon Dugdale of DRS (Competent
Person for the Exploration Results).
Geological
interpretation
Confidence in (or
conversely, the
uncertainty of) the
geological
interpretation of the
mineral deposit.
Nature of the data
used and of any
assumptions made.
The effect, if any, of
alternative
interpretations on
Mineral Resource
estimation.
The use of geology in
guiding and controlling
Mineral Resource
estimation.
The factors affecting
continuity both of
grade and geology.
Mr Jon Dugdale of DRS carried out geological interpretations of the
Marymia Projects in the offices of CMPL working together with David
Jenkins and Etienne deGaul of Terrasearch and Dr Spero Carras and Mr
Tony Patriarca of CMPL. As a result, CMPL were involved in all aspects of
the geological interpretation used for the Mineral Resource estimation.

Drilling of the EastMareast deposit has been predominantly RC drilling.
However, the adjacent Mareast historical open pit remains open and
structural orientations have been observed in pit wall exposures.
Structural orientations and examination of timing relationships
between mineralised structures and related alteration mineralogy in
other deposits such as Trident, has enabled a structural model to be
generated that has guided the interpretation. Drilling density at
EastMareast is <20m x 20m and, although re-distribution of gold
mineralization has occurred in the oxide zone of the deposit, the
confidence in the geological interpretation in terms of grade
distribution and volume is high, with a low to moderate degree of
uncertainty regarding variability of orientation.

The nature of the data used for the geological interpretation is almost
entirely drilling data. At EastMareast a total of 142 RC holes for
3,287m has been completed both historically and by Vango Mining.
Assay data generated from these drillholes is almost entirely Fire Assay
analyses (see Section 1 for description). Lithological logging has been
completed for all Vango andprevious drilling. Data/information

44

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Criteria JORC Code explanation Commentary
generated from structural and geotechnical logging of diamond
drillcore has also been utilised.

Alternative interpretations with respect to the shape and orientation
of mineralised zones, where data is limited to RC drilling (no
orientation not known) are unlikely to significantly effect the volume of
mineralisation but may have a low to moderate effect on continuity
and classification (e.g. Indicated vs Inferred).

Geology (structural, lithological and alteration) has been a key factor
guiding the interpretation of the orientation, geometry, size and
continuity of the resource envelopes and constraints/boundaries. The
other key factor has been grade distribution and trends in the assay
data, particularly where mineralisation occurs within a rock mass or
the oxide zone.

Key factors affecting continuity both of grade and geology include, in
order of importance:
-
Structural controls – for example, steeply dipping (D3) fault zones
that bound and are interpreted to have controlled dilation in the
steep to moderate dipping Mafic host unit and also host
mineralisation. Some post mineralisation movement may have
accentuated the bounding nature of these structures.
-
Gold mineralisation shoot controls in 3 dimensions have been
observed whjch, in the case of EastMareast, constrain high-grade
mineralisation to shallow plunging shoots within the mafic host.
-
Intrusive felsic “porphyries” also constrain the mineralisation.
-
Redistribution of gold mineralisation due to re-mobilisation of gold
in the oxide zone and supergene enrichment in the transition zone
of the deposit. Due to leaching and re-precipitation, this can
generate a poddy, discontinuous gold distribution in some areas.
Dimensions The extent and
variability of the
Mineral Resource
expressed as length
(along strike or
otherwise), plan width,
and depth below
surface to the upper
and lower limits of the
Mineral Resource.
• TheEastMareast OP deposit has dimensions of 300m strike northeast -
southwest x 200m northwest - southeast and 100m vertically from
surface.
• The EastMareast OP mineralised envelope strikes generally strikes
northeast - southwest and dips moderately to the northwest.
Estimation and
modelling
techniques
The nature and
appropriateness of the
estimation technique(s)
applied and key
assumptions, including
treatment of extreme
grade values,
domaining,
interpolation
parameters and
maximum distance of
extrapolation from
data points. If a
computer assisted
estimation method was
chosen include a
description of
• The following outlines the estimation and modelling technique used for
producing Resources for the EastMareast OP deposit.
Deposit Information
1. Wireframes were provided by Terra Search for:
a. Topography based on aerial survey information and historical
open pits.
b. Bottom of Oxidation (BOCO)
c.
Top of Fresh Rock (TOFR)
2. CMPL carried out a review of the weathering surfaces in conjunction
with Mr J Dugdale and Terra Search Geologists.
Deposit
Orebody
Dimensions
Nominal Drill
Spacing
Metres of
Mineralised
Drilling
EastMareast OP
300mE x 200mN
x 90mRL
25mE x 20mN
~600m

45

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Criteria JORC Code explanation Commentary Commentary
computer software and
parameters used.
The availability of
check estimates,
previous estimates
and/or mine
production records and
whether the Mineral
Resource estimate
takes appropriate
account of such data.
The assumptions made
regarding recovery of
by-products.
Estimation of
deleterious elements or
other non-grade
variables of economic
significance (e.g.
sulphur for acid mine
drainage
characterisation).
In the case of block
model interpolation,
the block size in
relation to the average
sample spacing and
the search employed.
Any assumptions
behind modelling of
selective mining units.
Any assumptions about
correlation between
variables.
Description of how the
geological
interpretation was
used to control the
resource estimates.
Discussion of basis for
using or not using
grade cutting or
capping.
The process of
validation, the
checking process used,
the comparison of
model data to drill hole
data, and use of
reconciliation data if
available.
3. Based on geology and using intersection selection, mineralised shapes
were wireframed at a 0.5g/t nominal cut-off grade and using
intersection selection to constrain the interpretation. These mineralised
shapes could contain values less than 0.5g/t within the wireframes. The
parameters used for intersection selection were 3m down hole which
equates to an approximate 2-2.5m bench height. The intersections
could include 1m of internal dilution and all intersections included 0.5m
of edge dilution. This edge dilution was added to allow for the non-
visible edge definition which would be experienced in the mining
process.
4. The mineralised wireframes were audited by Mr J Dugdale.
5. Each mineralised wireframe had an assigned strike, dip and plunge.
6. The majority of data was 1m lengths and length weighting was used
when modelling the deposit.
7. The number of shapes used to model the deposit was as follows:
The 10 largest shapes contained 75% of the volume.
8. A breakdown of pre-Resource volume for each shape was measured.
This was to ensure that modelling did not over dilute shapes due to block
sizes being used.
9. For each shape a detailed set of weighted statistics was produced. Based
on the statistics, high grade cuts were determined using both the GAP
method and the method of Denham. The GAP method determines the
beginning position of non-linearity of the cumulative probability plot at
the high grade end of the data. The Denham method uses statistical
distribution theory based on the gamma distribution and the co-
efficient of variation.
The selected high grade cut and percentage metal cut (based on drilling
data) is shown below:
10. Normalised variograms were run and directional variograms were
produced for down hole, down dip, down plunge for 8 mineralised
wireframes covering 65% of the total volume of the deposit.
The 8 mineralised wireframes were modelled using Ordinary Kriging
(OK) with the following parameters:
Nugget:
0.6
Ranges:
60m along strike, 30m down dip, 4m down hole
11. The remaining mineralised wireframes were modelled using Inverse
Distance Power 3 (ID3) interpolation.
12. For both OK and ID3the following parameters were also used:

A minimum number of samples of 2 and a maximum number
of samples of 16
Deposit
Number of Shapes
EastMareast OP
34
Deposit
Maximum Cut (g/t)
Percentage Metal Cut %
EastMareast OP
No Cut Max 12g/t
No Metal Cut

46

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Criteria JORC Code explanation Commentary

The discretisation parameters were 2E x 1N x 1RL

The following search radii were used:

25m along strike, 25m down dip, 2.5m down hole (small
shapes)

60m along strike, 30m down dip, 4m down hole (large
shapes)

Note: for blocks that were not filled, the parameters were
relaxed and the search radii were increased.
13. The fundamental block size used was:
Small blocks were used to ensure adequate volume estimation where
shapes were narrow.
14. To check that the interpolation of the block model honoured the drill
data, visual validation was carried out comparing the interpolated
blocks to the sample composite data.
15. Volumes within wireframes were determined and these were then
compared with the block estimates of the volumes within those
wireframes on a shape by shape basis to ensure that volumes
estimated were correct.
16. Classification was carried out using a combination of drill hole density
and geology as the guide as well as the potential mineability as
determined by preliminary pit considerations.
17. The 2023 open pit resources are reported within the May 2020 optimised
conceptual pit shells which had used a A$2,500/oz gold price and 2020
costs. In 2020 the pit shells were modified to include a minimum turning
circle road at the base with allowance for a 20m wide road. An overall
slope of 45 degrees was used for pit walls following site visits and
discussions with Geotechnical Consultants (Peter O’Bryan and
Associates). The optimised Whittle pit shells provided a reasonable basis
for defining the portion of models that may have prospects for economic
exploitation in the foreseeable future and could therefore reasonably be
declared as Open Pit Resources. (Optimisation used a metallurgical
recovery of approximately 92% overall. The Resources reported are
minimally diluted and further dilution, predominately in hard rock,
would be required to produce Reserves as well as new optimisation
studies followed by detailed pit design.)
In 2023, the economic viability of the 2020 conceptual pit was examined
using a A$2,800/oz gold price and increasing the May 2020 costs by 32%.
The 2023 study confirmed that the conceptual 2020 pits remained
economic using the A$2,800/oz gold price and the 2023 costs and as
such the open pit resources remain unchanged from the reported
Mineral Resource Estimate of 2020.
The resources reported are above a 0.5 g/t Au cut-off grade and include
oxide,transition and fresh material.
Deposit
Small Blocks
EastMareast OP
0.5mE x 1mN x 1mRL

47

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Criteria JORC Code explanation Commentary
Moisture Whether the tonnages
are estimated on a dry
basis or with natural
moisture, and the
method of
determination of the
moisture content.
• All results are reported on a dry tonnage basis.
Cut-off
parameters
The basis of the
adopted cut-off
grade(s) or quality
parameters
applied.
• A 0.5g/t Au cut-off grade is a reasonable mining cut-off grade for open
pit deposits in the Marymia area assuming a 92% recovery and a gold
price of A$2,800.
Mining factors or
assumptions
Assumptions made
regarding possible
mining methods,
minimum mining
dimensions and
internal (or, if
applicable, external)
mining dilution. It is
always necessary as
part of the process of
determining
reasonable prospects
for eventual economic
extraction to consider
potential mining
methods, but the
assumptions made
regarding mining
methods and
parameters when
estimating Mineral
Resources may not
always be rigorous.
Where this is the case,
this should be reported
with an explanation of
the basis of the
mining
assumptions
made.
• Open pit mining will be the mining method employed going forward using
a 2.5m-5m bench height following grade control drilling.
Metallurgical
factors or
assumptions
The basis for
assumptions or
predictions regarding
metallurgical
amenability. It is
always necessary as
part of the process of
determining
reasonable prospects
for eventual economic
extraction to consider
potential metallurgical
methods, but the
assumptions regarding
• Preliminary metallurgical testwork suggested high recoveries would be
achieved (Oxide 93%, Transition 93%, Fresh 90%). These recoveries were
used in financial assessment of the optimisation studies.

48

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Criteria JORC Code explanation Commentary
metallurgical
treatment processes
and parameters made
when reporting
Mineral Resources may
not always be rigorous.
Where this is the case,
this should be reported
with an explanation of
the basis of the
metallurgical
assumptions made.
Environmental
factors or
assumptions
Assumptions made
regarding possible
waste and process
residue disposal
options. It is always
necessary as part of
the process of
determining
reasonable prospects
for eventual economic
extraction to consider
the potential
environmental impacts
of the mining and
processing operation.
While at this stage the
determination of
potential
environmental
impacts, particularly
for a greenfields
project, may not
always be well
advanced, the status of
early consideration of
these potential
environmental impacts
should be reported.
Where these aspects
have not been
considered this should
be reported with an
explanation of the
environmental
assumptions made.
• There are currently no known environmental factors which will affect the
project. To date, there have been no issues in carrying out drilling and
having POW's approved.
Bulk density Whether assumed or
determined. If
assumed, the basis for
the assumptions. If
determined, the
method used, whether
wet or dry, the
frequency of the
measurements, the
nature, size and
• The following bulk densities (t/m3) were used:
Oxide:
2.00
Transition:
2.40
Fresh:
2.80
• The bulk densities used were based on actual bulk density measurements
as outlined in Section 2 of the JORC Table.

49

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Criteria JORC Code explanation Commentary
representativeness of
the samples.
The bulk density for
bulk material must
have been measured
by methods that
adequately account for
void spaces (vugs,
porosity, etc), moisture
and differences
between rock and
alteration zones within
the deposit.
Discuss assumptions
for bulk density
estimates used in the
evaluation process of
the different
materials.
• The in-situ bulk density assignment was based on previous reported
measurements taken on HG triple tube core and apparent relative
density testing on NQ2 core where available from this deposit and other
deposits in the region with similar host rocks.
Classification The basis for the
classification of the
Mineral Resources into
varying confidence
categories.
Whether appropriate
account has been
taken of all relevant
factors (i.e. relative
confidence in
tonnage/grade
estimations, reliability
of input data,
confidence in
continuity of geology
and metal values,
quality, quantity and
distribution of the
data).
Whether the result
appropriately reflects
the Competent
Person’s view of the
deposit.
• All material in EastMareast OP has been classified as Indicated Resource.
• Classification was based on a combination of drill hole spacing and
confidence in geological continuity as well as the likelihood that it would
be mined as a pit.
• In general, drill hole spacing of 25mE x 20mN was used, with some infill
holes.
• The potential for eventual open pit mining was determined by
application of the following:

An optimised Whittle pit shell produced in 2020 at A$2,500 per ounce
Au.

Pit slopes were based on performance of existing open pits and a
geotechnical review by Peter O’Bryan and Associates.

A turning circle of 20m was used to define a pit base.

The resource within the partially designed pits was undiluted
(however sensitivities to dilution were carried out to ensure
robustness of optimisation).

Only non-diluted resources (inclusive of shape dilution) are
reported in the Mineral Resource Statement.

The 2023 review, using a A$2,800/oz gold price and increasing the
May 2020 costs by 32% confirmed the 2020 conceptual pit
remained economic_._
• The Mineral Resource estimate appropriately reflects the view of the
Competent Person.
Audits or reviews The results of any
audits or reviews of
Mineral Resource
estimates.
• There have been no other audits and reviews carried out using the same
data as has been used in this study.
Discussion of
relative accuracy/
confidence
Where appropriate a
statement of the
relative accuracy and
confidence level in the
Mineral Resource
estimate using an
approach or procedure
deemed appropriate by
the Competent Person.
For example, the
• The interpretation of the deposit is based on geology in the ultramafic
corridor (which includes historically mined Marwest and Mareast) and
while the mineralised shapes pinch and swell they follow the general
behaviour of mineralisation in the ultramafic stratigraphy of the Marymia
belt.

50

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Criteria JORC Code explanation Commentary
application of
statistical or
geostatistical
procedures to quantify
the relative accuracy of
the resource within
stated confidence
limits, or, if such an
approach is not
deemed appropriate,
a qualitative
discussion of the
factors that could
affect the relative
accuracy and
confidence of the
estimate.
The statement should
specify whether it
relates to global or
local estimates, and, if
local, state the relevant
tonnages, which should
be relevant to technical
and economic
evaluation.
Documentation should
include assumptions
made and the
procedures used.
These statements of
relative accuracy and
confidence of the
estimate should be
compared with
production data,
where available.

51

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Section 3 Estimation and Reporting of Mineral Resources WEDGETAIL OPEN PIT (OP)

(Criteria listed in section 1, and where relevant in section 2, also apply to this section.)

Criteria JORC Code explanation Commentary
Database
integrity
Measures taken to
ensure that data has
not been corrupted by,
for example,
transcription or keying
errors, between its
initial collection and its
use for Mineral
Resource estimation
purposes.
Data validation
procedures used.

Industry standard checks were carried out on the database using Surpac
Software by Carras Mining Pty Ltd (CMPL). All modelling was carried out
using Surpac Software by CMPL.

Current work has been plotted and examined in MineMap and Surpac in
detail along with the existing extensive Explorer3 RDBMS database.

Previous data was sourced from the best available databases for each
prospect and supplemented by regional databases.

Structural and geotechnical data was collected from historical hard copy
reports in several instances to enhance the geological and geotechnical
database generated by Vango Mining.

All data has been loaded into the Explorer3 RDBMS and has undergone
validation procedures. These include the review of original data, mostly
from historical reporting (e.g. previous Annual Reports) to ensure the
reliability of the data. Any potential data discrepancies have been
examined and corrected where necessary. Some data within the
existing database has been adjusted based on review with the original
source data including Vango Mining data and data from historical
reporting.
Site visits Comment on any site
visits undertaken by
the Competent Person
and the outcome of
those visits.
If no site visits have
been undertaken
indicate why this is the
case.

Dr Spero Carras of CMPL (Competent Person) has visited the Marymia
area and reviewed projects on the ground. Dr Carras also spent a
significant amount of time working on the Marymia geology and
geophysics in conjunction with Mr Jon Dugdale of DRS (Competent
Person for the Exploration Results).
Geological
interpretation
Confidence in (or
conversely, the
uncertainty of) the
geological
interpretation of the
mineral deposit.
Nature of the data
used and of any
assumptions made.
The effect, if any, of
alternative
interpretations on
Mineral Resource
estimation.
The use of geology in
guiding and controlling
Mineral Resource
estimation.
The factors affecting
continuity both of
grade and geology.
Mr Jon Dugdale of DRS carried out geological interpretations of the
Marymia Projects in the offices of CMPL working together with David
Jenkins and Etienne deGaul of Terrasearch and Dr Spero Carras and Mr
Tony Patriarca of CMPL. As a result, CMPL were involved in all aspects of
the geological interpretation used for the Mineral Resource estimation.

Drilling of the Wedgetail deposit has been predominantly RC drilling.
Structural orientations and examination of timing relationships
between mineralised structures and related alteration mineralogy in
other deposits such as Trident, has enabled a structural model to be
generated that has guided the interpretation. Drilling density at
Wedgetail is <20m x 20m and, although re-distribution of gold
mineralization has occurred in the oxide zone of the deposit, the
confidence in the geological interpretation in terms of grade
distribution and volume is high, with a low to moderate degree of
uncertainty regarding variability of orientation.

The nature of the data used for the geological interpretation is almost
entirely drilling data. At Wedgetail drilling includes a total of 123 RC
holes for 5,948m both historically and by Vango Mining. Assay data
generated from these drillholes is almost entirely Fire Assay analyses
(see Section 1 for description). Lithological logging has been
completed for all Vango and previous drilling. Data/information
generated from structural and geotechnical logging of diamond
drillcore has also been utilised.

52

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Criteria JORC Code explanation Commentary

Alternative interpretations with respect to the shape and orientation
of mineralised zones, where data is limited to RC drilling (no
orientation not known) are unlikely to significantly affect the volume of
mineralisation but may have a low to moderate effect on continuity
and classification (e.g. Indicated vs Inferred).

Geology (structural, lithological and alteration) has been a key factor
guiding the interpretation of the orientation, geometry, size and
continuity of the resource envelopes and constraints/boundaries. The
other key factor has been grade distribution and trends in the assay
data, particularly where mineralisation occurs within a rock mass or
the oxide zone.

Key factors affecting continuity both of grade and geology include, in
order of importance:
-
Structural controls – for example, steeply dipping (D3) fault zones
that bound and are interpreted to have controlled dilation in the
steep to moderate dipping Mafic / felsic porphyry host units and
also host mineralisation. Some post mineralisation movement
may have accentuated the bounding nature of these structures.
-
Gold mineralisation shoot controls in 3 dimensions have been
observed whjch, in the case of Wedgetail, constrain high-grade
mineralisation to shallow plunging shoots within the mafic host.
-
Intrusive felsic “porphyries” also constrain the footwall of the
mineralisation at Wedgetail.
-
Redistribution of gold mineralisation due to re-mobilisation of gold
in the oxide zone and supergene enrichment in the transition zone
of the deposit. Due to leaching and re-precipitation, this can
generate a poddy, discontinuous gold distribution in some areas.
Dimensions The extent and
variability of the
Mineral Resource
expressed as length
(along strike or
otherwise), plan width,
and depth below
surface to the upper
and lower limits of the
Mineral Resource.
• The Wedgetail OP deposit has dimensions of 300m strike northeast -
southwest x 200m northwest - southeast and 100m vertically from
surface.
• The Wedgetail OP mineralised envelope strikes generally strikes
northeast - southwest and dips steep to moderately to the northwest.
Estimation and
modelling
techniques
The nature and
appropriateness of the
estimation technique(s)
applied and key
assumptions, including
treatment of extreme
grade values,
domaining,
interpolation
parameters and
maximum distance of
extrapolation from
data points. If a
computer assisted
estimation method was
chosen include a
description of
computer software and
• The following outlines the estimation and modelling technique used for
producing Resources for the Wedgetail OP deposit.
Deposit Information
1. Wireframes were provided by Terra Search for:
a. Topography based on aerial survey information and historical
open pits.
b. Bottom of Oxidation (BOCO)
c.
Top of Fresh Rock (TOFR)
2. CMPL carried out a review of the weathering surfaces in conjunction
with Mr J Dugdale and Terra Search Geologists.
Deposit
Orebody
Dimensions
Nominal
Drill Spacing
Metres of
Mineralised
Drilling
Wedgetail OP
600mE x 225mN
x 100mRL
25mE x 20mN
625m

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Criteria JORC Code explanation Commentary Commentary
parameters used.
The availability of
check estimates,
previous estimates
and/or mine
production records and
whether the Mineral
Resource estimate
takes appropriate
account of such data.
The assumptions made
regarding recovery of
by-products.
Estimation of
deleterious elements or
other non-grade
variables of economic
significance (e.g.
sulphur for acid mine
drainage
characterisation).
In the case of block
model interpolation,
the block size in
relation to the average
sample spacing and
the search employed.
Any assumptions
behind modelling of
selective mining units.
Any assumptions about
correlation between
variables.
Description of how the
geological
interpretation was
used to control the
resource estimates.
Discussion of basis for
using or not using
grade cutting or
capping.
The process of
validation, the
checking process used,
the comparison of
model data to drill hole
data, and use of
reconciliation data if
available.
3. Based on geology and using intersection selection, mineralised shapes
were wireframed at a 0.5g/t nominal cut-off grade and using
intersection selection to constrain the interpretation. These mineralised
shapes could contain values less than 0.5g/t within the wireframes. The
parameters used for intersection selection were 3m down hole which
equates to an approximate 2-2.5m bench height. The intersections
could include 1m of internal dilution and all intersections included 0.5m
of edge dilution. This edge dilution was added to allow for the non-
visible edge definition which would be experienced in the mining
process.
4. The mineralised wireframes were audited by Mr J Dugdale.
5. Each mineralised wireframe had an assigned strike, dip and plunge.
6. The majority of data was 1m lengths and length weighting was used
when modelling the deposit.
7. The number of shapes used to model the deposit was as follows:
The 6 largest shapes contained 80% of the volume.
8. A breakdown of pre-Resource volume for each shape was measured.
This was to ensure that modelling did not over dilute shapes due to block
sizes being used.
9. For each shape a detailed set of weighted statistics was produced. Based
on the statistics, high grade cuts were determined using both the GAP
method and the method of Denham. The GAP method determines the
beginning position of non-linearity of the cumulative probability plot at
the high grade end of the data. The Denham method uses statistical
distribution theory based on the gamma distribution and the co-
efficient of variation.
The selected high grade cut and percentage metal cut (based on drilling
data) is shown below:
10. Normalised variograms were run and directional variograms were
produced for down hole, down dip, down plunge for 4 mineralised
wireframes covering 75% of the total volume of the deposit.
The 4 mineralised wireframes were modelled using Ordinary Kriging
(OK) with the following parameters:
Nugget:
0.65
Ranges:
40m along strike, 20m down dip, 3m down hole
11. The remaining mineralised wireframes were modelled using Inverse
Distance Power 3 (ID3) interpolation.
12. For both OK and ID3the following parameters were also used:

A minimum number of samples of 2 and a maximum number
of samples of 16

The discretisation parameters were 2E x 1N x 1RL

The followingsearch radii were used:
Deposit
Number of Shapes
Wedgetail OP
24
Deposit
Maximum Cut (g/t)
Percentage Metal Cut %
Wedgetail OP
No Cut Max 18g/t
No Metal Cut

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Criteria JORC Code explanation Commentary

20m along strike, 20m down dip, 3m down hole (small
shapes)

40m along strike, 20m down dip, 3m down hole (large
shapes)

Note: for blocks that were not filled, the parameters were
relaxed and the search radii were increased.
13. The fundamental block size used was:
Small blocks were used to ensure adequate volume estimation where
shapes were narrow.
14. To check that the interpolation of the block model honoured the drill
data, visual validation was carried out comparing the interpolated
blocks to the sample composite data.
15. Volumes within wireframes were determined and these were then
compared with the block estimates of the volumes within those
wireframes on a shape by shape basis to ensure that volumes estimated
were correct.
16. Classification was carried out using a combination of drill hole density
and geology as the guide as well as the potential mineability as
determined by preliminary pit considerations.
17. The 2023 open pit resources are reported within the May 2020 optimised
conceptual pit shells which had used a A$2,500/oz gold price and 2020
costs. In 2020 the pit shells were modified to include a minimum turning
circle road at the base with allowance for a 20m wide road. An overall
slope of 45 degrees was used for pit walls following site visits and
discussions with Geotechnical Consultants (Peter O’Bryan and
Associates). The optimised Whittle pit shells provided a reasonable
basis for defining the portion of models that may have prospects for
economic exploitation in the foreseeable future and could therefore
reasonably be declared as Open Pit Resources. (Optimisation used a
metallurgical recovery of approximately 92% overall. The Resources
reported are minimally diluted and further dilution, predominately in
hard rock, would be required to produce Reserves as well as new
optimisation studies followed by detailed pit design.)
In 2023, the economic viability of the 2020 conceptual pit was examined
using a A$2,800/oz gold price and increasing the May 2020 costs by 32%.
The 2023 study confirmed that the conceptual 2020 pits remained
economic using the A$2,800/oz gold price and the 2023 costs and as
such the open pit resources remain unchanged from the reported
Mineral Resource Estimate of 2020.
The resources reported are above a 0.5 g/t Au cut-off grade and include
oxide,transition and fresh material.
Deposit
Small Blocks
Wedgetail OP
2.5mE x 1mN x 1mRL
Moisture Whether the tonnages
are estimated on a dry
basis or with natural
moisture, and the
method of
determination of the
moisture content.
• All results are reported on a dry tonnage basis.

55

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Criteria JORC Code explanation Commentary
Cut-off
parameters
The basis of the
adopted cut-off
grade(s) or quality
parameters applied.
• A 0.5g/t Au cut-off grade is a reasonable mining cut-off grade for open
pit deposits in the Marymia area assuming a 92% recovery and a gold
price of A$2,800.
Mining factors or
assumptions
Assumptions made
regarding possible
mining methods,
minimum mining
dimensions and
internal (or, if
applicable, external)
mining dilution. It is
always necessary as
part of the process of
determining
reasonable prospects
for eventual economic
extraction to consider
potential mining
methods, but the
assumptions made
regarding mining
methods and
parameters when
estimating Mineral
Resources may not
always be rigorous.
Where this is the case,
this should be reported
with an explanation of
the basis of the
mining
assumptions
made.
• Open pit mining will be the mining method employed going forward using
a 2.5m-5m bench height following grade control drilling.
Metallurgical
factors or
assumptions
The basis for
assumptions or
predictions regarding
metallurgical
amenability. It is
always necessary as
part of the process of
determining
reasonable prospects
for eventual economic
extraction to consider
potential metallurgical
methods, but the
assumptions regarding
metallurgical
treatment processes
and parameters made
when reporting
Mineral Resources may
not always be rigorous.
Where this is the case,
this should be reported
with an explanation of
• Preliminary metallurgical testwork suggested high recoveries would be
achieved (Oxide 92%, Transition 92%, Fresh 92%). These recoveries were
used in financial assessment of the optimisation studies.

56

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Criteria JORC Code explanation Commentary
the basis of the
metallurgical
assumptions made.
Environmental
factors or
assumptions
Assumptions made
regarding possible
waste and process
residue disposal
options. It is always
necessary as part of
the process of
determining
reasonable prospects
for eventual economic
extraction to consider
the potential
environmental impacts
of the mining and
processing operation.
While at this stage the
determination of
potential
environmental
impacts, particularly
for a greenfields
project, may not
always be well
advanced, the status of
early consideration of
these potential
environmental impacts
should be reported.
Where these aspects
have not been
considered this should
be reported with an
explanation of the
environmental
assumptions made.
• There are currently no known environmental factors which will affect the
project. To date, there have been no issues in carrying out drilling and
having POW's approved.
Bulk density Whether assumed or
determined. If
assumed, the basis for
the assumptions. If
determined, the
method used, whether
wet or dry, the
frequency of the
measurements, the
nature, size and
representativeness of
the samples.
The bulk density for
bulk material must
have been measured
by methods that
adequately account for
void spaces(vugs,
• The following bulk densities (t/m3) were used:
Oxide:
2.00
Transition:
2.40
Fresh:
2.80
• The bulk densities used were based on actual bulk density
measurements, as outlined in Section 2 of the JORC Table.
• The in-situ bulk density assignment was based on previous reported
measurements taken on HG triple tube core and apparent relative
density testing on NQ2 core where available from this deposit and other
deposits in the region with similar host rocks.

57

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Criteria JORC Code explanation Commentary
porosity, etc), moisture
and differences
between rock and
alteration zones within
the deposit.
Discuss assumptions
for bulk density
estimates used in the
evaluation process of
the different materials
Classification The basis for the
classification of the
Mineral Resources into
varying confidence
categories.
Whether appropriate
account has been
taken of all relevant
factors (i.e. relative
confidence in
tonnage/grade
estimations, reliability
of input data,
confidence in
continuity of geology
and metal values,
quality, quantity and
distribution of the
data).
Whether the result
appropriately reflects
the Competent
Person’s view of the
deposit.
• All material in Wedgetail OP has been classified as Indicated Resource.
• Classification was based on a combination of drill hole spacing and
confidence in geological continuity as well as the likelihood that it would
be mined as a pit.
• In general, drill hole spacing of 25mE x 20mN was used, with some infill
holes.
• The potential for eventual open pit mining was determined by
application of the following:

An optimised Whittle pit shell produced in 2020 at A$2,500 per ounce
Au.

Pit slopes were based on performance of existing open pits and a
geotechnical review by Peter O’Bryan and Associates.

A turning circle of 20m was used to define a pit base.

The resource within the partially designed pits was undiluted
(however sensitivities to dilution were carried out to ensure
robustness of optimisation).

Only non-diluted resources (inclusive of shape dilution) are
reported in the Mineral Resource Statement.

The 2023 review, using a A$2,800/oz gold price and increasing the
May 2020 costs by 32% confirmed the 2020 conceptual pit
remained economic_._
• The Mineral Resource estimate appropriately reflects the view of the
Competent Person.
Audits or reviews The results of any
audits or reviews of
Mineral Resource
estimates.
• There have been no other audits and reviews carried out using the same
data as has been used in this study.
Discussion of
relative
accuracy/
confidence
Where appropriate a
statement of the
relative accuracy and
confidence level in the
Mineral Resource
estimate using an
approach or procedure
deemed appropriate by
the Competent Person.
For example, the
application of
statistical or
geostatistical
procedures to quantify
the relative accuracy of
the resource within
stated confidence
limits, or, if such an
approach is not
• The interpretation of the deposit is robust, and it is unlikely that a
different interpretation could be produced as the main mineralisation is
constrained to several parallel structures.

58

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Criteria JORC Code explanation Commentary
deemed appropriate,
a qualitative
discussion of the
factors that could
affect the relative
accuracy and
confidence of the
estimate.
The statement should
specify whether it
relates to global or
local estimates, and, if
local, state the relevant
tonnages, which should
be relevant to technical
and economic
evaluation.
Documentation should
include assumptions
made and the
procedures used.
These statements of
relative accuracy and
confidence of the
estimate should be
compared with
production data,
where available.

59

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Section 3 Estimation and Reporting of Mineral Resources PHB-1 (K3) OPEN PIT (OP)

(Criteria listed in section 1, and where relevant in section 2, also apply to this section.)

Criteria JORC Code explanation Commentary
Database
integrity
Measures taken to
ensure that data has
not been corrupted by,
for example,
transcription or keying
errors, between its
initial collection and its
use for Mineral
Resource estimation
purposes.
Data validation
procedures used.

Industry standard checks were carried out on the database using Surpac
Software by Carras Mining Pty Ltd (CMPL). All modelling was carried out
using Surpac Software by CMPL.

Current work has been plotted and examined in MineMap and Surpac in
detail along with the existing extensive Explorer3 RDBMS database.

Previous data was sourced from the best available databases for each
prospect and supplemented by regional databases.

Structural and geotechnical data was collected from historical hard copy
reports in several instances to enhance the geological and geotechnical
database generated by Vango Mining.

All data has been loaded into the Explorer3 RDBMS and has undergone
validation procedures. These include the review of original data, mostly
from historical reporting (e.g. previous Annual Reports) to ensure the
reliability of the data. Any potential data discrepancies have been
examined and corrected where necessary. Some data within the
existing database has been adjusted based on review with the original
source data including Vango Mining data and data from historical
reporting.
Site visits Comment on any site
visits undertaken by
the Competent Person
and the outcome of
those visits.
If no site visits have
been undertaken
indicate why this is the
case.

Dr Spero Carras of CMPL (Competent Person) has visited the Marymia
area and reviewed projects on the ground. Dr Carras also spent a
significant amount of time working on the Marymia geology and
geophysics in conjunction with Mr Jon Dugdale of DRS (Competent
Person for the Exploration Results).
Geological
interpretation
Confidence in (or
conversely, the
uncertainty of) the
geological
interpretation of the
mineral deposit.
Nature of the data
used and of any
assumptions made.
The effect, if any, of
alternative
interpretations on
Mineral Resource
estimation.
The use of geology in
guiding and controlling
Mineral Resource
estimation.
The factors affecting
continuity both of
grade and geology.
Mr Jon Dugdale of DRS carried out geological interpretations of the
Marymia Projects in the offices of CMPL working together with David
Jenkins and Etienne deGaul of Terrasearch and Dr Spero Carras and Mr
Tony Patriarca of CMPL. As a result, CMPL were involved in all aspects of
the geological interpretation used for the Mineral Resource estimation.

Drilling of the PHB-1 (K3) OP deposit (and adjoining K2 UG deposit)
includes both RC and structurally oriented diamond drillcore.
Structural orientations and examination of timing relationships
between mineralised structures and related alteration mineralogy has
enabled a structural model to be generated that has guided the
interpretation. Drilling density at PHB-1 (K3) is generally <20m x 20m
on the West Lode structure with a lower density of drilling testing
extensions of Main Lode and Central Lode and, although re-distribution
of gold mineralization has occurred in the oxide zone of the deposit,
the confidence in the geological interpretation in terms of grade
distribution and volume is high, with a low to moderate degree of
uncertainty regarding variability of orientation.

The nature of the data used for the geological interpretation is almost
entirely drilling data. At PHB-1 (K3) OP a total of 289 holes for
26,079m of drilling has been completed both historically and by Vango
Mining. This includes 14 DD holes for 2,400m and 275 RC holes for
23,679m. Assay data generated from these drillholes is almost entirely
Fire Assayanalyses(see Section 1 for description). Lithological logging

60

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Criteria JORC Code explanation Commentary
has been completed for all Vango and previous drilling.
Data/information generated from structural and geotechnical logging
of diamond drillcore has also been utilised.

Alternative interpretations with respect to the shape and orientation
of mineralised zones, where data is limited to RC drilling (no
orientation not known) are unlikely to significantly affect the volume of
mineralisation but may have a low to moderate effect on continuity
and classification (e.g. Indicated vs Inferred).

Geology (structural, lithological and alteration) has been a key factor
guiding the interpretation of the orientation, geometry, size and
continuity of the resource envelopes and constraints/boundaries. The
other key factor has been grade distribution and trends in the assay
data, particularly where mineralisation occurs within a rock mass or
the oxide zone.

Key factors affecting continuity both of grade and geology include, in
order of importance:
-
Structural controls – for example, steeply dipping (D3) fault zones
that bound and are interpreted to have controlled dilation in the
steeply dipping mafic host unit and also host mineralisation. Some
post mineralisation movement may have accentuated the
bounding nature of these structures.
-
Gold mineralisation shoot controls in 3 dimensions have been
observed whjch, in the case of PHB-1 (K3), constrain high-grade
mineralisation to shallow plunging shoots within the mafic host.
-
Redistribution of gold mineralisation due to re-mobilisation of gold
in the oxide zone and supergene enrichment in the transition zone
of the deposit. Due to leaching and re-precipitation, this can
generate a poddy, discontinuous gold distribution in some areas.
Dimensions The extent and
variability of the
Mineral Resource
expressed as length
(along strike or
otherwise), plan width,
and depth below
surface to the upper
and lower limits of the
Mineral Resource.
• The PHB-1 (K3) deposit has dimensions of 500m strike northeast -
southwest x 250m northwest - southeast and 250m vertically from
surface.
• The PHB-1 (K3) OP mineralised envelope generally strikes northeast -
southwest and dips steeply the northwest or southeast.
Estimation and
modelling
techniques
The nature and
appropriateness of the
estimation technique(s)
applied and key
assumptions, including
treatment of extreme
grade values,
domaining,
interpolation
parameters and
maximum distance of
extrapolation from
data points. If a
computer assisted
estimation method was
chosen include a
description of
• The following outlines the estimation and modelling technique used for
producing Resources for the PHB-1 (K3) OP deposit.
Deposit Information
1. Wireframes were provided by Terra Search for:
a. Topography based on aerial survey information and historical
open pits.
b. Bottom of Oxidation (BOCO)
c.
Top of Fresh Rock (TOFR)
2. CMPL carried out a review of the weathering surfaces in conjunction
with Mr J Dugdale and Terra Search Geologists.
Deposit
Orebody
Dimensions
Nominal
Drill Spacing
Metres of
Mineralised
Drilling
PHB-1 (K3) OP
500mE x 600mN
x 250mRL
25mE x 25mN
~2,500m

61

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Criteria JORC Code explanation Commentary Commentary
computer software and
parameters used.
The availability of
check estimates,
previous estimates
and/or mine
production records and
whether the Mineral
Resource estimate
takes appropriate
account of such data.
The assumptions made
regarding recovery of
by-products.
Estimation of
deleterious elements or
other non-grade
variables of economic
significance (e.g.
sulphur for acid mine
drainage
characterisation).
In the case of block
model interpolation,
the block size in
relation to the average
sample spacing and
the search employed.
Any assumptions
behind modelling of
selective mining units.
Any assumptions about
correlation between
variables.
Description of how the
geological
interpretation was
used to control the
resource estimates.
Discussion of basis for
using or not using
grade cutting or
capping.
The process of
validation, the
checking process used,
the comparison of
model data to drill hole
data, and use of
reconciliation data if
available.
3. Based on geology and using intersection selection, mineralised shapes
were wireframed at a 0.5g/t nominal cut-off grade and using
intersection selection to constrain the interpretation. These mineralised
shapes could contain values less than 0.5g/t within the wireframes. The
parameters used for intersection selection were 6m down hole which
equates to an approximate 3m bench height. The intersections could
include 2m of internal dilution and all intersections included 0.5m of
edge dilution. This edge dilution was added to allow for the non-visible
edge definition which would be experienced in the mining process.
4. The mineralised wireframes were audited by Mr J Dugdale.
5. Each mineralised wireframe had an assigned strike, dip and plunge.
6. The majority of data was 1m lengths and length weighting was used
when modelling the deposit.
7. The number of shapes used to model the deposit was as follows:
The 15 largest shapes contained 65% of the volume.
8. A breakdown of pre-Resource volume for each shape was measured.
This was to ensure that modelling did not over dilute shapes due to block
sizes being used.
9. For each shape a detailed set of weighted statistics was produced. Based
on the statistics, high grade cuts were determined using both the GAP
method and the method of Denham. The GAP method determines the
beginning position of non-linearity of the cumulative probability plot at
the high-grade end of the data. The Denham method uses statistical
distribution theory based on the gamma distribution and the co-
efficient of variation.
The selected high grade cut and percentage metal cut (based on drilling
data) is shown below:
10. Normalised variograms were run and directional variograms were
produced for down hole, down dip, down plunge for 7 mineralised
wireframes covering 40% of the total volume of the deposit.
The 7 mineralised wireframes were modelled using Ordinary Kriging
(OK) with the following parameters:
Nugget:
0.4
Ranges:
50m along strike, 25m down dip, 4m down hole
11. The remaining mineralised wireframes were modelled using Inverse
Distance Power 3 (ID3) interpolation.
12. For both OK and ID3the following parameters were also used:

A minimum number of samples of 2 and a maximum number
of samples of 16

The discretisation parameters were 2E x 1N x 1RL
Deposit
Number of Shapes
PHB-1 (K3) OP
166
Deposit
Maximum Cut (g/t)
Percentage Metal Cut %
PHB-1 (K3) OP
40g/t (larger
shapes) 20g/t
(smaller shapes)
34% (75% of metal cut
from 5 samples, 1 at
640g/t)

62

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Criteria JORC Code explanation Commentary

The following search radii were used:

25m along strike, 25m down dip, 3m down hole (small
shapes)

50m along strike, 25m down dip, 4m down hole (large
shapes)

Note: for blocks that were not filled the parameters were
relaxed and the search radii were increased.
13. The fundamental block size used was:
Small blocks were used to ensure adequate volume estimation where
shapes were narrow.
14. To check that the interpolation of the block model honoured the drill
data, visual validation was carried out comparing the interpolated
blocks to the sample composite data.
15. Volumes within wireframes were determined and these were then
compared with the block estimates of the volumes within those
wireframes on a shape by shape basis to ensure that volumes
estimated were correct.
16. Classification was carried out using a combination of drill hole density
and geology as the guide as well as the potential mineability as
determined by preliminary pit considerations.
17. The 2023 open pit resources are reported within the May 2020 optimised
conceptual pit shells which had used a A$2,500/oz gold price and 2020
costs. In 2020 the pit shells were modified to include a minimum turning
circle road at the base with allowance for a 20m wide road. An overall
slope of approximately 40 degrees was used for pit walls following
detailed geotechnical analysis work carried out on drill holes by
Geotechnical Consultants (Peter O’Bryan and Associates). The optimised
Whittle pit shells provided a reasonable basis for defining the portion of
models that may have prospects for economic exploitation in the
foreseeable future and could therefore reasonably be declared as Open
Pit Resources.
(Optimisation used a metallurgical recovery of
approximately 92% overall. The Resources reported are minimally
diluted and further dilution, predominately in hard rock, would be
required to produce Reserves as well as new optimisation studies
followed by detailed pit design.)
In 2023, the economic viability of the 2020 conceptual pit was examined
using a A$2,800/oz gold price and increasing the May 2020 costs by 32%.
The 2023 study confirmed that the conceptual 2020 pits remained
economic using the A$2,800/oz gold price and the 2023 costs and as such
the open pit resources remain unchanged from the reported Mineral
Resource Estimate of 2020.
The resources reported are above a 0.5 g/t Au cut-off grade and include
oxide,transition and fresh material.
Deposit
Small Blocks
PHB-1 (K3) OP
1mE x 2.5mN x 1mRL

63

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Criteria JORC Code explanation Commentary
Moisture Whether the tonnages
are estimated on a dry
basis or with natural
moisture, and the
method of
determination of the
moisture content.
• All results are reported on a dry tonnage basis.
Cut-off
parameters
The basis of the adopted
cut-off grade(s) or
quality
parameters
applied.
• A 0.5g/t Au cut-off grade is a reasonable mining cut-off grade for open
pit deposits in the Marymia area assuming a 92% recovery and a gold
price of A$2,800.
Mining factors or
assumptions
Assumptions made
regarding possible
mining methods,
minimum mining
dimensions and
internal (or, if
applicable, external)
mining dilution. It is
always necessary as
part of the process of
determining
reasonable prospects
for eventual economic
extraction to consider
potential mining
methods, but the
assumptions made
regarding mining
methods and
parameters when
estimating Mineral
Resources may not
always be rigorous.
Where this is the case,
this should be reported
with an explanation of
the basis of the mining
assumptions
made.
• Open pit mining will be the mining method employed going forward using
a 3m-5m bench height following grade control drilling.
Metallurgical
factors or
assumptions
The basis for
assumptions or
predictions regarding
metallurgical
amenability. It is
always necessary as
part of the process of
determining
reasonable prospects
for eventual economic
extraction to consider
potential metallurgical
methods, but the
assumptions regarding
metallurgical
treatmentprocesses
• Preliminary metallurgical testwork suggested high recoveries would be
achieved (Oxide 93%, Transition 93%, Fresh 90%). These recoveries were
used in financial assessment of the optimisation studies.

64

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Criteria JORC Code explanation Commentary
and parameters made
when reporting
Mineral Resources may
not always be rigorous.
Where this is the case,
this should be reported
with an explanation of
the basis of the
metallurgical
assumptions made.
Environmental
factors or
assumptions
Assumptions made
regarding possible
waste and process
residue disposal
options. It is always
necessary as part of
the process of
determining
reasonable prospects
for eventual economic
extraction to consider
the potential
environmental impacts
of the mining and
processing operation.
While at this stage the
determination of
potential
environmental
impacts, particularly
for a greenfields
project, may not
always be well
advanced, the status of
early consideration of
these potential
environmental impacts
should be reported.
Where these aspects
have not been
considered this should
be reported with an
explanation of the
environmental
assumptions made.
• There are currently no known environmental factors which will affect the
project. To date, there have been no issues in carrying out drilling and
having POW's approved.
Bulk density Whether assumed or
determined. If
assumed, the basis for
the assumptions. If
determined, the
method used, whether
wet or dry, the
frequency of the
measurements, the
nature, size and
representativeness of
the samples.
• The following bulk densities (t/m3) were used:
Oxide:
1.90
Transition:
2.40
Fresh:
2.82
• The bulk densities used were based on actual bulk density measurements
as outlined in Section 2 of the JORC Table.

65

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Criteria JORC Code explanation Commentary
The bulk density for
bulk material must
have been measured
by methods that
adequately account for
void spaces (vugs,
porosity, etc), moisture
and differences
between rock and
alteration zones within
the deposit.
Discuss assumptions
for bulk density
estimates used in the
evaluation process of
the different materials
• Bulk density data has been collected in the field using a standard Weight
in Air/Dry Weight method systematically through the diamond drilling in
the field. Samples were selected and weighed in air and then submerged
and reweighed using scales with a 0.1g accuracy. The samples were from
fresh non-porous rock and generally returned consistent values. Some
samples were covered in wax to ensure the accuracy of the method and
these proved to be consistent with non-waxed measurements.
Classification The basis for the
classification of the
Mineral Resources into
varying confidence
categories.
Whether appropriate
account has been
taken of all relevant
factors (i.e. relative
confidence in
tonnage/grade
estimations, reliability
of input data,
confidence in
continuity of geology
and metal values,
quality, quantity and
distribution of the
data).
Whether the result
appropriately reflects
the Competent
Person’s view of the
deposit.
• Mineralised material in PHB-1 (K3) OP has been classified as Indicated
Resource for larger shapes only. Smaller shapes were classified as
Inferred Resource.
• Classification was based on a combination of drill hole spacing and
confidence in geological continuity as well as the likelihood that it would
be mined as a pit.
• In general, drill hole spacing of 25mE x 25mN was used, with some infill
holes.
• The potential for eventual open pit mining was determined by
application of the following:

An optimised Whittle pit shell produced in 2020 at A$2,500 per ounce
Au.

Pit slopes were determined from geotechnical drilling.

A turning circle of 20m was used to define a pit base.

The resource within the partially designed pits was undiluted
(however sensitivities to dilution were carried out to ensure
robustness of optimisation).

Only non-diluted resources (inclusive of shape dilution) are
reported in the Mineral Resource Statement.

The 2023 review, using a A$2,800/oz gold price and increasing the
May 2020 costs by 32% confirmed the 2020 conceptual pit
remained economic_._
• The Mineral Resource estimate appropriately reflects the view of the
Competent Person.
Audits or reviews The results of any
audits or reviews of
Mineral Resource
estimates.
• There have been no other audits and reviews carried out using the same
data as has been used in this study.
• The current geological interpretation reflects previous interpretations of
PHB-1 (K3) OP by previous owners, although previous estimates were
based on a more tightly constrained model, indicating a preference for a
veryselective miningscenario.
Discussion of
relative accuracy/
confidence
Where appropriate a
statement of the
relative accuracy and
confidence level in the
Mineral Resource
estimate using an
approach or procedure
deemed appropriate by
the Competent Person.
For example, the
• Mineralisation in the PHB-1 (K3) OP is narrow and for this reason a wide
spaced intersection selection has been used which incorporates a
reasonable amount of internal dilution. This will facilitate a more bulk
mining approach in some areas rather than a highly selective mining
approach for the entirety of the deposit.
• The interpretation of the deposit is robust as wider shapes have been
modelled.

66

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Criteria JORC Code explanation Commentary
application of
statistical or
geostatistical
procedures to quantify
the relative accuracy of
the resource within
stated confidence
limits, or, if such an
approach is not
deemed appropriate, a
qualitative discussion
of the factors that
could affect the
relative accuracy and
confidence of the
estimate.
The statement should
specify whether it
relates to global or
local estimates, and, if
local, state the relevant
tonnages, which should
be relevant to technical
and economic
evaluation.
Documentation should
include assumptions
made and the
procedures used.
These statements of
relative accuracy and
confidence of the
estimate should be
compared with
production data, where
available.

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Section 3 Estimation and Reporting of Mineral Resources K1 OPEN PIT (OP)

(Criteria listed in section 1, and where relevant in section 2, also apply to this section.)

Criteria JORC Code explanation Commentary
Database
integrity
Measures taken to
ensure that data has
not been corrupted by,
for example,
transcription or keying
errors, between its
initial collection and its
use for Mineral
Resource estimation
purposes.
Data validation
procedures used.

Industry standard checks were carried out on the database using Surpac
Software by Carras Mining Pty Ltd (CMPL). All modelling was carried out
using Surpac Software by CMPL.

Current work has been plotted and examined in MineMap and Surpac in
detail along with the existing extensive Explorer3 RDBMS database.

Previous data was sourced from the best available databases for each
prospect and supplemented by regional databases.

Structural and geotechnical data was collected from historical hard copy
reports in several instances to enhance the geological and geotechnical
database generated by Vango Mining.

All data has been loaded into the Explorer3 RDBMS and has undergone
validation procedures. These include the review of original data, mostly
from historical reporting (e.g. previous Annual Reports) to ensure the
reliability of the data. Any potential data discrepancies have been
examined and corrected where necessary. Some data within the
existing database has been adjusted based on review with the original
source data including Vango Mining data and data from historical
reporting.
Site visits Comment on any site
visits undertaken by
the Competent Person
and the outcome of
those visits.
If no site visits have
been undertaken
indicate why this is the
case.

Dr Spero Carras of CMPL (Competent Person) has visited the Marymia
area and reviewed projects on the ground. Dr Carras also spent a
significant amount of time working on the Marymia geology and
geophysics in conjunction with Mr Jon Dugdale of DRS (Competent
Person for the Exploration Results).
Geological
interpretation
Confidence in (or
conversely, the
uncertainty of) the
geological
interpretation of the
mineral deposit.
Nature of the data
used and of any
assumptions made.
The effect, if any, of
alternative
interpretations on
Mineral Resource
estimation.
The use of geology in
guiding and controlling
Mineral Resource
estimation.
The factors affecting
continuity both of
grade and geology.
Mr Jon Dugdale of DRS carried out geological interpretations of the
Marymia Projects in the offices of CMPL working together with David
Jenkins and Etienne deGaul of Terrasearch and Dr Spero Carras and Mr
Tony Patriarca of CMPL. As a result, CMPL were involved in all aspects of
the geological interpretation used for the Mineral Resource estimation.

Drilling of the K1 OP deposit includes both RC and structurally oriented
diamond drillcore. Structural orientations and examination of timing
relationships between mineralised structures and related alteration
mineralogy has enabled a structural model to be generated that has
guided the interpretation. Drilling density at K1 OP is generally <20m x
20m and, although re-distribution of gold mineralization has occurred
in the oxide zone of the deposit, the confidence in the geological
interpretation in terms of grade distribution and volume is high, with a
low to moderate degree of uncertainty regarding variability of
orientation.

The nature of the data used for the geological interpretation is almost
entirely drilling data. At K1 OP a total of 1,132 holes for 73,523m of
drilling have been completed, both historically and by Vango Mining.
This includes 34 DD holes for 3,577m and 1,098 RC holes for 69,946m.
Assay data generated from these drillholes is almost entirely Fire Assay
analyses (see Section 1 for description). Lithological logging has been
completed for all Vango and previous drilling. Data/information
generated from structural andgeotechnical loggingof diamond

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Criteria JORC Code explanation Commentary
drillcore has also been utilised.

Alternative interpretations with respect to the shape and orientation
of mineralised zones, where data is limited to RC drilling (no
orientation not known) are unlikely to significantly affect the volume of
mineralisation but may have a low to moderate effect on continuity
and classification (e.g. Indicated vs Inferred).

Geology (structural, lithological and alteration) has been a key factor
guiding the interpretation of the orientation, geometry, size and
continuity of the resource envelopes and constraints/boundaries. The
other key factor has been grade distribution and trends in the assay
data, particularly where mineralisation occurs within a rock mass or
the oxide zone.

Key factors affecting continuity both of grade and geology include, in
order of importance:
-
Structural controls – for example, steeply dipping (D3) fault zones
that bound and are interpreted to have controlled dilation in the
steeply dipping ultramafic/mafic host unit and also host
mineralisation. Some post mineralisation movement may have
accentuated the bounding nature of these structures.
-
Gold mineralisation shoot controls in 3 dimensions have been
observed whjch, in the case of K1 OP, constrain high-grade
mineralisation to shallow plunging shoots within the
ultramafic/mafic host.
-
Redistribution of gold mineralisation due to re-mobilisation of gold
in the oxide zone and supergene enrichment in the transition zone
of the deposit. Due to leaching and re-precipitation, this can
generate a poddy, discontinuous gold distribution in some areas.
Dimensions The extent and
variability of the
Mineral Resource
expressed as length
(along strike or
otherwise), plan width,
and depth below
surface to the upper
and lower limits of the
Mineral Resource.
• The K1 OP deposit has dimensions of 1000m strike northeast - southwest
x 300m northwest - southeast and 130m vertically from surface/pit floor.
• The K1 OP mineralised envelope strikes generally strikes northeast -
southwest and dips steeply the northwest or southeast.
Estimation and
modelling
techniques
The nature and
appropriateness of the
estimation technique(s)
applied and key
assumptions, including
treatment of extreme
grade values,
domaining,
interpolation
parameters and
maximum distance of
extrapolation from
data points. If a
computer assisted
estimation method was
chosen include a
description of
computer software and
• The following outlines the estimation and modelling technique used for
producing Resources for the K1 OP deposit.
Deposit Information
1. Wireframes were provided by Terra Search for:
a. Topography based on aerial survey information and historical
open pits.
b. Bottom of Oxidation (BOCO)
c.
Top of Fresh Rock (TOFR)
2. CMPL carried out a review of the weathering surfaces in conjunction
with Mr J Dugdale and Terra Search Geologists.
Deposit
Orebody
Dimensions
Nominal Drill
Spacing
Metres of
Mineralised
Drilling
K1 OP
300mE x 1,000mN
x 130mRL
20mE x 20mN
~6,000m

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Criteria JORC Code explanation Commentary Commentary
parameters used.
The availability of
check estimates,
previous estimates
and/or mine
production records and
whether the Mineral
Resource estimate
takes appropriate
account of such data.
The assumptions made
regarding recovery of
by-products.
Estimation of
deleterious elements or
other non-grade
variables of economic
significance (e.g.
sulphur for acid mine
drainage
characterisation).
In the case of block
model interpolation,
the block size in
relation to the average
sample spacing and
the search employed.
Any assumptions
behind modelling of
selective mining units.
Any assumptions about
correlation between
variables.
Description of how the
geological
interpretation was
used to control the
resource estimates.
Discussion of basis for
using or not using
grade cutting or
capping.
The process of
validation, the
checking process used,
the comparison of
model data to drill hole
data, and use of
reconciliation data if
available.
3. Based on geology and using intersection selection, mineralised shapes
were wireframed at a 0.5g/t nominal cut-off grade and using
intersection selection to constrain the interpretation. These mineralised
shapes could contain values less than 0.5g/t within the wireframes. The
parameters used for intersection selection were 3m down hole which
equates to an approximate 2-2.5m bench height. The intersections
could include 1m of internal dilution and all intersections included 0.5m
of edge dilution. This edge dilution was added to allow for the non-
visible edge definition which would be experienced in the mining
process.
4. The mineralised wireframes were audited by Mr J Dugdale.
5. Each mineralised wireframe had an assigned strike, dip and plunge.
6. The majority of data was 1m lengths and length weighting was used
when modelling the deposit.
7. The number of shapes used to model the deposit was as follows:
~~The 13 largest shapes contained 50% of the volume.~~
8. A breakdown of pre-Resource volume for each shape was measured.
This was to ensure that modelling did not over dilute shapes due to block
sizes being used.
9. For each shape a detailed set of weighted statistics was produced. Based
on the statistics, high grade cuts were determined using both the GAP
method and the method of Denham. The GAP method determines the
beginning position of non-linearity of the cumulative probability plot at
the high-grade end of the data. The Denham method uses statistical
distribution theory based on the gamma distribution and the co-
efficient of variation.
The selected high grade cut and percentage metal cut (based on drilling
data) is shown below:
10. ~~Normalised variograms were run and directional variograms were~~
produced for down hole, down dip, down plunge for 12 mineralised
wireframes covering 43% of the total volume of the deposit.
The 12 mineralised wireframes were modelled using Ordinary Kriging
(OK) with the following parameters:
Nugget:
0.45
Ranges:
50m along strike, 40m down dip, 4m down hole
11. The remaining mineralised wireframes were modelled using Inverse
Distance Power 2 (ID2) interpolation.
12. For both OK and ID2the following parameters were also used:
Deposit
Number of Shapes
K1 OP
169
Deposit
Maximum Cut (g/t)
Percentage Metal Cut %
K1 OP
40g/t
7% (50% of metal cut
from 5 samples)

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Criteria JORC Code explanation Commentary

A minimum number of samples of 2 and a maximum number
of samples of 16

The discretisation parameters were 2E x 1N x 1RL

The following search radii were used:

20m along strike, 20m down dip, 2.5m down hole (small
shapes)

50m along strike, 40m down dip, 4m down hole (large
shapes)

Note: for blocks that were not filled the parameters were
relaxed and the search radii were increased.
13. The fundamental block size used was:
Small blocks were used to ensure adequate volume estimation where
shapes were narrow.
14. To check that the interpolation of the block model honoured the drill
data, visual validation was carried out comparing the interpolated
blocks to the sample composite data.
15. Volumes within wireframes were determined and these were then
compared with the block estimates of the volumes within those
wireframes on a shape by shape basis to ensure that volumes
estimated were correct.
16. Classification was carried out using a combination of drill hole density
and geology as the guide as well as the potential mineability as
determined by preliminary pit considerations.
17. The 2023 open pit resources are reported within the May 2020 optimised
conceptual pit shells which had used a A$2,500/oz gold price and 2020
costs. In 2020 the pit shells were modified to include a minimum turning
circle road at the base with allowance for a 20m wide road. An overall
slope of 40 degrees was used for pit walls following site visits and
discussions with Geotechnical Consultants (Peter O’Bryan and
Associates). The optimised Whittle pit shells provided a reasonable basis
for defining the portion of models that may have prospects for economic
exploitation in the foreseeable future and could therefore reasonably be
declared as Open Pit Resources. (Optimisation used a metallurgical
recovery of approximately 92% overall. The Resources reported are
minimally diluted and further dilution, predominately in hard rock,
would be required to produce Reserves as well as new optimisation
studies followed by detailed pit design.)
In 2023, the economic viability of the 2020 conceptual pit was examined
using a A$2,800/oz gold price and increasing the May 2020 costs by
32%. The 2023 study confirmed that the conceptual 2020 pits remained
economic using the A$2,800/oz gold price and the 2023 costs and as
such the open pit resources remain unchanged from the reported
Mineral Resource Estimate of 2020.
The resources reported are above a 0.5 g/t Au cut-off grade and include
oxide,transition and fresh material.
Deposit
Small Blocks
K1 OP
1mE x 2.5mN x 1mRL

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Criteria JORC Code explanation Commentary
Moisture Whether the tonnages
are estimated on a dry
basis or with natural
moisture, and the
method of
determination of the
moisture content.
• All results are reported on a dry tonnage basis.
Cut-off
parameters
The basis of the
adopted cut-off
grade(s) or quality
parameters applied.
• A 0.5g/t Au cut-off grade is a reasonable mining cut-off grade for open
pit deposits in the Marymia area assuming a 92% recovery and a gold
price of A$2,800.
Mining factors or
assumptions
Assumptions made
regarding possible
mining methods,
minimum mining
dimensions and
internal (or, if
applicable, external)
mining dilution. It is
always necessary as
part of the process of
determining
reasonable prospects
for eventual economic
extraction to consider
potential mining
methods, but the
assumptions made
regarding mining
methods and
parameters when
estimating Mineral
Resources may not
always be rigorous.
Where this is the case,
this should be reported
with an explanation of
the basis of the
mining
assumptions
made.
• Open pit mining will be the mining method employed going forward using
a 2.5m-5m bench height following grade control drilling.
Metallurgical
factors or
assumptions
The basis for
assumptions or
predictions regarding
metallurgical
amenability. It is
always necessary as
part of the process of
determining
reasonable prospects
for eventual economic
extraction to consider
potential metallurgical
methods, but the
• Preliminary metallurgical testwork suggested high recoveries would be
achieved (Oxide 93%, Transition 93%, Fresh 90%). These recoveries were
used in financial assessment of the optimisation studies.

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Criteria JORC Code explanation Commentary
assumptions regarding
metallurgical
treatment processes
and parameters made
when reporting
Mineral Resources may
not always be rigorous.
Where this is the case,
this should be reported
with an explanation of
the basis of the
metallurgical
assumptions made
Environmental
factors or
assumptions
Assumptions made
regarding possible
waste and process
residue disposal
options. It is always
necessary as part of
the process of
determining
reasonable prospects
for eventual economic
extraction to consider
the potential
environmental impacts
of the mining and
processing operation.
While at this stage the
determination of
potential
environmental
impacts, particularly
for a greenfields
project, may not
always be well
advanced, the status of
early consideration of
these potential
environmental impacts
should be reported.
Where these aspects
have not been
considered this should
be reported with an
explanation of the
environmental
assumptions made.
• To date, there have been no issues in carrying out drilling and having
POW's approved, however the K1 OP contains fibrous asbestiform
mineral tails which will need to be removed in accordance with
Occupational Health and Safety Guidelines prior to commencement of
mining.
Bulk density Whether assumed or
determined. If
assumed, the basis for
the assumptions. If
determined, the
method used, whether
wet or dry, the
frequency of the
measurements, the
• The following bulk densities (t/m3) were used:
Oxide:
1.98
Transition:
2.40
Fresh:
2.82
• The bulk densities used were based on actual bulk density measurements
as outlined in Section 2 of the JORC Table.
• The in-situ bulk densityassignment was based onprevious reported

73

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Criteria JORC Code explanation Commentary
nature, size and
representativeness of
the samples.
The bulk density for
bulk material must
have been measured
by methods that
adequately account for
void spaces (vugs,
porosity, etc), moisture
and differences
between rock and
alteration zones within
the deposit.
Discuss assumptions
for bulk density
estimates used in the
evaluation process of
the different materials
measurements taken on HG triple tube core and apparent relative
density testing on NQ2 core where available from this deposit and other
deposits in the region with similar host rocks.
Classification The basis for the
classification of the
Mineral Resources into
varying confidence
categories.
Whether appropriate
account has been
taken of all relevant
factors (i.e. relative
confidence in
tonnage/grade
estimations, reliability
of input data,
confidence in
continuity of geology
and metal values,
quality, quantity and
distribution of the
data).
Whether the result
appropriately reflects
the Competent
Person’s view of the
deposit.
• Mineralised material in K1 OP has been classified as Indicated Resource
in large shapes and Inferred Resource in smaller shapes.
• Classification was based on a combination of drill hole spacing and
confidence in geological continuity as well as the likelihood that it would
be mined as a pit.
• In general, drill hole spacing of 20mE x 20mN was used, with some infill
holes.
• The potential for eventual open pit mining was determined by
application of the following:

An optimised Whittle pit shell produced in 2020 at A$2,500 per ounce
Au.

Pit slopes were based on performance of existing open pits and a
geotechnical review by Peter O’Bryan and Associates.

A turning circle of 20m was used to define a pit base.

The resource within the partially designed pits was undiluted
(however sensitivities to dilution were carried out to ensure
robustness of optimisation).

Only non-diluted resources (inclusive of shape dilution) are
reported in the Mineral Resource Statement.

The 2023 review, using a A$2,800/oz gold price and increasing the
May 2020 costs by 32% confirmed the 2020 conceptual pit
remained economic_._
• The Mineral Resource estimate appropriately reflects the view of the
Competent Person.
Audits or reviews The results of any
audits or reviews of
Mineral Resource
estimates.
• There have been no other audits and reviews carried out using the same
data as has been used in this study.

74

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Criteria JORC Code explanation Commentary
Discussion of
relative accuracy/
confidence
Where appropriate a
statement of the
relative accuracy and
confidence level in the
Mineral Resource
estimate using an
approach or procedure
deemed appropriate by
the Competent Person.
For example, the
application of
statistical or
geostatistical
procedures to quantify
the relative accuracy of
the resource within
stated confidence
limits, or, if such an
approach is not
deemed appropriate, a
qualitative discussion
of the factors that
could affect the
relative accuracy and
confidence of the
estimate.
The statement should
specify whether it
relates to global or
local estimates, and, if
local, state the relevant
tonnages, which should
be relevant to technical
and economic
evaluation.
Documentation should
include assumptions
made and the
procedures used.
These statements of
relative accuracy and
confidence of the
estimate should be
compared with
production data,
where available.
• The interpretation of the deposit is robust, and it is unlikely that a
different interpretation could be produced as previous mining on which
the deposit modelling is based exists. Wider structures have been the
focus of the current study, although a number of narrower structures
have also been included and will be the focus of intensive grade control
drilling.

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Section 3 Estimation and Reporting of Mineral Resources TRIPLE-P, TRIPLE-P STH OPEN PIT (OP)

(Criteria listed in section 1, and where relevant in section 2, also apply to this section.)

Criteria JORC Code explanation Commentary
Database
integrity
Measures taken to
ensure that data has
not been corrupted by,
for example,
transcription or keying
errors, between its
initial collection and its
use for Mineral
Resource estimation
purposes.
Data validation
procedures used.

Industry standard checks were carried out on the database using Surpac
Software by Carras Mining Pty Ltd (CMPL). All modelling was carried out
using Surpac Software by CMPL.

Current work has been plotted and examined in MineMap and Surpac in
detail along with the existing extensive Explorer3 RDBMS database.

Previous data was sourced from the best available databases for each
prospect and supplemented by regional databases.

Structural and geotechnical data was collected from historical hard copy
reports in several instances to enhance the geological and geotechnical
database generated by Vango Mining.

All data has been loaded into the Explorer3 RDBMS and has undergone
validation procedures. These include the review of original data, mostly
from historical reporting (e.g. previous Annual Reports) to ensure the
reliability of the data. Any potential data discrepancies have been
examined and corrected where necessary. Some data within the
existing database has been adjusted based on review with the original
source data including Vango Mining data and data from historical
reporting.
Site visits Comment on any site
visits undertaken by
the Competent Person
and the outcome of
those visits.
If no site visits have
been undertaken
indicate why this is the
case.

Dr Spero Carras of CMPL (Competent Person) has visited the Marymia
area and reviewed projects on the ground. Dr Carras also spent a
significant amount of time working on the Marymia geology and
geophysics in conjunction with Mr Jon Dugdale of DRS (Competent
Person for the Exploration Results).
Geological
interpretation
Confidence in (or
conversely, the
uncertainty of) the
geological
interpretation of the
mineral deposit.
Nature of the data
used and of any
assumptions made.
The effect, if any, of
alternative
interpretations on
Mineral Resource
estimation.
The use of geology in
guiding and controlling
Mineral Resource
estimation.
The factors affecting
continuity both of
grade and geology.
Mr Jon Dugdale of DRS carried out geological interpretations of the
Marymia Projects in the offices of CMPL working together with David
Jenkins and Etienne deGaul of Terrasearch and Dr Spero Carras and Mr
Tony Patriarca of CMPL. As a result, CMPL were involved in all aspects of
the geological interpretation used for the Mineral Resource estimation.

Drilling of the Triple-P, Triple-P Sth OP deposits includes both RC and
previous diamond drillcore. Structural orientations and examination of
timing relationships between mineralised structures and related
alteration mineralogy at Triple-P and other deposits such as Trident,
has enabled a structural model to be generated that has guided the
interpretation. Drilling density at Triple-P, Triple-P Sth OP is generally
<20m x 20m and, although re-distribution of gold mineralization has
occurred in the oxide zone of the deposit, the confidence in the
geological interpretation in terms of grade distribution and volume is
high, with a low to moderate degree of uncertainty regarding
variability of orientation.

The nature of the data used for the geological interpretation is almost
entirely drilling data. At Triple-P, Triple-P Sth OP a total of 348 holes
for 17,913m of drilling, both historically and by Vango Mining. This
includes 19 DD holes for 1,172m and 329 RC holes for 16,741m. Assay
data generated from these drillholes is almost entirely Fire Assay
analyses (see Section 1 for description). Lithological logging has been
completed for all Vango andprevious drilling. Data/information

76

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Criteria JORC Code explanation Commentary
generated from structural and geotechnical logging of diamond
drillcore has also been utilised.

Alternative interpretations with respect to the shape and orientation
of mineralised zones, where data is limited to RC drilling (no
orientation not known) are unlikely to significantly affect the volume of
mineralisation but may have a low to moderate effect on continuity
and classification (e.g. Indicated vs Inferred).

Geology (structural, lithological and alteration) has been a key factor
guiding the interpretation of the orientation, geometry, size and
continuity of the resource envelopes and constraints/boundaries. The
other key factor has been grade distribution and trends in the assay
data, particularly where mineralisation occurs within a rock mass or
the oxide zone.

Key factors affecting continuity both of grade and geology include, in
order of importance:
-
Structural controls – for example, steeply dipping (D3) fault zones
that bound and are interpreted to have controlled dilation in the
moderately dipping mafic and sedimentary host units, and also
host mineralisation. Some post mineralisation movement may
have accentuated the bounding nature of these structures.
-
Gold mineralisation shoot controls in 3 dimensions have been
observed whjch, in the case of Triple-P, Triple-P Sth OP, constrain
high-grade mineralisation to shallow plunging shoots within the
mafic/sedimantary host.
-
Intrusive felsic “porphyries” also constrain the footwall of the
mineralisation at Triple-P specifically.
-
Redistribution of gold mineralisation due to re-mobilisation of gold
in the oxide zone and supergene enrichment in the transition zone
of the deposit. Due to leaching and re-precipitation, this can
generate a poddy, discontinuous gold distribution in some areas.
Dimensions The extent and
variability of the
Mineral Resource
expressed as length
(along strike or
otherwise), plan width,
and depth below
surface to the upper
and lower limits of the
Mineral Resource.
• The Triple-P, Triple-P Sth OP deposit has dimensions of 700m strike
northeast - southwest x 500m northwest - southeast and 150m vertically
from surface/pit floor.
• The Triple-P, Triple-P Sth OP mineralised envelope strikes generally
strikes northeast - southwest and dips steeply the northwest or
southeast.
Estimation and
modelling
techniques
The nature and
appropriateness of the
estimation technique(s)
applied and key
assumptions, including
treatment of extreme
grade values,
domaining,
interpolation
parameters and
maximum distance of
extrapolation from
data points. If a
computer assisted
estimation method was
• The following outlines the estimation and modelling technique used for
producing Resources for the Triple-P, Triple-P Sth OP deposit.
Deposit Information
1. Wireframes were provided by Terra Search for:
a. Topography based on aerial survey information and historical
open pits.
b. Bottom of Oxidation (BOCO)
c.
Topof Fresh Rock(TOFR)
Deposit
Orebody
Dimensions
Nominal Drill
Spacing
Metres of
Mineralised
Drilling
Triple-P, Triple-P
Sth OP
500mE x 700mN
x 150mRL
20mE x 20mN
~8,000m

77

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Criteria JORC Code explanation Commentary Commentary
chosen include a
description of
computer software and
parameters used.
The availability of
check estimates,
previous estimates
and/or mine
production records and
whether the Mineral
Resource estimate
takes appropriate
account of such data.
The assumptions made
regarding recovery of
by-products.
Estimation of
deleterious elements or
other non-grade
variables of economic
significance (e.g.
sulphur for acid mine
drainage
characterisation).
In the case of block
model interpolation,
the block size in
relation to the average
sample spacing and
the search employed.
Any assumptions
behind modelling of
selective mining units.
Any assumptions about
correlation between
variables.
Description of how the
geological
interpretation was
used to control the
resource estimates.
Discussion of basis for
using or not using
grade cutting or
capping.
The process of
validation, the
checking process used,
the comparison of
model data to drill hole
data, and use of
reconciliation data if
available.
2.
3.
4.
5.
6.
7.
8.
9.
10.
11.
12.
CMPL carried out a review of the weathering surfaces in conjunction
with Mr J Dugdale and Terra Search Geologists.
Based on geology and using intersection selection, mineralised shapes
were wireframed at a 0.5g/t nominal cut-off grade and using
intersection selection to constrain the interpretation. These mineralised
shapes could contain values less than 0.5g/t within the wireframes. The
parameters used for intersection selection were 3m down hole which
equates to an approximate 2-2.5m bench height. The intersections
could include 1m of internal dilution and all intersections included 0.5m
of edge dilution. This edge dilution was added to allow for the non-
visible edge definition which would be experienced in the mining
process.
The mineralised wireframes were audited by Mr J Dugdale.
Each mineralised wireframe had an assigned strike, dip and plunge.
The majority of data was 1m lengths and length weighting was used
when modelling the deposit.
The number of shapes used to model the deposit was as follows:
The 10 largest shapes contained 75% of the volume.
A breakdown of pre-Resource volume for each shape was measured.
This was to ensure that modelling did not over dilute shapes due to block
sizes being used.
For each shape a detailed set of weighted statistics was produced. Based
on the statistics, high grade cuts were determined using both the GAP
method and the method of Denham. The GAP method determines the
beginning position of non-linearity of the cumulative probability plot at
the high-grade end of the data. The Denham method uses statistical
distribution theory based on the gamma distribution and the co-
efficient of variation.
The selected high grade cut and percentage metal cut (based on drilling
data) is shown below:
Normalised variograms were run and directional variograms were
produced for down hole, down dip, down plunge for 1 mineralised
wireframe covering 40% of the total volume of the deposit.
The 1 mineralised wireframe was modelled using Ordinary Kriging (OK)
with the following parameters:
Nugget:
0.6
Ranges:
60m along strike, 30m down dip, 3m down hole
The remaining mineralised wireframes were modelled using Inverse
Distance Power 3 (ID3) interpolation.
For both OK and ID3the following parameters were also used:

A minimum number of samples of 2 and a maximum number
of samples of 16
Deposit
Number of Shapes
Triple-P, Triple-P Sth OP
116
Deposit
Maximum Cut (g/t)
Percentage Metal Cut %
Triple-P,Triple-P
Sth OP
60g/t (large shapes)
25g/t (small shapes)
6% (35% of metal cut
from 3 samples)

78

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Criteria JORC Code explanation Commentary

The discretisation parameters were 2E x 1N x 1RL

The following search radii were used:

50m along strike, 25m down dip, 3m down hole (small
shapes)

Note: for blocks that were not filled the parameters were
relaxed and the search radii were increased.
13. The fundamental block size used was:
Small blocks were used to ensure adequate volume estimation where
shapes were narrow.
14. To check that the interpolation of the block model honoured the drill
data, visual validation was carried out comparing the interpolated
blocks to the sample composite data.
15. Volumes within wireframes were determined and these were then
compared with the block estimates of the volumes within those
wireframes on a shape by shape basis to ensure that volumes
estimated were correct.
16. Classification was carried out using a combination of drill hole density
and geology as the guide as well as the potential mineability as
determined by preliminary pit considerations.
17. The 2023 open pit resources are reported within the May 2020 optimised
conceptual pit shells which had used a A$2,500/oz gold price and 2020
costs. In 2020 the pit shells were modified to include a minimum turning
circle road at the base with allowance for a 20m wide road. An overall
slope of 40 degrees was used with the exception of the footwall side
where 30 degrees was implemented, following site visits and discussions
with Geotechnical Consultants (Peter O’Bryan and Associates). The
optimised Whittle pit shells provided a reasonable basis for defining the
portion of models that may have prospects for economic exploitation in
the foreseeable future and could therefore reasonably be declared as
Open Pit Resources. (Optimisation used a metallurgical recovery of
approximately 90% overall. The Resources reported are minimally
diluted and further dilution, predominately in hard rock, would be
required to produce Reserves as well as new optimisation studies
followed by detailed pit design.)
In 2023, the economic viability of the 2020 conceptual pit was examined
using a A$2,800/oz gold price and increasing the May 2020 costs by
32%. The 2023 study confirmed that the conceptual 2020 pits remained
economic using the A$2,800/oz gold price and the 2023 costs and as
such the open pit resources remain unchanged from the reported
Mineral Resource Estimate of 2020.
The resources reported are above a 0.5 g/t Au cut-off grade and include
oxide,transition and fresh material.
Deposit
Small Blocks
Triple-P, Triple-P Sth OP
1mE x 2.5mN x 1mRL
Moisture Whether the tonnages
are estimated on a dry
basis or with natural
moisture, and the
method of
determination of the
moisture content.
• All results are reported on a dry tonnage basis.

79

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Criteria JORC Code explanation Commentary
Cut-off
parameters
The basis of the
adopted cut-off
grade(s) or quality
parameters applied.
• A 0.5g/t Au cut-off grade is a reasonable mining cut-off grade for open
pit deposits in the Marymia area assuming a 90% recovery and a gold
price of A$2,800.
Mining factors or
assumptions
Assumptions made
regarding possible
mining methods,
minimum mining
dimensions and
internal (or, if
applicable, external)
mining dilution. It is
always necessary as
part of the process of
determining
reasonable prospects
for eventual economic
extraction to consider
potential mining
methods, but the
assumptions made
regarding mining
methods and
parameters when
estimating Mineral
Resources may not
always be rigorous.
Where this is the case,
this should be reported
with an explanation of
the basis of the
mining
assumptions
made.
• Open pit mining will be the mining method employed going forward using
a 2.5m-5m bench height following grade control drilling.
Metallurgical
factors or
assumptions
The basis for
assumptions or
predictions regarding
metallurgical
amenability. It is
always necessary as
part of the process of
determining
reasonable prospects
for eventual economic
extraction to consider
potential metallurgical
methods, but the
assumptions regarding
metallurgical
treatment processes
and parameters made
when reporting
Mineral Resources may
not always be rigorous.
Where this is the case,
this should be reported
with an explanation of
• Preliminary metallurgical testwork suggested high recoveries would be
achieved (Oxide 92%, Transition 92%, Fresh 86%). Test-work indicates the
fresh recovery can be upgraded to 90% using a combination of flotation
concentrate of sulphide occluded gold, finer grinding and lead nitrate
addition prior to leaching. These recoveries were used in financial
assessment of the optimisation studies.

80

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Criteria JORC Code explanation Commentary
the basis of the
metallurgical
assumptions made.
Environmental
factors or
assumptions
Assumptions made
regarding possible
waste and process
residue disposal
options. It is always
necessary as part of
the process of
determining
reasonable prospects
for eventual economic
extraction to consider
the potential
environmental impacts
of the mining and
processing operation.
While at this stage the
determination of
potential
environmental
impacts, particularly
for a greenfields
project, may not
always be well
advanced, the status of
early consideration of
these potential
environmental impacts
should be reported.
Where these aspects
have not been
considered this should
be reported with an
explanation of the
environmental
assumptions made.
• There are currently no known environmental factors which will affect the
project. To date, there have been no issues in carrying out drilling and
having POW's approved.
Bulk density Whether assumed or
determined. If
assumed, the basis for
the assumptions. If
determined, the
method used, whether
wet or dry, the
frequency of the
measurements, the
nature, size and
representativeness of
the samples.
The bulk density for
bulk material must
have been measured
by methods that
adequately account for
void spaces(vugs,
• The following bulk densities (t/m3) were used:
Oxide:
1.80
Transition:
2.40
Fresh:
2.80
• The bulk densities used were based on actual bulk density measurements
as outlined in Section 2 of the JORC Table.
• The in-situ bulk density assignment was based on previous reported
measurements taken on HG triple tube core and apparent relative
density testing on NQ2 core where available from this deposit and other
deposits in the region with similar host rocks.

81

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Criteria JORC Code explanation Commentary
porosity, etc), moisture
and differences
between rock and
alteration zones within
the deposit.
Discuss assumptions
for bulk density
estimates used in the
evaluation process of
the different materials
Classification The basis for the
classification of the
Mineral Resources into
varying confidence
categories.
Whether appropriate
account has been
taken of all relevant
factors (i.e. relative
confidence in
tonnage/grade
estimations, reliability
of input data,
confidence in
continuity of geology
and metal values,
quality, quantity and
distribution of the
data).
Whether the result
appropriately reflects
the Competent
Person’s view of the
deposit.
• Mineralised material in Triple-P & Triple-P Sth OP has been classified as
Indicated Resource within the one large shape and Inferred for all other
shapes.
• Classification was based on a combination of drill hole spacing and
confidence in geological continuity as well as the likelihood that it would
be mined as a pit.
• In general, drill hole spacing of 20mE x 20mN was used, with some infill
holes.
• The potential for eventual open pit mining was determined by
application of the following:

An optimised Whittle pit shell produced in 2020 at A$2,500 per ounce
Au.

Pit slopes were based on performance of existing open pits and a
geotechnical review by Peter O’Bryan and Associates.

A turning circle of 20m was used to define a pit base.

The resource within the partially designed pits was undiluted
(however sensitivities to dilution were carried out to ensure
robustness of optimisation).

Only non-diluted resources (inclusive of shape dilution) are
reported in the Mineral Resource Statement.

The 2023 review, using a A$2,800/oz gold price and increasing the
May 2020 costs by 32% confirmed the 2020 conceptual pit
remained economic_._
• The Mineral Resource estimate appropriately reflects the view of the
Competent Person.
Audits or reviews The results of any
audits or reviews of
Mineral Resource
estimates.
• There have been no other audits and reviews carried out using the same
data as has been used in this study.
Discussion of
relative accuracy/
confidence
Where appropriate a
statement of the
relative accuracy and
confidence level in the
Mineral Resource
estimate using an
approach or procedure
deemed appropriate by
the Competent Person.
For example, the
application of
statistical or
geostatistical
procedures to quantify
the relative accuracy of
the resource within
stated confidence
• The interpretation of the deposit is robust, and it is unlikely that a
different interpretation could be produced as the current model is based
on previous mining.

82

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Criteria JORC Code explanation Commentary
limits, or, if such an
approach is not
deemed appropriate, a
qualitative discussion
of the factors that
could affect the
relative accuracy and
confidence of the
estimate.
The statement should
specify whether it
relates to global or
local estimates, and, if
local, state the relevant
tonnages, which should
be relevant to technical
and economic
evaluation.
Documentation should
include assumptions
made and the
procedures used.
These statements of
relative accuracy and
confidence of the
estimate should be
compared with
production data, where
available.

83

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Section 3 Estimation and Reporting of Mineral Resources ALBATROSS & FLAMINGO OPEN PIT (OP)

(Criteria listed in section 1, and where relevant in section 2, also apply to this section.)

Criteria JORC Code explanation Commentary
Database
integrity
Measures taken to
ensure that data has
not been corrupted by,
for example,
transcription or keying
errors, between its
initial collection and its
use for Mineral
Resource estimation
purposes.
Data validation
procedures used.

Industry standard checks were carried out on the database using Surpac
Software by Carras Mining Pty Ltd (CMPL). All modelling was carried out
using Surpac Software by CMPL.

Current work has been plotted and examined in MineMap and Surpac in
detail along with the existing extensive Explorer3 RDBMS database.

Previous data was sourced from the best available databases for each
prospect and supplemented by regional databases.

Structural and geotechnical data was collected from historical hard copy
reports in several instances to enhance the geological and geotechnical
database generated by Vango Mining.

All data has been loaded into the Explorer3 RDBMS and has undergone
validation procedures. These include the review of original data, mostly
from historical reporting (e.g. previous Annual Reports) to ensure the
reliability of the data. Any potential data discrepancies have been
examined and corrected where necessary. Some data within the
existing database has been adjusted based on review with the original
source data including Vango Mining data and data from historical
reporting.
Site visits Comment on any site
visits undertaken by
the Competent Person
and the outcome of
those visits.
If no site visits have
been undertaken
indicate why this is the
case.

Dr Spero Carras of CMPL (Competent Person) has visited the Marymia
area and reviewed projects on the ground. Dr Carras also spent a
significant amount of time working on the Marymia geology and
geophysics in conjunction with Mr Jon Dugdale of DRS (Competent
Person for the Exploration Results).
Geological
interpretation
Confidence in (or
conversely, the
uncertainty of) the
geological
interpretation of the
mineral deposit.
Nature of the data
used and of any
assumptions made.
The effect, if any, of
alternative
interpretations on
Mineral Resource
estimation.
The use of geology in
guiding and controlling
Mineral Resource
estimation.
The factors affecting
continuity both of
grade and geology.
Mr Jon Dugdale of DRS carried out geological interpretations of the
Marymia Projects in the offices of CMPL working together with David
Jenkins and Etienne deGaul of Terrasearch and Dr Spero Carras and Mr
Tony Patriarca of CMPL. As a result, CMPL were involved in all aspects of
the geological interpretation used for the Mineral Resource estimation.

Drilling of the Albatross & Flamingo OP deposits includes
predominantly RC. Structural orientations and examination of timing
relationships between mineralised structures and related alteration
mineralogy at other deposits such as Trident, has enabled a structural
model to be generated that has guided the interpretation. Drilling
density at Albatross & Flamingo OP is generally <20m x 20m and,
although re-distribution of gold mineralization has occurred in the
oxide zone of the deposit, the confidence in the geological
interpretation in terms of grade distribution and volume is high, with a
moderate degree of uncertainty regarding variability of shape and
orientation, particularly in the oxide zone.

The nature of the data used for the geological interpretation is almost
entirely drilling data. At Albatross & Flamingo OP a total of 380 holes
for 33,779m of drilling both historically and by Vango Mining. This
includes 5 DD holes for 336m and 375 RC holes for 33,443m. Assay
data generated from these drillholes is almost entirely Fire Assay
analyses (see Section 1 for description). Lithological logging has been
completed for all Vango andprevious drilling. Data/information

84

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Criteria JORC Code explanation Commentary
generated from structural and geotechnical logging of diamond
drillcore has also been utilised.

Alternative interpretations with respect to the shape and orientation
of mineralised zones, where data is limited to RC drilling (no
orientation not known) are unlikely to significantly affect the volume of
mineralisation but may have a low to moderate effect on continuity
and classification (e.g. Indicated vs Inferred).

Geology (structural, lithological and alteration) has been a key factor
guiding the interpretation of the orientation, geometry, size and
continuity of the resource envelopes and constraints/boundaries. The
other key factor has been grade distribution and trends in the assay
data, particularly where mineralisation occurs within a rock mass or
the oxide zone.

Key factors affecting continuity both of grade and geology include, in
order of importance:
-
Structural controls – for example, steeply dipping (D3) fault zones
that bound and are interpreted to have controlled dilation in the
shallow to moderately dipping sedimentary and mafic host units,
and also host mineralisation. Some post mineralisation movement
may have accentuated the bounding nature of these structures.
-
Gold mineralisation shoot controls in 3 dimensions have been
observed whjch, in the case of Albatross & Flamingo OP, constrain
high-grade mineralisation to shallow plunging shoots within the
sedimentary and mafic host units.
-
In some cases intrusive felsic “porphyries” also constrain the
footwall of the mineralisation at Albatross & Flamingo OP.
-
Redistribution of gold mineralisation due to re-mobilisation of gold
in the oxide zone and supergene enrichment in the transition zone
of the deposit. Due to leaching and re-precipitation, this can
generate a poddy, discontinuous gold distribution in some areas.
Modeling of the continuity of these zones has in some cases been
difficult and this has led to a sectional projection model being
generated.
Dimensions The extent and
variability of the
Mineral Resource
expressed as length
(along strike or
otherwise), plan width,
and depth below
surface to the upper
and lower limits of the
Mineral Resource.
• The Albatross & Flamingo OP deposit has dimensions of 800m strike
northeast - southwest x 400m northwest - southeast and 170m vertically
from surface/pit(s) floor.
• The Albatross & Flamingo OP mineralised envelope strikes generally
strikes northeast - southwest and dips steeply the northwest or
southeast.
Estimation and
modelling
techniques
The nature and
appropriateness of the
estimation technique(s)
applied and key
assumptions, including
treatment of extreme
grade values,
domaining,
interpolation
parameters and
maximum distance of
extrapolation from


The following outlines the estimation and modelling technique used for
producing Resources for the Albatross & Flamingo OP deposit.
Deposit Information
1.
Wireframes were provided by Terra Search for:
Deposit
Orebody
Dimensions
Nominal
Drill Spacing
Metres of
Mineralised
Drilling
Albatross &
Flamingo OP
400mE x 800mN x
170mRL
20m x 20m
3,800m

85

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Criteria JORC Code explanation Commentary Commentary
data points. If a
computer assisted
estimation method was
chosen include a
description of
computer software and
parameters used.
The availability of
check estimates,
previous estimates
and/or mine
production records and
whether the Mineral
Resource estimate
takes appropriate
account of such data.
The assumptions made
regarding recovery of
by-products.
Estimation of
deleterious elements or
other non-grade
variables of economic
significance (e.g.
sulphur for acid mine
drainage
characterisation).
In the case of block
model interpolation,
the block size in
relation to the average
sample spacing and
the search employed.
Any assumptions
behind modelling of
selective mining units.
Any assumptions about
correlation between
variables.
Description of how the
geological
interpretation was
used to control the
resource estimates.
Discussion of basis for
using or not using
grade cutting or
capping.
The process of
validation, the
checking process used,
the comparison of
model data to drill hole
data, and use of
reconciliation data if
available.
2.
3.
4.
5.
6.
7.
8.
9.
10.
11.
a. Topography based on aerial survey information and historical
open pits.
b. Bottom of Oxidation (BOCO)
c.
Top of Fresh Rock (TOFR)
CMPL carried out a review of the weathering surfaces in conjunction
with Mr J Dugdale and Terra Search Geologists.
Based on geology and using intersection selection, mineralised shapes
were wireframed at a 0.5g/t nominal cut-off grade and using
intersection selection to constrain the interpretation. These mineralised
shapes could contain values less than 0.5g/t within the wireframes. The
parameters used for intersection selection were 3m down hole which
equates to an approximate 2-2.5m bench height. The intersections
could include 1m of internal dilution and all intersections included 0.5m
of edge dilution. This edge dilution was added to allow for the non-
visible edge definition which would be experienced in the mining
process.
The mineralised wireframes were audited by Mr J Dugdale.
Each mineralised wireframe had an assigned strike, dip and plunge.
The majority of data was 1m lengths and length weighting was used
when modelling the deposit.
The number of shapes used to model the deposit was as follows:
A breakdown of pre-Resource volume for each shape was measured.
This was to ensure that modelling did not over dilute shapes due to block
sizes being used.
For each shape a detailed set of weighted statistics was produced. Based
on the statistics, high grade cuts were determined using both the GAP
method and the method of Denham. The GAP method determines the
beginning position of non-linearity of the cumulative probability plot at
the high grade end of the data. The Denham method uses statistical
distribution theory based on the gamma distribution and the co-
efficient of variation.
The selected high grade cut and percentage metal cut (based on drilling
data) is shown below:
Due to the discontinuous nature of the mineralisation, no variograms
were run and as a result, kriging was not carried out.
The mineralised wireframes were modelled using Inverse Distance
Power 2 (ID2) interpolation with the following parameters:

A minimum number of samples of 2 and a maximum number
of samples of 16

The discretisation parameters were 2E x 1N x 1RL

The following search radii was used:

30m along strike, 15m down dip, 2m down hole

Note: for blocks that were not filled, the parameters were
relaxed and the search radii were increased.
Deposit
Number of Shapes
Albatross & Flamingo OP
150
Deposit
Maximum Cut (g/t)
Percentage Metal Cut %
Albatross &
Flamingo OP
50g/t
5% (Only 2 samples cut)

86

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Criteria JORC Code explanation Commentary Commentary
12.
13.
14.
15.
16.
The fundamental block size used was:
Small blocks were used to ensure adequate volume estimation where
shapes were narrow.
To check that the interpolation of the block model honoured the drill
data, visual validation was carried out comparing the interpolated
blocks to the sample composite data.
Volumes within wireframes were determined and these were then
compared with the block estimates of the volumes within those
wireframes on a shape by shape basis to ensure that volumes estimated
were correct.
Classification was carried out using a combination of drill hole density
and geology as the guide as well as the potential mineability as
determined by preliminary pit considerations.
The 2023 open pit resources are reported within the May 2020
optimised conceptual pit shells which had used a A$2,500/oz gold price
and 2020 costs. In 2020 the pit shells were modified to include a
minimum turning circle road at the base with allowance for a 20m
wide road. An overall slope of 40 degrees was used for pit walls
following site visits and discussions with Geotechnical Consultants
(Peter O’Bryan and Associates). The optimised Whittle pit shells
provided a reasonable basis for defining the portion of models that
may have prospects for economic exploitation in the foreseeable
future and could therefore reasonably be declared as Open Pit
Resources. (Optimisation used a metallurgical recovery of
approximately 92% overall. The Resources reported are minimally
diluted and further dilution, predominately in hard rock, would be
required to produce Reserves as well as new optimisation studies
followed by detailed pit design.)
In 2023, the economic viability of the 2020 conceptual pit was examined
using a A$2,800/oz gold price and increasing the May 2020 costs by
32%. The 2023 study confirmed that the conceptual 2020 pits remained
economic using the A$2,800/oz gold price and the 2023 costs and as
such the open pit resources remain unchanged from the reported
Mineral Resource Estimate of 2020.
The resources reported are above a 0.5 g/t Au cut-off grade and include
oxide,transition and fresh material.
Deposit
Small Blocks
Albatross &
Flamingo OP
2.5mE x 1.25mN x 1mRL
Moisture Whether the tonnages
are estimated on a dry
basis or with natural
moisture, and the
method of
determination of the
moisture content.
All results are reported on a dry tonnage basis.
Cut-off
parameters
The basis of the
adopted cut-off
grade(s) or quality
parameters applied.


A 0.5g/t Au cut-off grade is a reasonable mining cut-off grade for open
pit deposits in the Marymia area assuming a 92% recovery and a gold
price of A$2,800.

87

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Criteria JORC Code explanation Commentary
Mining factors or
assumptions
Assumptions made
regarding possible
mining methods,
minimum mining
dimensions and
internal (or, if
applicable, external)
mining dilution. It is
always necessary as
part of the process of
determining
reasonable prospects
for eventual economic
extraction to consider
potential mining
methods, but the
assumptions made
regarding mining
methods and
parameters when
estimating Mineral
Resources may not
always be rigorous.
Where this is the case,
this should be reported
with an explanation of
the basis of the mining
assumptions made
• Open pit mining will be the mining method employed going forward using
a 2.5m-5m bench height following grade control drilling.
Metallurgical
factors or
assumptions
The basis for
assumptions or
predictions regarding
metallurgical
amenability. It is
always necessary as
part of the process of
determining
reasonable prospects
for eventual economic
extraction to consider
potential metallurgical
methods, but the
assumptions regarding
metallurgical
treatment processes
and parameters made
when reporting
Mineral Resources may
not always be rigorous.
Where this is the case,
this should be reported
with an explanation of
the basis of the
metallurgical
assumptions
made.
• Preliminary metallurgical testwork suggested high recoveries would be
achieved (Oxide 93%, Transition 93%, Fresh 90%). These recoveries were
used in financial assessment of the optimisation studies.

88

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Criteria JORC Code explanation Commentary
Environmental
factors or
assumptions
Assumptions made
regarding possible
waste and process
residue disposal
options. It is always
necessary as part of
the process of
determining
reasonable prospects
for eventual economic
extraction to consider
the potential
environmental impacts
of the mining and
processing operation.
While at this stage the
determination of
potential
environmental
impacts, particularly
for a greenfields
project, may not
always be well
advanced, the status of
early consideration of
these potential
environmental impacts
should be reported.
Where these aspects
have not been
considered this should
be reported with an
explanation of the
environmental
assumptions made.
• There are currently no known environmental factors which will affect the
project. To date, there have been no issues in carrying out drilling and
having POW's approved.
Bulk density Whether assumed or
determined. If
assumed, the basis for
the assumptions. If
determined, the
method used, whether
wet or dry, the
frequency of the
measurements, the
nature, size and
representativeness of
the samples.
The bulk density for
bulk material must
have been measured
by methods that
adequately account for
void spaces (vugs,
porosity, etc), moisture
and differences
between rock and
alteration zones within
• The following bulk densities (t/m3) were used:
Oxide:
1.60
Transition:
2.20
Fresh:
2.60
• The bulk densities used were based on actual bulk density measurements
as outlined in Section 2 of the JORC Table.
• The in-situ bulk density assignment was based on previous reported
measurements taken on HG triple tube core and apparent relative
density testing on NQ2 core where available from this deposit and other
deposits in the region with similar host rocks.

89

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Criteria JORC Code explanation Commentary
the deposit.
Discuss assumptions
for bulk density
estimates used in the
evaluation process of
the different
materials.
Classification The basis for the
classification of the
Mineral Resources
into varying
confidence
categories.
Whether appropriate
account has been
taken of all relevant
factors (i.e. relative
confidence in
tonnage/grade
estimations, reliability
of input data,
confidence in
continuity of geology
and metal values,
quality, quantity and
distribution of the
data).
Whether the result
appropriately reflects
the Competent
Person’s view of the
deposit.

All material in Albatross & Flamingo OP has been classified as Inferred
Resource.
• Classification was based on a combination of drill hole spacing and
confidence in geological continuity as well as the likelihood that it would
be mined as a pit.
• In general, drill hole spacing of 20mE x 20mN was used, with some infill
holes, however due to the lack of geological continuity exhibited by the
drilling all material has been classified as Inferred Resource.
• The potential for eventual open pit mining was determined by
application of the following:

An optimised Whittle pit shell produced in 2020 at A$2,500 per ounce
Au.

Pit slopes were based on performance of existing open pits and a
geotechnical review by Peter O’Bryan and Associates.

A turning circle of 20m was used to define a pit base.

The resource within the partially designed pits was undiluted
(however sensitivities to dilution were carried out to ensure
robustness of optimisation).

Only non-diluted resources (inclusive of shape dilution) are
reported in the Mineral Resource Statement.

The 2023 review, using a A$2,800/oz gold price and increasing the
May 2020 costs by 32% confirmed the 2020 conceptual pit
remained economic_._
• The Mineral Resource estimate appropriately reflects the view of the
Competent Person.
Audits or reviews The results of any
audits or reviews of
Mineral Resource
estimates.

There have been no other audits and reviews carried out using the same
data as has been used in this study.
Discussion of
relative accuracy/
confidence
Where appropriate a
statement of the
relative accuracy and
confidence level in the
Mineral Resource
estimate using an
approach or procedure
deemed appropriate by
the Competent Person.
For example, the
application of
statistical or
geostatistical
procedures to quantify
the relative accuracy of
the resource within
stated confidence
limits, or, if such an

The interpretation of the deposit should be considered as preliminary
and it will require further drilling to raise its classification status from
Inferred Resource to Indicated Resource.

90

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Criteria JORC Code explanation Commentary
approach is not
deemed appropriate, a
qualitative discussion
of the factors that
could affect the
relative accuracy and
confidence of the
estimate.
The statement should
specify whether it
relates to global or local
estimates, and, if local,
state the relevant
tonnages, which should
be relevant to technical
and economic
evaluation.
Documentation should
include assumptions
made and the
procedures used.
These statements of
relative accuracy and
confidence of the
estimate should be
compared with
production data,
where available.

91

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Section 3 Estimation and Reporting of Mineral Resources

CINNAMON OPEN PIT (OP)

(Criteria listed in section 1, and where relevant in section 2, also apply to this section.)

Criteria JORC Code explanation Commentary
Database
integrity
Measures taken to
ensure that data has
not been corrupted by,
for example,
transcription or keying
errors, between its
initial collection and its
use for Mineral
Resource estimation
purposes.
Data validation
procedures used.

Industry standard checks were carried out on the database using Surpac
Software by Carras Mining Pty Ltd (CMPL). All modelling was carried out
using Surpac Software by CMPL.

Current work has been plotted and examined in MineMap and Surpac in
detail along with the existing extensive Explorer3 RDBMS database.

Previous data was sourced from the best available databases for each
prospect and supplemented by regional databases.

Structural and geotechnical data was collected from historical hard copy
reports in several instances to enhance the geological and geotechnical
database generated by Vango Mining.

All data has been loaded into the Explorer3 RDBMS and has undergone
validation procedures. These include the review of original data, mostly
from historical reporting (e.g. previous Annual Reports) to ensure the
reliability of the data. Any potential data discrepancies have been
examined and corrected where necessary. Some data within the
existing database has been adjusted based on review with the original
source data including Vango Mining data and data from historical
reporting.
Site visits Comment on any site
visits undertaken by
the Competent Person
and the outcome of
those visits.
If no site visits have
been undertaken
indicate why this is the
case.

Dr Spero Carras of CMPL (Competent Person) has visited the Marymia
area and reviewed projects on the ground. Dr Carras also spent a
significant amount of time working on the Marymia geology and
geophysics in conjunction with Mr Jon Dugdale of DRS (Competent
Person for the Exploration Results).
Geological
interpretation
Confidence in (or
conversely, the
uncertainty of) the
geological
interpretation of the
mineral deposit.
Nature of the data
used and of any
assumptions made.
The effect, if any, of
alternative
interpretations on
Mineral Resource
estimation.
The use of geology in
guiding and controlling
Mineral Resource
estimation.
The factors affecting
continuity both of
grade and geology.
Mr Jon Dugdale of DRS carried out geological interpretations of the
Marymia Projects in the offices of CMPL working together with David
Jenkins and Etienne deGaul of Terrasearch and Dr Spero Carras and Mr
Tony Patriarca of CMPL. As a result, CMPL were involved in all aspects of
the geological interpretation used for the Mineral Resource estimation.

Drilling of the Cinnamon OP deposits includes both RC and structurally
oriented diamond drillcore. Structural orientations and examination of
timing relationships between mineralised structures and related
alteration mineralogy at Cinnamon OP and other deposits such as
Trident, has enabled a structural model to be generated that has
guided the interpretation. Drilling density at Cinnamon OP is generally
<20m x 20m and, although re-distribution of gold mineralization has
occurred in the oxide zone of the deposit, the confidence in the
geological interpretation in terms of grade distribution and volume is
high, with a low to moderate degree of uncertainty regarding
variability of orientation.

The nature of the data used for the geological interpretation is almost
entirely drilling data. At Cinnamon OP a total of 109 holes for 17,358m
of drilling of drilling has been completed, both historically and by
Vango Mining. This includes 13 DD holes for 3,431m and 96 RC holes
for 13,927m. Assay data generated from these drillholes is almost
entirely Fire Assay analyses (see Section 1 for description). Lithological
logginghas been completed for all Vango andprevious drilling.

92

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Criteria JORC Code explanation Commentary
Data/information generated from structural and geotechnical logging
of diamond drillcore has also been utilised.

Alternative interpretations with respect to the shape and orientation
of mineralised zones, where data is limited to RC drilling (no
orientation not known) are unlikely to significantly affect the volume of
mineralisation but may have a low to moderate effect on continuity
and classification (e.g. Indicated vs Inferred).

Geology (structural, lithological and alteration) has been a key factor
guiding the interpretation of the orientation, geometry, size and
continuity of the resource envelopes and constraints/boundaries. The
other key factor has been grade distribution and trends in the assay
data, particularly where mineralisation occurs within a rock mass or
the oxide zone.

Key factors affecting continuity both of grade and geology include, in
order of importance:
-
Structural controls – for example, steeply dipping (D3) fault zones
that bound and are interpreted to have controlled dilation in the
steep to moderately conglomerate host units, and also host
mineralisation. Some post mineralisation movement may have
accentuated the bounding nature of these structures.
-
Gold mineralisation shoot controls in 3 dimensions have been
observed whjch, in the case of Cinnamon OP, constrain high-grade
mineralisation to shallow plunging shoots within the conglomerate
host unit.
-
Redistribution of gold mineralisation due to re-mobilisation of gold
in the oxide zone and supergene enrichment in the transition zone
of the deposit. Due to leaching and re-precipitation, this can
generate a poddy, discontinuous gold distribution in some areas.
Leaching has also depleted the oxide zone of the deposit, down to
60m below surface.
Dimensions The extent and
variability of the
Mineral Resource
expressed as length
(along strike or
otherwise), plan width,
and depth below
surface to the upper
and lower limits of the
Mineral Resource.

The Cinnamon OP deposit has dimensions of 300m strike northeast
- southwest x 400m northwest - southeast and 250m vertically from
surface.

The Cinnamon OP mineralised envelope strikes generally strikes
northeast - southwest and dips steeply the northwest or southeast.
Estimation and
modelling
techniques
The nature and
appropriateness of the
estimation technique(s)
applied and key
assumptions, including
treatment of extreme
grade values,
domaining,
interpolation
parameters and
maximum distance of
extrapolation from
data points. If a
computer assisted
estimation method was
• The following outlines the estimation and modelling technique used for
producing Resources for the Cinnamon OP deposit.
Deposit Information
1. Wireframes were provided by Terra Search for:
a. Topography based on aerial survey information and historical
open pits.
b. Bottom of Oxidation (BOCO)
c.
Top of Fresh Rock (TOFR)
Deposit
Orebody
Dimensions
Nominal Drill
Spacing
Metres of
Mineralised
Drilling
Cinnamon OP
400mE x 300mN x
250mRL
25mE x 25mN
2,520m

93

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Criteria JORC Code explanation Commentary Commentary Commentary Commentary
chosen include a
description of
computer software and
parameters used.
The availability of
check estimates,
previous estimates
and/or mine
production records and
whether the Mineral
Resource estimate
takes appropriate
account of such data.
The assumptions made
regarding recovery of
by-products.
Estimation of
deleterious elements or
other non-grade
variables of economic
significance (e.g.
sulphur for acid mine
drainage
characterisation).
In the case of block
model interpolation,
the block size in
relation to the average
sample spacing and
the search employed.
Any assumptions
behind modelling of
selective mining units.
Any assumptions about
correlation between
variables.
Description of how the
geological
interpretation was
used to control the
resource estimates.
Discussion of basis for
using or not using
grade cutting or
capping.
The process of
validation, the
checking process used,
the comparison of
model data to drill hole
data, and use of
reconciliation data if
available.
2. CMPL carried out a review of the weathering surfaces in conjunction
with Mr J Dugdale and Terra Search Geologists.
3. Based on geology and using intersection selection, mineralised shapes
were wireframed at a 0.5g/t nominal cut-off grade and using
intersection selection to constrain the interpretation. These mineralised
shapes could contain values less than 0.5g/t within the wireframes. The
parameters used for intersection selection were 3m down hole which
equates to an approximate 2-2.5m bench height. The intersections
could include 1m of internal dilution and all intersections included 0.5m
of edge dilution. This edge dilution was added to allow for the non-
visible edge definition which would be experienced in the mining
process.
4. The mineralised wireframes were audited by Mr J Dugdale.
5. Each mineralised wireframe had an assigned strike, dip and plunge.
6. The majority of data was 1m lengths and length weighting was used
when modelling the deposit.
7. The number of shapes used to model the deposit was as follows:
3 groups of shapes contained 65% of the volume.
8. A breakdown of pre-Resource volume for each shape was measured.
This was to ensure that modelling did not over dilute shapes due to block
sizes being used.
9. For each shape a detailed set of weighted statistics was produced. Based
on the statistics, high grade cuts were determined using both the GAP
method and the method of Denham. The GAP method determines the
beginning position of non-linearity of the cumulative probability plot at
the high-grade end of the data. The Denham method uses statistical
distribution theory based on the gamma distribution and the co-
efficient of variation.
The selected high grade cut and percentage metal cut (based on drilling
data)is shown below:
Deposit
Maximum Cut (g/t)
Percentage Metal Cut %
Cinnamon OP
30g/t
2%
10. Normalised variograms were run and directional variograms were
produced for down hole, down dip, down plunge for 3 mineralised
grouped wireframes covering 65% of the total volume of the deposit.
The 3 mineralised grouped wireframes were modelled using Ordinary
Kriging (OK) with the following parameters:
Nugget:
0.6
Ranges:
60m along strike, 40m down dip, 3m down hole
11. The remaining mineralised wireframes were modelled using Inverse
Distance Power 2 (ID2) interpolation.
12. For both OK and ID2the following parameters were also used:

A minimum number of samples of 2 and a maximum number
of samples of 16
Deposit
Number of Shapes
Cinnamon OP
58
CMPL carried out a review of the weathering surfaces in conjunction
with Mr J Dugdale and Terra Search Geologists.
Based on geology and using intersection selection, mineralised shapes
were wireframed at a 0.5g/t nominal cut-off grade and using
intersection selection to constrain the interpretation. These mineralised
shapes could contain values less than 0.5g/t within the wireframes. The
parameters used for intersection selection were 3m down hole which
equates to an approximate 2-2.5m bench height. The intersections
could include 1m of internal dilution and all intersections included 0.5m
of edge dilution. This edge dilution was added to allow for the non-
visible edge definition which would be experienced in the mining
process.
The mineralised wireframes were audited by Mr J Dugdale.
Each mineralised wireframe had an assigned strike, dip and plunge.
The majority of data was 1m lengths and length weighting was used
when modelling the deposit.
The number of shapes used to model the deposit was as follows:
3 groups of shapes contained 65% of the volume.
A breakdown of pre-Resource volume for each shape was measured.
This was to ensure that modelling did not over dilute shapes due to block
sizes being used.
For each shape a detailed set of weighted statistics was produced. Based
on the statistics, high grade cuts were determined using both the GAP
method and the method of Denham. The GAP method determines the
beginning position of non-linearity of the cumulative probability plot at
the high-grade end of the data. The Denham method uses statistical
distribution theory based on the gamma distribution and the co-
efficient of variation.
The selected high grade cut and percentage metal cut (based on drilling
data)is shown below:
Deposit
Number of Shapes
Cinnamon OP
58
Deposit Maximum Cut (g/t) Percentage Metal Cut %
Cinnamon OP 30g/t 2%

94

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Criteria JORC Code explanation Commentary

The discretisation parameters were 2E x 1N x 1RL

The following search radii were used:

30m along strike, 20m down dip, 2m down hole (small
shapes)

60m along strike, 40m down dip, 3m down hole (large
shapes)

Note: for blocks that were not filled, the parameters were
relaxed and the search radii were increased.
13. The fundamental block size used was:
Small blocks were used to ensure adequate volume estimation where
shapes were narrow.
14. To check that the interpolation of the block model honoured the drill
data, visual validation was carried out comparing the interpolated
blocks to the sample composite data.
15. Volumes within wireframes were determined and these were then
compared with the block estimates of the volumes within those
wireframes on a shape by shape basis to ensure that volumes
estimated were correct.
16. Classification was carried out using a combination of drill hole density
and geology as the guide as well as the potential mineability as
determined by preliminary pit considerations.
17. The 2023 open pit resources are reported within the May 2020 optimised
conceptual pit shells which had used a A$2,500/oz gold price and 2020
costs. In 2020 the pit shells were modified to include a minimum
turning circle road at the base with allowance for a 20m wide road. An
overall slope of 40 degrees was used for pit walls following site visits
and discussions with Geotechnical Consultants (Peter O’Bryan and
Associates). The optimised Whittle pit shells provided a reasonable
basis for defining the portion of models that may have prospects for
economic exploitation in the foreseeable future and could therefore
reasonably be declared as Open Pit Resources. (Optimisation used a
metallurgical recovery of approximately 92% overall. The Resources
reported are minimally diluted and further dilution, predominately in
hard rock, would be required to produce Reserves as well as new
optimisation studies followed by detailed pit design.)
In 2023, the economic viability of the 2020 conceptual pit was examined
using a A$2,800/oz gold price and increasing the May 2020 costs by
32%. The 2023 study confirmed that the conceptual 2020 pits remained
economic using the A$2,800/oz gold price and the 2023 costs and as
such the open pit resources remain unchanged from the reported
Mineral Resource Estimate of 2020.
The resources reported are above a 0.5 g/t Au cut-off grade and include
oxide,transition and fresh material.
Deposit
Small Blocks
Cinnamon OP
2.5mE x 1mN x 2.5mRL
Moisture Whether the tonnages
are estimated on a dry
basis or with natural
moisture, and the
method of
determination of the

All results are reported on a dry tonnage basis.

95

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Criteria JORC Code explanation Commentary
moisture content.
Cut-off
parameters
The basis of the
adopted cut-off
grade(s) or quality
parameters applied.
• A 0.5g/t Au cut-off grade is a reasonable mining cut-off grade for open
pit deposits in the Marymia area assuming a 92% recovery and a gold
price of A$2,800.
Mining factors or
assumptions
Assumptions made
regarding possible
mining methods,
minimum mining
dimensions and
internal (or, if
applicable, external)
mining dilution. It is
always necessary as
part of the process of
determining
reasonable prospects
for eventual economic
extraction to consider
potential mining
methods, but the
assumptions made
regarding mining
methods and
parameters when
estimating Mineral
Resources may not
always be rigorous.
Where this is the case,
this should be reported
with an explanation of
the basis of the mining
assumptions made.

Open pit mining will be the mining method employed going forward using
a 2.5m-5m bench height following grade control drilling.
Metallurgical
factors or
assumptions
The basis for
assumptions or
predictions regarding
metallurgical
amenability. It is
always necessary as
part of the process of
determining
reasonable prospects
for eventual economic
extraction to consider
potential metallurgical
methods, but the
assumptions regarding
metallurgical
treatment processes
and parameters made
when reporting
Mineral Resources may
not always be rigorous.
Where this is the case,

Preliminary metallurgical testwork suggested high recoveries would be
achieved (Oxide 93%, Transition 93%, Fresh 90%). These recoveries were
used in financial assessment of the optimisation studies.

96

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Criteria JORC Code explanation Commentary
this should be reported
with an explanation of
the basis of the
metallurgical
assumptions made.
Environmental
factors or
assumptions
Assumptions made
regarding possible
waste and process
residue disposal
options. It is always
necessary as part of
the process of
determining
reasonable prospects
for eventual economic
extraction to consider
the potential
environmental impacts
of the mining and
processing operation.
While at this stage the
determination of
potential
environmental
impacts, particularly
for a greenfields
project, may not
always be well
advanced, the status of
early consideration of
these potential
environmental impacts
should be reported.
Where these aspects
have not been
considered this should
be reported with an
explanation of the
environmental
assumptions made.

There are currently no known environmental factors which will affect the
project. To date, there have been no issues in carrying out drilling and
having POW's approved.
Bulk density Whether assumed or
determined. If
assumed, the basis for
the assumptions. If
determined, the
method used, whether
wet or dry, the
frequency of the
measurements, the
nature, size and
representativeness of
the samples.
The bulk density for
bulk material must
have been measured
by methods that
adequately accountfor
• The following bulk densities (t/m3) were used:
Oxide:
1.80
Transition:
2.30
Fresh:
2.70
• The bulk densities used were based on actual bulk density measurements
as outlined in Section 2 of the JORC Table.
• The in-situ bulk density assignment was based on previous reported
measurements taken on HG triple tube core and apparent relative
density testing on NQ2 core where available from this deposit and other
deposits in the region with similar host rocks.

97

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Criteria JORC Code explanation Commentary
void spaces (vugs,
porosity, etc), moisture
and differences
between rock and
alteration zones within
the deposit.
Discuss assumptions
for bulk density
estimates used in the
evaluation process of
the different materials.
Classification The basis for the
classification of the
Mineral Resources into
varying confidence
categories.
Whether appropriate
account has been
taken of all relevant
factors (i.e. relative
confidence in
tonnage/grade
estimations, reliability
of input data,
confidence in
continuity of geology
and metal values,
quality, quantity and
distribution of the
data).
Whether the result
appropriately reflects
the Competent
Person’s view of the
deposit.
• Mineralised material in Cinnamon OP has been classified as Indicated
Resource in areas where shapes exhibited continuity and as Inferred
Resource elsewhere.
• Classification was based on a combination of drill hole spacing and
confidence in geological continuity as well as the likelihood that it would
be mined as a pit.
• In general, drill hole spacing of 25mE x 25mN was used, with some infill
holes.
• The potential for eventual open pit mining was determined by
application of the following:

An optimised Whittle pit shell produced in 2020 at A$2,500 per ounce
Au.

Pit slopes were based on performance of existing open pits and a
geotechnical review by Peter O’Bryan and Associates.

A turning circle of 20m was used to define a pit base.

The resource within the partially designed pits was undiluted
(however sensitivities to dilution were carried out to ensure
robustness of optimisation).

Only non-diluted resources (inclusive of shape dilution) are
reported in the Mineral Resource Statement.

The 2023 review, using a A$2,800/oz gold price and increasing the
May 2020 costs by 32% confirmed the 2020 conceptual pit
remained economic_._
• The Mineral Resource estimate appropriately reflects the view of the
Competent Person.
Audits or reviews The results of any
audits or reviews of
Mineral Resource
estimates.
• There have been no other audits and reviews carried out using the same
data as has been used in this study.
Discussion of
relative accuracy/
confidence
Where appropriate a
statement of the
relative accuracy and
confidence level in the
Mineral Resource
estimate using an
approach or procedure
deemed appropriate by
the Competent Person.
For example, the
application of
statistical or
geostatistical
procedures to quantify
the relative accuracy of
the resource within
• The interpretation of the deposit is based on historic and more recent
drilling. While the overall interpretation is correct, at a local scale there
will be variations which will require more detailed drilling for increased
confidence in the behaviour of the mineralisation.

98

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Criteria JORC Code explanation Commentary
stated confidence
limits, or, if such an
approach is not
deemed appropriate, a
qualitative discussion
of the factors that
could affect the
relative accuracy and
confidence of the
estimate.
The statement should
specify whether it
relates to global or
local estimates, and, if
local, state the relevant
tonnages, which should
be relevant to technical
and economic
evaluation.
Documentation should
include assumptions
made and the
procedures used.
These statements of
relative accuracy and
confidence of the
estimate should be
compared with
production data, where
available.

99

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Section 3 Estimation and Reporting of Mineral Resources K2 UNDERGROUND (UG)

(Criteria listed in section 1, and where relevant in section 2, also apply to this section.)

Criteria JORC Code explanation Commentary
Database
integrity
Measures taken to
ensure that data has
not been corrupted by,
for example,
transcription or keying
errors, between its
initial collection and its
use for Mineral
Resource estimation
purposes.
Data validation
procedures used.

Industry standard checks were carried out on the database using Surpac
Software by Carras Mining Pty Ltd (CMPL). All modelling was carried out
using Surpac Software by CMPL.

Current work has been plotted and examined in MineMap and Surpac in
detail along with the existing extensive Explorer3 RDBMS database.

Previous data was sourced from the best available databases for each
prospect and supplemented by regional databases.

Structural and geotechnical data was collected from historical hard copy
reports in several instances to enhance the geological and geotechnical
database generated by Vango Mining.

All data has been loaded into the Explorer3 RDBMS and has undergone
validation procedures. These include the review of original data, mostly
from historical reporting (e.g. previous Annual Reports) to ensure the
reliability of the data. Any potential data discrepancies have been
examined and corrected where necessary. Some data within the
existing database has been adjusted based on review with the original
source data including Vango Mining data and data from historical
reporting.
Site visits Comment on any site
visits undertaken by
the Competent Person
and the outcome of
those visits.
If no site visits have
been undertaken
indicate why this is the
case.

Dr Spero Carras of CMPL (Competent Person) has visited the Marymia
area and reviewed projects on the ground. Dr Carras also spent a
significant amount of time working on the Marymia geology and
geophysics in conjunction with Mr Jon Dugdale of DRS (Competent
Person for the Exploration Results).
Geological
interpretation
Confidence in (or
conversely, the
uncertainty of) the
geological
interpretation of the
mineral deposit.
Nature of the data
used and of any
assumptions made.
The effect, if any, of
alternative
interpretations on
Mineral Resource
estimation.
The use of geology in
guiding and controlling
Mineral Resource
estimation.
The factors affecting
continuity both of
grade and geology.
Mr Jon Dugdale of DRS carried out geological interpretations of the
Marymia Projects in the offices of CMPL working together with David
Jenkins and Etienne deGaul of Terrasearch and Dr Spero Carras and Mr
Tony Patriarca of CMPL. As a result, CMPL were involved in all aspects of
the geological interpretation used for the Mineral Resource estimation.

Drilling of the K2 UG deposits includes both RC and structurally
oriented diamond drillcore. Structural orientations and examination of
timing relationships between mineralised structures and related
alteration mineralogy at K2 UG and at other deposits such as Trident,
has enabled a structural model to be generated that has guided the
interpretation. Drilling density at K2 UG is generally <20m x 20m, with
some areas of broader drill spacing such as on West Lode, and the
confidence in the geological interpretation in terms of grade
distribution and volume is high, with a low to moderate degree of
uncertainty regarding variability of orientation.

The nature of the data used for the geological interpretation is almost
entirely drilling data. At K2, including K2 UG, 1,003 holes for 76,428m
of drilling has been completed, both historically and by Vango Mining.
This includes 98 DD holes for 19,893m and 905 RC holes for 56,535m.
Assay data generated from these drillholes is almost entirely Fire Assay
analyses (see Section 1 for description). Lithological logging has been
completed for all Vango and previous drilling. Data/information
generated from structural andgeotechnical loggingof diamond

100

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Criteria JORC Code explanation Commentary
drillcore has also been utilised.

Alternative interpretations with respect to the shape and orientation
of mineralised zones, where data is limited to RC drilling (no
orientation not known) are unlikely to significantly affect the volume of
mineralisation but may have a low to moderate effect on continuity
and classification (e.g. Indicated vs Inferred).

Geology (structural, lithological and alteration) has been a key factor
guiding the interpretation of the orientation, geometry, size and
continuity of the resource envelopes and constraints/boundaries. The
other key factor has been grade distribution and trends in the assay
data, particularly where mineralisation occurs within a rock mass.

Key factors affecting continuity both of grade and geology include, in
order of importance:
-
Structural controls – for example, steeply dipping (D3) fault zones
that bound and are interpreted to have controlled dilation in the
steep to moderately dipping Mafic host units, and also host
mineralisation. Some post mineralisation movement may have
accentuated the bounding nature of these structures.
-
Gold mineralisation shoot controls in 3 dimensions have been
observed whjch, in the case of K2 UG, constrain high-grade
mineralisation to shallow plunging shoots within the mafic host
unit.
-
Only fresh material has been included in the K2 UG Mineral
Resoruce estimate and, as such, redistribution of gold
mineralisation due to re-mobilisation of gold in the oxide zone and
supergene enrichment in the transition zone of the deposit is not a
factor.
Dimensions The extent and
variability of the
Mineral Resource
expressed as length
(along strike or
otherwise), plan width,
and depth below
surface to the upper
and lower limits of the
Mineral Resource.
• The K2 UG deposit has dimensions of 800m strike northeast - southwest
x 300m northwest - southeast and 250m vertically from surface/pit floor.
• The K2 UG mineralised envelope strikes generally strikes northeast -
southwest and dips steeply the northwest or southeast.
Estimation and
modelling
techniques
The nature and
appropriateness of the
estimation technique(s)
applied and key
assumptions, including
treatment of extreme
grade values,
domaining,
interpolation
parameters and
maximum distance of
extrapolation from
data points. If a
computer assisted
estimation method was
chosen include a
description of
computer software and
• The following outlines the estimation and modelling technique used for
producing Resources for the K2 UG deposit.
1. Wireframes were provided by Terra Search for:
a. Topography based on aerial survey information and historical
open pits.
b. Bottom of Oxidation (BOCO)
c.
Top of Fresh Rock (TOFR)
2. CMPL carried out a review of the weathering surfaces in conjunction
with Mr J Dugdale and Terra Search Geologists.
3. Based on geology and using intersection selection, mineralised shapes
were wireframed at a 3g/t nominal cut-off grade and using intersection
selection to constrain the interpretation. These mineralised shapes
Deposit
Orebody
Dimensions
Nominal Drill
Spacing
Metres of
Mineralised
Drilling
K2 UG
300mE x 800mN
x 200mRL
25mE x 25mN
585m

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Criteria JORC Code explanation Commentary Commentary
parameters used.
The availability of
check estimates,
previous estimates
and/or mine
production records and
whether the Mineral
Resource estimate
takes appropriate
account of such data.
The assumptions made
regarding recovery of
by-products.
Estimation of
deleterious elements or
other non-grade
variables of economic
significance (e.g.
sulphur for acid mine
drainage
characterisation).
In the case of block
model interpolation,
the block size in
relation to the average
sample spacing and
the search employed.
Any assumptions
behind modelling of
selective mining units.
Any assumptions about
correlation between
variables.
Description of how the
geological
interpretation was
used to control the
resource estimates.
Discussion of basis for
using or not using
grade cutting or
capping.
The process of
validation, the
checking process used,
the comparison of
model data to drill hole
data, and use of
reconciliation data if
available.
4.
5.
6.
7.
8.
9.
10.
11.
12.
could contain values less than 3g/t within the wireframes. The
parameters used for intersection selection were 3m down hole and
intersections could include 1m of internal dilution. To ensure continuity
of mineralisation intersection grades could be lowered to 2.5g/t (or in
minimal cases < 2.5g/t).
The mineralised wireframes were audited by Mr J Dugdale and 3 Lodes
were interpreted; Main Lode, Central Lode and West Lode.
Each mineralised wireframe had an assigned strike, dip and plunge.
The majority of data was 1m lengths and length weighting was used
when modelling the deposit and in determining the high grade cuts.
The number of shapes used was as follows:
1 shape (Main Lode) contained 50% of the volume.
A breakdown of pre-Resource volume for each shape was measured.
This was to ensure that modelling did not over dilute shapes due to block
sizes being used.
For each shape a detailed set of weighted statistics was produced. Based
on the statistics, high grade cuts were determined using both the GAP
method and the method of Denham. The GAP method determines the
beginning position of non-linearity of the cumulative probability plot.
The Denham method uses statistical distribution theory based on the
gamma distribution and the co-efficient of variation.
The selected high grade cut and percentage metal cut (based on drilling
data) is shown below:
(Historically a 50g/t cut was applied).
Normalised variograms were run and directional variograms were
produced for down hole, down dip, down plunge for 1 mineralised
wireframe (Main Lode) covering 50% of the total volume of the deposit.
The 1 mineralised wireframe (Main Lode) was modelled using Ordinary
Kriging (OK) with the following parameters:
Nugget:
0.6
Ranges:
60m along strike, 30m down dip, 3m down hole
The remaining mineralised wireframes were modelled using Inverse
Distance Power 3 (ID3)
For both OK and ID3the following parameters were also used:

A minimum number of samples of 2 and a maximum number
of samples of 16

The discretisation parameters were 2E x 1N x 1RL

The following search radii were used:

25m along strike, 25m down dip, 2.5m down hole (small
shapes)
Deposit
Number of Shapes
K2 UG
49
Deposit
Maximum Cut (g/t)
Percentage Metal Cut %
K2 UG
60g/t
27% (70% of metal cut
from 4 samples)

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Criteria JORC Code explanation Commentary

30m along strike, 60m down dip, 3m down hole (large
shapes)

Note: for blocks that were not filled, the parameters were
relaxed and the search radii were increased.
13. The fundamental block size used was:
Small blocks were used to ensure adequate volume estimation where
shapes were narrow.
14. To check that the interpolation of the block model honoured the drill
data, visual validation was carried out comparing the interpolated
blocks to the sample composite data.
15. Volumes within wireframes were determined and these were then
compared with the block estimates of the volumes within those
wireframes on a shape by shape basis to ensure that volumes
estimated were correct.
16. Classification was carried out using a combination of drill hole density
and geology as the guide and Indicated Resource was constrained to
Main Lode directly underneath the K2 OP.
Deposit
Small Blocks
K2 UG
1mE x 2.5mN x 1mRL
Moisture Whether the tonnages
are estimated on a dry
basis or with natural
moisture, and the
method of
determination of the
moisture content.
• All results are reported on a dry tonnage basis.
Cut-off
parameters
The basis of the
adopted cut-off
grade(s) or quality
parameters applied.
• Updated underground cost estimates (2023) and using a gold price of
A$2,800/oz indicated that a break even mill feed cut-off grade of 3g/t Au
is likely for underground deposits in the Marymia area.
Mining factors or
assumptions
Assumptions made
regarding possible
mining methods,
minimum mining
dimensions and
internal (or, if
applicable, external)
mining dilution. It is
always necessary as
part of the process of
determining
reasonable prospects
for eventual economic
extraction to consider
potential mining
methods, but the
assumptions made
• Underground mining using long hole open stoping will be the mining
method employed going forward. Historic work carried out by Entech
Mining Consultants support the concept of long hole open stoping and
historic geotechnical work indicates good rock strength with minimal
geotechnical issues in the mining.

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Criteria JORC Code explanation Commentary
regarding mining
methods and
parameters when
estimating Mineral
Resources may not
always be rigorous.
Where this is the case,
this should be reported
with an explanation of
the basis of the mining
assumptions made.
Metallurgical
factors or
assumptions
The basis for
assumptions or
predictions regarding
metallurgical
amenability. It is
always necessary as
part of the process of
determining
reasonable prospects
for eventual economic
extraction to consider
potential metallurgical
methods, but the
assumptions regarding
metallurgical
treatment processes
and parameters made
when reporting
Mineral Resources may
not always be rigorous.
Where this is the case,
this should be reported
with an explanation of
the basis of the
metallurgical
assumptions made.
• Historical metallurgical testwork suggested a high recovery (90%+) would
be achieved.
Environmental
factors or
assumptions
Assumptions made
regarding possible
waste and process
residue disposal
options. It is always
necessary as part of
the process of
determining
reasonable prospects
for eventual economic
extraction to consider
the potential
environmental impacts
of the mining and
processing operation.
While at this stage the
determination of
potential
environmental
• There are currently no known environmental factors which will affect the
project. To date, there have been no issues in carrying out drilling and
having POW's approved.

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Criteria JORC Code explanation Commentary
impacts, particularly
for a greenfields
project, may not
always be well
advanced, the status of
early consideration of
these potential
environmental impacts
should be reported.
Where these aspects
have not been
considered this should
be reported with an
explanation of the
environmental
assumptions made.
Bulk density Whether assumed or
determined. If
assumed, the basis for
the assumptions. If
determined, the
method used, whether
wet or dry, the
frequency of the
measurements, the
nature, size and
representativeness of
the samples.
The bulk density for
bulk material must
have been measured
by methods that
adequately account for
void spaces (vugs,
porosity, etc), moisture
and differences
between rock and
alteration zones within
the deposit.
Discuss assumptions
for bulk density
estimates used in the
evaluation process of
the different materials.
• The following bulk densities (t/m3) were used:
Fresh: 2.90
• The bulk densities used were based on actual bulk density measurements.
• Bulk density data has been collected in the field using a standard Weight
in Air/Dry Weight method systematically through the diamond drilling in
the field. Samples were selected and weighed in air and then submerged
and reweighed using scales with a 0.1g accuracy. The samples were from
fresh non-porous rock and generally returned consistent values. Some
samples were covered in wax to ensure the accuracy of the method and
these proved to be consistent with non-waxed measurements.
Classification The basis for the
classification of the
Mineral Resources into
varying confidence
categories.
Whether appropriate
account has been
taken of all relevant
factors (i.e. relative
confidence in
tonnage/grade
estimations, reliability
• Fresh material directly beneath the K2 OP was classified as Indicated
Resource (Main Lode only). All other material was classified as Inferred
Resource with the exception of wireframes around one intersection
(which was isolated) and wireframes which were extremely deep
(Unclassified Resource).
• Classification was based on a combination of drill hole spacing and
confidence in geological continuity.
• In general drill hole spacing of 25mE x 25mN was used.
• The Mineral Resource estimate appropriately reflects the view of the
Competent Person.

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Criteria JORC Code explanation Commentary
of input data,
confidence in
continuity of geology
and metal values,
quality, quantity and
distribution of the
data).
Whether the result
appropriately reflects
the Competent
Person’s view of the
deposit.
Audits or reviews The results of any
audits or reviews of
Mineral Resource
estimates.
• There have been no other audits and reviews carried out using the same
data as has been used in this study.
Discussion of
relative
accuracy/
confidence
Where appropriate a
statement of the
relative accuracy and
confidence level in the
Mineral Resource
estimate using an
approach or procedure
deemed appropriate by
the Competent Person.
For example, the
application of
statistical or
geostatistical
procedures to quantify
the relative accuracy of
the resource within
stated confidence
limits, or, if such an
approach is not
deemed appropriate, a
qualitative discussion
of the factors that
could affect the
relative accuracy and
confidence of the
estimate.
The statement should
specify whether it
relates to global or
local estimates, and, if
local, state the relevant
tonnages, which should
be relevant to technical
and economic
evaluation.
Documentation should
include assumptions
made and the
procedures used.
These statements of
• The interpretation of the deposit is robust and it is unlikely that a
different interpretation at the global scale could be produced given the
drilling that now defines the ore. There will need to be underground face
sampling and drilling to define small scale fluctuations in the mineralised
Lodes.
• The estimated resource is in-line with historic resources estimated for K2
UG taking into consideration the additional information.
• Oxide and transitional material above the fresh rock has been excluded
from the reported K2 Mineral Resource due to a lack of geotechnical
work required to establish a stable pit cut-back. An interim technical
decision was taken to focus on K2 underground for mining safety reasons,
as proximal historic workings exist. Further optimisation will be carried
out prior to pre-feasibility studies to determine the most economical
outcome for open-pit cut-back versus underground mining options. The
K2 open pit resource will be reported once a recoverable component,
based on safety, geotechnical information and mining, can be
determined.

106

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Criteria JORC Code explanation Commentary
relative accuracy and
confidence of the
estimate should be
compared with
production data, where
available.

107

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Section 3 Estimation and Reporting of Mineral Resources Triple-P and Zone B Underground (UG)

(Criteria listed in section 1, and where relevant in section 2, also apply to this section.)

Criteria JORC Code explanation Commentary
Database
integrity
Measures taken to
ensure that data has
not been corrupted by,
for example,
transcription or keying
errors, between its
initial collection and its
use for Mineral
Resource estimation
purposes.
Data validation
procedures used.

Industry standard checks were carried out on the database using Surpac
Software by Carras Mining Pty Ltd (CMPL). All modelling was carried out
using Surpac Software by CMPL.

Current work has been plotted and examined in MineMap and Surpac in
detail along with the existing extensive Explorer3 RDBMS database.

Previous data was sourced from the best available databases for each
prospect and supplemented by regional databases.

Structural and geotechnical data was collected from historical hard copy
reports in several instances to enhance the geological and geotechnical
database generated by Vango Mining.

All data has been loaded into the Explorer3 RDBMS and has undergone
validation procedures. These include the review of original data, mostly
from historical reporting (e.g. previous Annual Reports) to ensure the
reliability of the data. Any potential data discrepancies have been
examined and corrected where necessary. Some data within the
existing database has been adjusted based on review with the original
source data including Vango Mining data and data from historical
reporting.
Site visits Comment on any site
visits undertaken by
the Competent Person
and the outcome of
those visits.
If no site visits have
been undertaken
indicate why this is the
case.

Dr Spero Carras of CMPL (Competent Person) has visited the Marymia
area and reviewed projects on the ground. Dr Carras also spent a
significant amount of time working on the Marymia geology and
geophysics in conjunction with Mr Jon Dugdale of DRS (Competent
Person for the Exploration Results).
Geological
interpretation
Confidence in (or
conversely, the
uncertainty of) the
geological
interpretation of the
mineral deposit.
Nature of the data
used and of any
assumptions made.
The effect, if any, of
alternative
interpretations on
Mineral Resource
estimation.
The use of geology in
guiding and controlling
Mineral Resource
estimation.
The factors affecting
continuity both of
grade and geology.
Mr Jon Dugdale of DRS carried out geological interpretations of the
Marymia Projects in the offices of CMPL working together with David
Jenkins and Etienne deGaul of Terrasearch and Dr Spero Carras and Mr
Tony Patriarca of CMPL. As a result, CMPL were involved in all aspects of
the geological interpretation used for the Mineral Resource estimation.

Drilling of the Triple-P and Zone B UG deposits includes both RC and
previous diamond drillcore. Structural orientations and examination of
timing relationships between mineralised structures and related
alteration mineralogy at Triple-P and Zone B UG and at other deposits
such as Trident, has enabled a structural model to be generated that
has guided the interpretation. Drilling density at Triple-P and Zone B
UG is generally 20m - 40m x 20m - 40m, and the confidence in the
geological interpretation in terms of grade distribution and volume is
moderate, with a moderate degree of uncertainty regarding variability
of orientation. Thus the entire Mineral Resource estimate for Triple-P
and Zone B UG is categorised Inferred.

The nature of the data used for the geological interpretation is almost
entirely drilling data. At Triple-P and Zone B UG a total of 511 holes for
38,583m of drilling has been completed, both historically and by Vango
Mining. This includes 11 DD holes for 1,321m and 500 RC holes for
37,262m. Assay data generated from these drillholes is almost entirely
Fire Assay analyses (see Section 1 for description). Lithological logging
has been completed for all Vango andprevious drilling.

108

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Criteria JORC Code explanation Commentary
Data/information generated from structural and geotechnical logging
of diamond drillcore has also been utilised.

Alternative interpretations with respect to the shape and orientation
of mineralised zones, where data is limited to RC drilling (no
orientation not known) are unlikely to significantly affect the volume of
mineralisation but may have a low to moderate effect on continuity
and classification (e.g. Indicated vs Inferred).

Geology (structural, lithological and alteration) has been a key factor
guiding the interpretation of the orientation, geometry, size and
continuity of the resource envelopes and constraints/boundaries. The
other key factor has been grade distribution and trends in the assay
data, particularly where mineralisation occurs within a rock mass.

Key factors affecting continuity both of grade and geology include, in
order of importance:
-
Structural controls – for example, steeply dipping (D3) fault zones
that bound and are interpreted to have controlled dilation in the
shallow to moderately dipping mafic and sedimentary host units,
and also host mineralisation. Some post mineralisation movement
may have accentuated the bounding nature of these structures.
-
Gold mineralisation shoot controls in 3 dimensions have been
observed whjch, in the case of Triple-P and Zone B UG, constrain
high-grade mineralisation to shallow plunging shoots within the
mafic and sedimentary host units.
-
Only fresh material has been included in the Triple-P and Zone B
UG Mineral Resource estimate and, as such, redistribution of gold
mineralisation due to re-mobilisation of gold in the oxide zone and
supergene enrichment in the transition zone of the deposit is not a
factor.
Dimensions The extent and
variability of the
Mineral Resource
expressed as length
(along strike or
otherwise), plan width,
and depth below
surface to the upper
and lower limits of the
Mineral Resource.
• The Triple-P and Zone B UG deposits are separate shoots of
mineralisation, offset from each other by a oriented strike-slip fault.
• The Triple-P & Zone-B UG deposit have dimensions of:
-
Triple-P: 140m strike north – south, 100m east – west and 100m
from the base of the Triple-P pit floor.
-
Zone-B: 160m strike north – south, 100m east – west and 150m
from the base of the Zone B pit floor.
• The Triple-P and Zone B UG mineralised envelope strikes generally strikes
north – south and dips shallow to moderatelyto the west.
Estimation and
modelling
techniques
The nature and
appropriateness of the
estimation technique(s)
applied and key
assumptions, including
treatment of extreme
grade values,
domaining,
interpolation
parameters and
maximum distance of
extrapolation from
data points. If a
computer assisted
estimation method was
chosen include a
description of
• The following outlines the estimation and modelling technique used for
producing Resources for the Triple-P & Zone-B UG deposit.
Deposit Information
1. Wireframes were provided by Terra Search for:
a. Topography based on aerial survey information and historical
open pits.
b. Bottom of Oxidation (BOCO)
c.
Top of Fresh Rock (TOFR)
Deposit
Orebody
Dimensions
Nominal
Drill Spacing
Triple-P
100mE x 140mN x
100mRL
20mE x 20mN up to
40mE x 40mE
Zone-B
100mE x 160mN x
100mRL

109

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Criteria JORC Code explanation Commentary Commentary Commentary Commentary
computer software and
parameters used.
The availability of
check estimates,
previous estimates
and/or mine
production records and
whether the Mineral
Resource estimate
takes appropriate
account of such data.
The assumptions made
regarding recovery of
by-products.
Estimation of
deleterious elements or
other non-grade
variables of economic
significance (e.g.
sulphur for acid mine
drainage
characterisation).
In the case of block
model interpolation,
the block size in
relation to the average
sample spacing and
the search employed.
Any assumptions
behind modelling of
selective mining units.
Any assumptions about
correlation between
variables.
Description of how the
geological
interpretation was
used to control the
resource estimates.
Discussion of basis for
using or not using
grade cutting or
capping.
The process of
validation, the
checking process used,
the comparison of
model data to drill hole
data, and use of
reconciliation data if
available.
2.
3.
4.
5.
6.
7.
8.
9.
Only the fresh rock component was considered in the resource
estimation.
CMPL carried out a review of the weathering surfaces in conjunction
with Mr J Dugdale and Terra Search Geologists.
Based on geology and using intersection selection, mineralised shapes
were wireframed at a 3g/t nominal cut-off grade and using intersection
selection to constrain the interpretation. These mineralised shapes
could contain values less than 3g/t within the wireframes. The
parameters used for intersection selection were 3m down hole.
The mineralised wireframes were audited by Mr J Dugdale.
Each mineralised wireframe had an assigned strike, dip and plunge.
The majority of data was 1m lengths and length weighting was used
when modelling the deposit.
The number of shapes used to model the deposit was as follows:
Due to the sparse nature of the data, a visually estimated high grade cut
of 20g/t was applied.
The selected high grade cut and percentage metal cut (based on drilling
data) is shown below:
Deposit
Number of Shapes
Triple-P
10
Zone-B
15
Deposit Maximum Cut (g/t) Percentage Metal Cut%
Triple-P & Zone-B UG 20g/t 5%
The modelling method used was a polygonal estimation method using
extended sections with the average grade of the intersection allocated
to the wireframe.
Classification was carried out using a combination of drill hole density
and geology as the guide resulted in all of the mineralised material being
classified as Inferred Resource. There is the potential for the
mineralisation to increase in size with further drilling to better define
the continuity of the geology and with improved understanding
following the mining of Triple-P OP.
Moisture Whether the tonnages
are estimated on a dry
basis or with natural
moisture, and the
method of
All results are reported on a dry tonnage basis.

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Criteria JORC Code explanation Commentary
determination of the
moisture content.
Cut-off
parameters
The basis of the
adopted cut-off
grade(s) or quality
parameters applied.
• Updated underground cost estimates (2023) and using a gold price of
A$2,800/oz indicated that a break even mill feed cut-off grade of 3g/t Au
is likely for underground deposits in the Marymia area.
Mining factors or
assumptions
Assumptions made
regarding possible
mining methods,
minimum mining
dimensions and
internal (or, if
applicable, external)
mining dilution. It is
always necessary as
part of the process of
determining
reasonable prospects
for eventual economic
extraction to consider
potential mining
methods, but the
assumptions made
regarding mining
methods and
parameters when
estimating Mineral
Resources may not
always be rigorous.
Where this is the case,
this should be reported
with an explanation of
the basis of the mining
assumptions made.
• At present there is no definitive proposed mining method. Following
more detailed drilling (which will raise the classification of the
mineralised resource to Indicated) the best method of extraction will be
selected.
Metallurgical
factors or
assumptions
The basis for
assumptions or
predictions regarding
metallurgical
amenability. It is
always necessary as
part of the process of
determining
reasonable prospects
for eventual economic
extraction to consider
potential metallurgical
methods, but the
assumptions regarding
metallurgical
treatment processes
and parameters made
when reporting
Mineral Resources may
not always be rigorous.
Where this is the case,
this should be reported
• Preliminary metallurgical testwork suggested high leach recoveries
would be achieved, (Fresh 75% to 97%, average 86%). Test-work
indicates the fresh recovery can be upgraded to 90% using a combination
of flotation concentrate of sulphide occluded gold, finer grinding and lead
nitrate addition prior to leaching.

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Criteria JORC Code explanation Commentary
with an explanation of
the basis of the
metallurgical
assumptions made.
Environmental
factors or
assumptions
Assumptions made
regarding possible
waste and process
residue disposal
options. It is always
necessary as part of
the process of
determining
reasonable prospects
for eventual economic
extraction to consider
the potential
environmental impacts
of the mining and
processing operation.
While at this stage the
determination of
potential
environmental
impacts, particularly
for a greenfields
project, may not
always be well
advanced, the status of
early consideration of
these potential
environmental impacts
should be reported.
Where these aspects
have not been
considered this should
be reported with an
explanation of the
environmental
assumptions made.
• There are currently no known environmental factors which will affect the
project. To date, there have been no issues in carrying out drilling and
having POW's approved.
Bulk density Whether assumed or
determined. If
assumed, the basis for
the assumptions. If
determined, the
method used, whether
wet or dry, the
frequency of the
measurements, the
nature, size and
representativeness of
the samples.
The bulk density for
bulk material must
have been measured
by methods that
adequately accountfor
• The following bulk densities (t/m3) were used:
Fresh: 2.80
• The bulk densities used were based on actual bulk density measurements
as outlined in Section 2 of the JORC Table.
• The in-situ bulk density assignment was based on previous reported
measurements taken on HG triple tube core and apparent relative
density testing on NQ2 core where available from this deposit and other
deposits in the region with similar host rocks.

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Criteria JORC Code explanation Commentary
void spaces (vugs,
porosity, etc), moisture
and differences
between rock and
alteration zones within
the deposit.
Discuss assumptions
for bulk density
estimates used in the
evaluation process of
the different materials.
Classification The basis for the
classification of the
Mineral Resources into
varying confidence
categories.
Whether appropriate
account has been
taken of all relevant
factors (i.e. relative
confidence in
tonnage/grade
estimations, reliability
of input data,
confidence in
continuity of geology
and metal values,
quality, quantity and
distribution of the
data).
Whether the result
appropriately reflects
the Competent
Person’s view of the
deposit.
• Mineralised material in Triple-P & Zone-B UG has been classified as
Inferred Resource due to the lack of continuity exhibited by the currently
available drilling.
• The Mineral Resource estimate appropriately reflects the view of the
Competent Person.
Audits or reviews The results of any
audits or reviews of
Mineral Resource
estimates.
• There have been no other audits and reviews carried out using the same
data as has been used in this study.
Discussion of
relative
accuracy/
confidence
Where appropriate a
statement of the
relative accuracy and
confidence level in the
Mineral Resource
estimate using an
approach or procedure
deemed appropriate by
the Competent Person.
For example, the
application of
statistical or
geostatistical
procedures to quantify
the relative accuracy of
the resource within
stated confidence
• The interpretation of the deposit should be considered preliminary and
as a result the mineralisation has been classified as Inferred Resource. It
is anticipated that further deep drilling will better define the
underground potential of this area.

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Criteria JORC Code explanation Commentary
limits, or, if such an
approach is not
deemed appropriate, a
qualitative discussion
of the factors that
could affect the
relative accuracy and
confidence of the
estimate.
The statement should
specify whether it
relates to global or
local estimates, and, if
local, state the relevant
tonnages, which should
be relevant to technical
and economic
evaluation.
Documentation should
include assumptions
made and the
procedures used.
These statements of
relative accuracy and
confidence of the
estimate should be
compared with
production data, where
available.

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Section 3 Estimation and Reporting of Mineral Resources Trident Underground (UG)[1] - unchanged from 18 April 2019 release

(Criteria listed in section 1, and where relevant in section 2, also apply to this section.)

Criteria JORC Code explanation Commentary
Database
integrity
Measures taken to
ensure that data has
not been corrupted by,
for example,
transcription or keying
errors, between its
initial collection and its
use for Mineral
Resource estimation
purposes.
Data validation
procedures used.
• All data has been plotted and examined in MineMap and Surpac in
detail along with the existing extensive database.
• Any potential discrepancies have been examined and corrected where
necessary.
• All data has been loaded into the Explorer3 RDBMS and has undergone
validation procedures.
• Some data within the existing database has been adjusted based on
review with the original source data from historical reporting.
• Previous data was sourced from databases previously reviewed by
Runge in 2010.
• Structural and geotechnical data was collected from hard copy reports
in several instances to enhance the geological and geotechnical
database.
Site visits Comment on any site
visits undertaken by
the Competent Person
and the outcome of
those visits.
If no site visits have
been undertaken
indicate why this is the
case.
• Dr Carras carried out 2 independent site visits to the Trident resource
area where he reviewed diamond drilling information. Dr Carras was
also involved extensively with the geological interpretation and
domaining of the Trident resource area.
Geological
interpretation
Confidence in (or
conversely, the
uncertainty of) the
geological
interpretation of the
mineral deposit.
Nature of the data
used and of any
assumptions made.
The effect, if any, of
alternative
interpretations on
Mineral Resource
estimation.
The use of geology in
guiding and controlling
Mineral Resource
estimation.
The factors affecting
continuity both of
_grade andgeology. _
• Vango drilled 33 Diamond holes and 27 RC holes within the Trident
higher-grade area.
• This data in addition to the previous database of over 600 holes has
allowed detailed geological interpretation of the system.
• Detailed Geological logging was completed on the diamond drillholes
and used to interpret previous logging.
• RQD and magnetic susceptibility data was also used to define structures
and geological units in conjunction with the geological logging.
• Structural logging from this program and previous diamond logging was
used to inform the geological model.
• Biotite alteration was a common companion to gold mineralisation and
shows a strong correlation.
• There is high confidence in the geological model which shows two
distinct zones a shallow north west dipping structure of 2- 10m
thickness parallel to thrusting, and a steep, wider folded zone adjacent
to steep controlling faults within the deposit.
• Cross-faulting does appear to displace the mineralisation causing some
breaks in continuity. The location of these structures is of moderate
confidence.
Dimensions The extent and
variability of the
Mineral Resource
expressed as length
(along strike or
otherwise), plan width,
and depth below
surface to the upper
and lower limits of the
• The resource extents of this estimate are approximately 1,000m from
19,050mE to 20,100mE and 300m vertical extent.

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Criteria JORC Code explanation Commentary Commentary Commentary Commentary
Mineral Resource.
Estimation and
modelling
techniques
The nature and
appropriateness of the
estimation technique(s)
applied and key
assumptions, including
treatment of extreme
grade values,
domaining,
interpolation
parameters and
maximum distance of
extrapolation from
data points. If a
computer assisted
estimation method was
chosen include a
description of
computer software and
parameters used.
The availability of
check estimates,
previous estimates
and/or mine
production records and
whether the Mineral
Resource estimate
takes appropriate
account of such data.
The assumptions made
regarding recovery of
by-products.
Estimation of
deleterious elements or
other non-grade
variables of economic
significance (e.g.
sulphur for acid mine
drainage
characterisation).
In the case of block
model interpolation,
the block size in
relation to the average
sample spacing and
the search employed.
Any assumptions
behind modelling of
selective mining units.
Any assumptions about
correlation between
variables.
Description of how the
geological
interpretation was
used to control the
• The following outlines the estimation and modelling technique used for
producing resources for the Trident deposit. Surpac Software was used
in the estimation process.
1. Wireframes were provided by Terrasearch and Discover Resource
Services Ltd for:
a.
Topography based on drill collar data
b. Bottom of Oxidation (BOCO)
c.
Top of Fresh Rock (TOFR)
2. Carras Mining Pty Ltd ("CMPL") carried out a review of the
weathering surfaces in conjunction with Terrasearch and Discover
Resource Services Ltd geologists.
3. Based on geology and using intersection selection, domainal shapes
were wireframed at a 3.0g/t nominal cut-off grade. These domainal
shapes could contain values less than 3.0g/t within the wireframes.
The parameters used for intersection selection were 3m down hole
which equates to an approximate 2-2.5m minimum stope height. The
intersections could include up to 3m of internal dilution and all
intersections were undiluted.
4. The wireframed shapes were audited by Terrasearch and Discover
Resource Services Ltd geological staff.
5. The deposit has a north north westerly strike and an east north east
dip.
6. The majority of data was of 1m lengths and weighted lengths were
used when modelling the deposit.
7.
The number of shapes used was as follows:
8. A breakdown of pre-Resource volume for each shape was measured.
This was to ensure that modelling did not over dilute the shapes due
to the block sizes being used.
9. The Resource shapes were broken into domains based on drilling
density, grade and geology. (See accompanying image.) For each
domain a detailed set of weighted statistics was produced. Based on
statistics, high grade cuts were determined using the method of
Denham. The Denham method uses statistical distribution theory
based on the gamma distribution and the co-efficient of variation (this
is consistent with the often-used GAP method.)
The selected high-grade cut and percentage metal cut for each
Deposit
Orebody Dimensions
Nominal
Drill
Spacing
Metres of
Mineralised
Drilling
Trident
1,100mE x 500mN x
300mRL
20m x 20m
Approx.
1,400m
Deposit
Number of Shapes
Trident
28
Deposit Orebody Dimensions Nominal
Drill
Spacing
Metres of
Mineralised
Drilling
Trident 1,100mE x 500mN x
300mRL
20m x 20m Approx.
1,400m
1.
2.
3.
4.
5.
6.
7.
8.
9.

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JORC Code explanation Commentary

Criteria JORC Code explanation JORC Code explanation Commentary Commentary
resource estimates.
Discussion of basis for
using or not using
grade cutting or
capping.
The process of
validation, the
checking process used,
the comparison of
model data to drill hole
data, and use of
reconciliation data if
available.
domain is shown below:
Approximately 70% of the tonnes are within the Domain 1 and
definite waste zones have been removed. The high-grade domain
boundaries were used as soft boundaries when estimating. Note that
even with a 140g/t cut, 8% of the metal is still cut from Domain 1.
10. Major search orientations were assigned for each shape based on
variography.
11. The following fill method was used in modelling:
Domain 1:

Ordinary Kriging

Nugget = 0.55

Sill = 1

Range = 30

Search = 70
All other Domains (excluding Domain1):

Inverse Distance Power 3 (ID3)
12. The following parameters were used for all Domains in modelling:

A minimum number of samples of 2 and a maximum number
of samples of 16

The discretisation parameters were 2 x 2 x 1

Search parameters were based on domain orientation and
variography

Note: for blocks that did not meet these requirements, the
search parameters were relaxed and the search radii were
increased.
Domain
Comment
High Grade Cut
(g/t)
Metal Cut
(%)
Domain 1
Main Flat Dipping
Domain
(High Grade Area)
140
8
Domain 1
Main Flat Dipping
Domain
(Not in High Grade
Area)
55
4
Domain 2
Main Vertical Domain
(High Grade Area)
120
3
Domain 2
Main Vertical Domain
(Not in High Grade
Area)
70
4
Domain 3
Eastern Domain
50
0
Domain 4
Horizontal Domain
Near Transition
Boundary
20
0
Domain 5
Flat Dipping Domains
Close to Domain 1
30
0
Domain 6
Flat Dipping Domain
Under Proposed
Portal
15
0
Domain 7
All Other Shapes
30
0

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Criteria JORC Code explanation Commentary Commentary
13.




14.
15.
The fundamental block size used was:
Small blocks were used to ensure adequate volume estimation where
Domainal shapes were narrow. (The assumption was that all blocks
would be mined in the mining process i.e. there would not be an
application of an internal cut-off grade.)
To check that the interpolation of the block model honoured the
drill data, validation was carried out comparing the interpolated
blocks to the sample composite data.
Volumes within wireframes were determined and these were then
compared with the block estimates of the volumes within those
wireframes on a shape by shape basis to ensure that the volumes
estimated were correct.
Deposit
Small Blocks
Trident
0.5mN x 5mE x 1mRL
Moisture Whether the tonnages
are estimated on a dry
basis or with natural
moisture, and the
method of
determination of the
moisture content.
• Tonnages and grades were estimated on a dry in-situ basis. No
moisture values were reviewed.
Cut-off
parameters
The basis of the
adopted cut-off
grade(s) or quality
parameters applied.
• Updated underground cost estimates (2023) and using a gold
price of A$2,800/oz indicated that a break even mill feed cut-
off grade of 3g/t Au is likely for underground deposits in the
Marymia area.
Mining factors or
assumptions
Assumptions made
regarding possible
mining methods,
minimum mining
dimensions and
internal (or, if
applicable, external)
mining dilution. It is
always necessary as
part of the process of
determining
reasonable prospects
for eventual economic
extraction to consider
potential mining
methods, but the
assumptions made
regarding mining
methods and
parameters when
estimating Mineral
Resources may not
always be rigorous.
Where this is the case,
this should be reported
• The mining method will be a mix of moderately sized long hole open
stopes with engineered paste fill and some conventional drift and
engineered fill in the flatter areas. Cable bolting of the ultramafic
hanging wall is anticipated. It is expected that dilutions of up to 30%
may be experienced. Dilution has not been applied in the Resource
modelling process. Geotechnical studies are currently underway to
determine the dilution parameters that will be used in conversion to
reserves.
• It is intended to maximise the use of remote control, tele-operated and
automated, mining equipment when implementing the underground
mining method.

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Criteria JORC Code explanation Commentary
with an explanation of
the basis of the mining
assumptions made.
Metallurgical
factors or
assumptions
The basis for
assumptions or
predictions regarding
metallurgical
amenability. It is
always necessary as
part of the process of
determining
reasonable prospects
for eventual economic
extraction to consider
potential metallurgical
methods, but the
assumptions regarding
metallurgical
treatment processes
and parameters made
when reporting
Mineral Resources may
not always be rigorous.
Where this is the case,
this should be reported
with an explanation of
the basis of the
metallurgical
assumptions made.
• Metallurgical testwork was conducted by ALS in Perth on a
representative, >50kg composite sample generated from diamond drill-
core that forms part of the Trident Mineral Resource. The calculated
head grade is in line with the Indicated Resource at 9.1 g/t gold (Au).
Metallurgical results included cyanide leach gold extraction at a grind
size of 106µm of over 89% after 24 hours to 90% after 48 hours. The
new test-work also produced a relatively low Bond, Ball-mill, Work
Index of 13, indicating potential for relatively low milling costs.
Environmental
factors or
assumptions
Assumptions made
regarding possible
waste and process
residue disposal
options. It is always
necessary as part of
the process of
determining
reasonable prospects
for eventual economic
extraction to consider
the potential
environmental impacts
of the mining and
processing operation.
While at this stage the
determination of
potential
environmental
impacts, particularly
for a greenfields
project, may not
always be well
advanced, the status of
early consideration of
these potential
environmental impacts
• The Trident deposit contains the fibrous asbestiform mineral actinolite
and as a result the mining, treatment of ore and disposal of waste will
need to comply with the handling of fibrous minerals rules and
regulations. Fibrous minerals have been associated with previous
mining of the Marwest pit at Marymia and mining and milling processes
were put in place to ensure appropriate Occupational Health and Safety
requirements. At Trident there will be a need for adequate ventilation,
wash down areas, the containment of crushed materials and the
covering of waste and tailings.

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Criteria JORC Code explanation Commentary
should be reported.
Where these aspects
have not been
considered this should
be reported with an
explanation of the
environmental
assumptions made.
Bulk density Whether assumed or
determined. If
assumed, the basis for
the assumptions. If
determined, the
method used, whether
wet or dry, the
frequency of the
measurements, the
nature, size and
representativeness of
the samples.
The bulk density for
bulk material must
have been measured
by methods that
adequately account for
void spaces (vugs,
porosity, etc), moisture
and differences
between rock and
alteration zones within
the deposit.
Discuss assumptions
for bulk density
estimates used in the
evaluation process of
the different materials.
• Bulk density was measured on 140 diamond drillhole samples using a
wet/dry weight measurement to determine the density. Some
measurements were completed using wax to ensure no bias due to
water ingress and these values showed the non-wax measurements to
be accurate.
• The bulk density measurements confirmed the use of 2.90 t/m3as being
appropriate for all mineralisation.
Classification The basis for the
classification of the
Mineral Resources into
varying confidence
categories.
Whether appropriate
account has been
taken of all relevant
factors (i.e. relative
confidence in
tonnage/grade
estimations, reliability
of input data,
confidence in
continuity of geology
and metal values,
quality, quantity and
distribution of the
data).
Whether the result
• Mineral Resources were classified in accordance with the Australasian
Code for the Reporting of Identified Mineral Resources and Ore
Reserves (JORC, 2012).
• The Indicated portion of the resource was confined to areas defined
where the drill spacing was approximately 20m by 20m and continuity
in both grade and geological structure was demonstrated.
• The Inferred Resource included areas of the resource where sampling
was greater than 20m by 20m or was represented by isolated,
discontinuous zones of mineralisation to a maximum of 40m.
• In general, classification was carried out using a combination of drill
hole spacing and geology as the guide.
• Several areas were placed in the unclassified category due to
inadequate drilling.
• The result appropriately reflects the Competent Person's view of the
Trident deposit.

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Criteria JORC Code explanation Commentary
appropriately reflects
the Competent
Person’s view of the
deposit.
Audits or reviews The results of any
audits or reviews of
Mineral Resource
estimates.
• Internal review of interpretation and methodology have been
completed by contractors who verified the technical inputs, geological
methodology and parameters of the estimate.
• The Resource has notyet been independentlyreviewed.
Discussion of
relative
accuracy/
confidence
Where appropriate a
statement of the
relative accuracy and
confidence level in the
Mineral Resource
estimate using an
approach or procedure
deemed appropriate by
the Competent Person.
For example, the
application of
statistical or
geostatistical
procedures to quantify
the relative accuracy of
the resource within
stated confidence
limits, or, if such an
approach is not
deemed appropriate, a
qualitative discussion
of the factors that
could affect the
relative accuracy and
confidence of the
estimate.
The statement should
specify whether it
relates to global or
local estimates, and, if
local, state the relevant
tonnages, which should
be relevant to technical
and economic
evaluation.
Documentation should
include assumptions
made and the
procedures used.
These statements of
relative accuracy and
confidence of the
estimate should be
compared with
production data, where
available.
• The Trident deposit has a very high-grade core which is within a
dilational zone with an ultramafic schist host. The use of the very high-
grade cut is appropriate for such a zone and this zone has been
domained to constrain the high-grade values.
• The results produced are global and in general, domaining to determine
the high cuts and removal of a significant amount of metal has
restricted the smoothing of high-grade values into lower grade
domains, even though soft boundaries have been used.
• Definite waste zones have also been eliminated from the estimates.
• There is no production data available.

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Appendix 1

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----- Start of picture text -----

Catalyst Metals
Marymia Gold Project
Catalyst Metals
Marymia Gold Project
Catalyst Metals
Neds Creek JV
----- End of picture text -----

Figure 1: Marymia Gold Project, key corridors and Mineral Resource projects

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----- Start of picture text -----

Catalyst Metals Tenements
Catalyst Metals Tenements Yowereena Farm-in Lodestar Tenements
Neds Creek JV Catalyst Metals
Marymia Gold Project
Catalyst Metals
Yowereena Farm-in Catalyst Metals
Catalyst Metals Neds Creek JV
Catalyst Metals
Marymia Gold Project
----- End of picture text -----

Figure 2: Location of Marymia Gold Project in the Yilgarn block of Western Australia

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----- Start of picture text -----

Catalyst Metals
Marymia Gold Project
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Figure 3: Marymia Gold Project, Trident Corridor with Mineral Resource projects

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Figure 4: Trident West Mineral Resource cross section 19200mE[1]

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Figure 5: Marwest – Mars Mineral Resource cross section 20810mE[2]

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Figure 6: Mareast Mineral Resource cross section 22700mE[3]

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----- Start of picture text -----

Catalyst Metals
Marymia Gold Project
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Figure 7: Marymia Gold Project, Triple-P Corridor with Mineral Resource projects

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Figure 8: Triple-P and Zone-B Mineral Resource cross section 1920mN[4]

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Figure 9: Albatross-Flamingo cross section 7900mN with optimised pit and N-S Resource blocks[5]

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Catalyst Metals
Marymia Gold Project
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Figure 10: Marymia Gold Project, PHB Corridor with Mineral Resource projects

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Figure 11: K2 West Lode, Central Lode and Main Lode cross section 16,425mN[7]

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Figure 12: Longitudinal Projection through K2 Main Lode, PHB-1 optimised pit & Resource model 6

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Figure 13: PHB-1 West Lode, Central Lode and Main Lode cross section 16,875mN[7]

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Figure 14: K1 Mineral Resource cross section 18,780mN

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----- Start of picture text -----

Catalyst Metals
Marymia Gold
Project
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Figure 15: Marymia Gold Project, Cinnamon Corridor with Mineral Resource projects

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Figure 16: Cinnamon cross section 26,375mN[8]

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1 VAN ASX 22/01/19 New High-Grade Gold Intersections from Trident West 2 VAN ASX 19/11/19 New Shallow High-Grade Gold Intersections at Mars 3 VAN ASX 23/05/19 High-Grade Gold Intersections Extend Corridor (Mareast) 4 VAN ASX 05/08/19 New Very High-Grade Zone Discovered at Marymia Project (Triple-P) 5 VAN ASX 21/01/20 Exceptional High-Grade Gold Intercepts (Albatross-Flamingo) 6 VAN ASX 23/03/20 High-Grade Drilling Success at Marymia Gold Project (K2/PHB-1) 7 VAN ASX 03/03/20 Exceptional Intersections from New lode Discovery at Marymia (PHB-1)

8 VAN ASX 13/09/18 Broad and High-Grade Gold Intersections at Cinnamon

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