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MANUKA RESOURCES LTD. Regulatory Filings 2021

Mar 31, 2021

65340_rns_2021-03-31_e05c6e70-db8b-40f3-a905-c4f19777fcf0.pdf

Regulatory Filings

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ASX Announcement 1 April 2021 ASX: MKR Market Sensitive

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43% Increase in Measured & Indicated Resources at Wonawinta Silver Project

Highlights

  • Measured and Indicated Resources increased 43% following completion of 14,000m in-fill RC drilling program

  • Measured and Indicated Resources now account for 39% of total JORC Resources versus 28% previously

  • The classification upgrade paves the way for the completion of the Wonawinta Mine Plan and release of Manuka’s maiden Wonawinta JORC reserve Q2 2021

  • Manuka is set to become Australia’s largest primary silver producer commencing in Q3 2021 using existing stockpiles presently on the ROM pad

  • Following processing of existing stockpiles, silver production from mining the Belah and Bimble pits to commence February 2022

  • Further in-fill drilling of specific oxide targets within the Inferred Resource and Exploration Targets, will occur over the next six months.

Manuka Resources Ltd - ASX:MKR (‘Manuka’ or ‘the Company’), the 100% owner of Wonawinta Silver Project and Mt Boppy Gold Project (‘the Projects’) is pleased to announce the following Resource Update and upgrade for the Wonawinta Silver Project (“the Property”). This update follows an extensive 14,000 metre in-fill drilling program.

Mineral Resource Estimate Update

JORC categorised Mineral Resources for the Wonawinta Project have been classified as measured, indicated and inferred confidence categories on a spatial, areal and zone basis and are listed in Table 1 below. The total resource is 38.3 million tonnes at 41.3 g/t Ag and 0.54% Pb providing 50.94 million ounces of silver and 207.2 thousand tonnes of lead.

Resource
Category
Material
(Mt)
Ag (g/t) Ag Moz Pb (%) Pb kt
Measured 1.1 47.3 1.65 0.69 7.5
Indicated 12.3 45.5 18.04 0.83 102.8
Inferred 24.9 39 31.25 0.39 96.9
Total 38.3 41.3 50.94 0.54 207.2
Stockpile 0.515 70 1.16

Table 1: Resource Categories of the Wonawinta Project (> 20g/t Ag)

Note : Reported differences may be present due to rounding of significant figures.

1

“The information in this report that relates to Mineral Resources is based on information compiled by Mr Ian Taylor, who is a Certified Professional by The Australasian Institute of Mining and Metallurgy and is employed by Mining Associates Pty Ltd. Mr Taylor has sufficient experience which is relevant to the style of mineralisation and type of deposit under consideration and to the activity which he is undertaking to qualify as a Competent Person as defined in the 2012 Edition of the ‘Australasian Code for Reporting of Exploration Results, Mineral Resources and Ore Reserves’. Mr Taylor consents to the inclusion in the report of the matters based on his information in the form and context in which it appears”.

Dennis Karp, Executive Chairman commented: “This significant upgrade to Measured and Indicated JORC categories of 43% is an important outcome for the Company. The drilling program was designed not to grow ounces but to improve confidence in the previous, largely Inferred JORC Resource. It is pleasing to note that in this conversion process the silver grade and contained ounces have not changed materially but our confidence in the Wonawinta silver Resource is now even stronger and we can proceed through Mine Planning and Reserve estimation with greater certainty on projected outcomes. We expect to release the Mine Plan and our maiden Reserve at Wonawinta in the coming quarter and transform Manuka into Australia’s largest primary silver producer shortly thereafter.”

Locality

The Property is in the central part of New South Wales at latitude 32.2° South and longitude 145.75° East (Figure 1). The nearest population centres include Cobar, approximately 85 km north and Nymagee, approximately 55 km east.

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Figure 1. Property location.

Project Location

The Wonawinta silver project area lies mostly on the gently-dipping western limb of the Wonawinta Anticline comprising Devonian-aged sedimentary rocks. The older (Silurian) Thule granite is exposed in the core of the anticline, which developed due to reverse movement on the Wonawinta Fault.

2

Figure 2 shows outcrop geology from NSW Geological Survey 1:100 000 scale mapping overlain with major structures and the location of the Manuka silver deposits (Manuka and Boundary pits). Outcrop in the Project area is variable. Sandstones and siltstones of the upper part of the Winduck Group and lower Mulga Downs Group form hills and ridges, whereas lower Winduck Group calcareous sediments are generally recessive and covered by a thin veneer of transported sediments.

==> picture [460 x 402] intentionally omitted <==

Figure 2. Local geology in vicinity of Manuka silver deposits.

Deposit Type

Silver-lead-zinc mineralisation at Wonawinta has been interpreted as an oxidised (supergeneenriched) Mississippi-Valley Type (MVT) deposit. The overall regional geological setting, host rocks and geometry of mineralisation fit this model. There is evidence in fresh samples for low-temperature marcasite and colloform cavity-fill textures in sphalerite typical of MVT mineralisation. Sulphur isotope values indicate a basinal brine sulphur source, with some syndiagenetic sedimentary pyrite.

High silver grades and the presence of significant amounts of mercury, arsenic and antimony are however, unusual for an MVT deposit. This geochemical association is more like Irishstyle carbonate hosted mineralisation.

Most MVT deposits occur in carbonate shelf deposits on the margins of sedimentary basins. MVT mineral districts are commonly large, with individual deposits having a median size and grade of 7 Mt at 1.6% Pb, 6% Zn and 32.5 g/t Ag (Leach, Taylor, Fey, Diehl, & Saltus, 2010).

3

Deposits were formed by migration of warm saline aqueous solutions, similar to oilfield brines, through aquifers within carbonates near the basin periphery.

Mineralisation

The main zone of Ag-Pb-Zn mineralisation in the Property occurs along a 6 km strike length that is parallel to the Wonawinta Anticline hinge. Primary mineralisation is stratabound within the Booth Limestone Member. Most mineralisation occurs on the western limb of the Wonawinta Anticline close to the fold hinge, but to the north it also occurs on the eastern limb.

Two main mineralisation styles are developed in the Property: secondary oxide mineralisation and primary sulphide mineralisation (Figure 3).

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Figure 3. Typical cross section through mineralisation, 6431560 mN

Drilling Techniques

The company commenced infill drilling within the inferred oxide resource at Wonawinta in August 2020, with the aim of upgrading the JORC category to Indicated. The oxide infill drilling program comprises 380 RC drill holes for 14,042m focussing on the Bimble and Belah areas (the Northern Pits). Oxide drilling to date has also covered the proposed pit extensions/stepouts at the Northern Pits, and the Pothole and Tweens areas (previous poorly-defined target areas between the Manuka and Boundary pits).

The Wonawinta Deeps sulphides proof of concept drilling program is ongoing, with 18 holes of the 20-hole program completed and the company waiting on independent assays.

Samples from all the RC drill holes were geologically logged while drilling was underway. Subsampling during drilling was routinely undertaken using a rig-mounted splitter that produced a 1-3kg sample that was representative of any given interval, for independent assay analysis.

All drilled RC samples were scanned with a portable XRF analyser (pXRF). The pXRF showed that it could reliably indicate the presence of silver. Comparison of the initial returned batches of assays to the pXRF readings from those samples showed a close and positive correlation. This allowed the company to subsequently despatch only those samples that the pXRF determined were mineralised.

At least one duplicate sample was routinely collected from each RC hole (more than one from holes deeper than 30 metres). The duplicate samples were despatched and assayed with the

4

regular sequence of samples and the resultant assays compared to their primary samples as a QAQC test of the assay procedure.

A “reference standard” sample was routinely inserted throughout the program as every 25[th] sample. The standard samples were despatched within the regular sequence of samples and the variability of their assays compared to other samples of the same standard as a QAQC test of the assay procedure.

The company initially used proprietary certified standards that remained on site from previous operators but determined that these small standards were not being put through the routine sample preparation process (crush and pulverise) prior to assay. Once the initial assays were returned and found to be reliable, inhouse standards were produced (in consultation with Ian Taylor) that comprised homogenised material from numerous mineralised intervals. The inhouse standards were then prepared as 3kg samples inserted into the sampling process and compared for variability as previously. The inhouse standards WWA2 and WWA3 proved to have excellent homogeneity and assay repeatability, with a very small standard deviation.

All samples were sent to an external laboratory (ALS in Orange) for preparation and analysis. Samples were dried, crushed and pulverised to get 85% passing a 75um sieve to provide a 0.5g sample for aqua regia digestion with an ICP-AES finish. Each sample was analysed for a multiple element suite. Where a silver assay was over 100ppm or lead and zinc were over 1%, those sample pulps was re-assayed and reported in a separate “Ore Grade” column.

Mineral Resource Estimate Approach

Mineralisation has been interpreted using deterministic modelling techniques of hanging wall and footwall contacts from sectional interpretations. Initial considerations focused on geological contacts of weathered clays, reduced clays (hydrothermal alteration), limestone contacts (top and bottom) and basement (consisting of arkose and granite). Specific wireframes of each contact were created along with the base of oxidation.

Global statistics encompassing RC and diamond core drill data were considered to determine a natural break in the distribution of silver and lead grades to be used in defining a mineralised domain. The dominant statistical break for determining mineralisation was 10 g/t silver. To determine the extent of mineralisation between footwall and hanging wall, lead and zinc could individually be above 1%. Lead mineralisation rarely extended higher or lower in the oxide profile than zinc or silver and these zones outside 10 g/t Ag were excluded. Zinc does not have complete assay coverage in the data supplied.

Footwall and hanging wall mineralisation contacts were extracted from the drill hole database and gridded surfaces were created using inverse distance squared (ID[2] ) interpolation. Original data points were added back into the surfaces, ensuring they were “snapped” to the drill holes. Weathering profiles were used to assign oxidation state, and both lithology and oxidation state were used to assign bulk density.

Lithological contacts were extracted from the drill hole database and gridded in Mapinfo using minimum curvature interpolation with raw data added back in. Points were imported and the surfaces were wireframed in Surpac 7.4.1.

All drilling excluding blast holes, RAB and Air core holes were used to inform the lithological contacts and only RC (including RC grade control) and DD were used to inform the estimate.

5

Measured Measured Indicated Inferred
Deposit Tonnes
(kt)
Ag
(g/t)
Pb
(%)
koz
kt
Tonnes
(kt)
Ag
(g/t)
Pb
(%)
Moz
kt
Tonnes
(kt)
Ag
(g/t)
Pb
(%)
Moz
kt
Blue
Mountain
OX
Fr
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
999
8,101
28.1
0.4
34
0.3
0.9
3.9
8.9
26.7
Belah Ox
Fr
-
-
-
-
-
-
-
-
-
-
1,778
299
51.4
1.2
38.1
0.6
2.9
21.5
0.4
1.8
534
482
50
1
39.1
0.8
0.9
5.1
0.6
3.8
Bimble Ox
Fr
-
-
-
-
-
-
-
-
-
-
3,180
956
44.6
1
46.1
0.6
4.6
33.1
1.4
5.9
497
1,032
39.6
1
46.9
0.7
0.6
5.1
1.6
6.7
Boundary Ox
Fr
314
253
52.5
0.9
37.7
0.45
0.5
2.8
0.3
1.1
1,560
1,272
50
0.8
37.7
0.4
2.5
12
1.5
5.1
2,242
4,014
48.4
0.6
40.7
0.4
3.5
12.6
5.2
16.5
Tween Ox
Fr
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
1,675
2,427
35.6
0
42.6
0
1.9
-
3.3
-
Manuka Ox
Fr
144
376
59.4
1.02
44.9
0.56
0.3
1.5
0.5
2.1
1,418
1,348
42.4
0.9
49.2
0.6
1.9
12.1
2.1
8.6
777
1,918
33
0.6
44.5
0.6
0.8
4.6
2.7
10.9
Pothole Ox - -
-
-
-
504 39.3
0.5
0.6
2.7
190 41
0.5
0.3
0.9
FR - -
-
-
-
- -
-
-
-
- -
-
-
-
SubTotal Ox 458 54.6
0.9
0.8
4.3
8,440 46.4
1
12.6
81.3
6,914 39.9
0.5
8.9
32.2
SubTotal Fr 629 42
0.5
0.8
3.2
3,875 43.8
0.6
5.5
21.4
17,974 38.7
0.4
22.3
64.6
Total 1,087 47.3
0.7
1.7
7.5
12,315 45.6
0.8
18
102.8
24,888 39
0.4
31.2
96.8

Table 2. Wonawinta Resource by Prospect (>20g/t Ag)

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Figure 1. Wonawinta Project Resource Boundaries

6

All resources have been stated above a 20g/t Ag cut-off, the cut-off grade is based on past mining costs.

Resource classification is based on data quality, drill density, number of informing samples, kriging efficiency, conditional bias slope, average distance to informing samples and deposit consistency (geological continuity. Resources have been classified according to the JORC 2012 code as Measured, Indicated and Inferred. Areas of tight grade control style drill patterns where grade and geological continuity are confirmed are classified as measured. Areas of sufficient drilling to assume geological and grade continuity are classified as Indicated. In areas broadly drilled and sampled where geological and grade continuity can only be inferred are classified as Inferred resources. It is expected that most of the Inferred Mineral Resources would upgrade to Indicated Mineral Resources with continued exploration. However, due to the uncertainty of Inferred Mineral Resources, it should not be assumed that such upgrading will always occur. Distal portions of the model with sparce drilling indicating mineralisation exists, but too sparce to assume geological continuity remain as exploration potential.

Comparison with Previous Estimates

The previous block model is shown in Table 3 reported above 20 g/t Ag. The updated or current resource is shown in Table 4 reported above a 20g/t Ag cut off. The updated model slightly reduces the total tonnes and marginally increases the grade of both silver and lead, resulting in a reduction of contained silver ounces and an increase in the contained lead tonnes. However, the updated or current Resource sees some 43% more tonnes reclassified into the measured and indicated classifications. The additional reclassified tonnages will be available and assessed for the future Reserve update, planned for Q2, 2021.

Resource
Category
Material
(Mt)
Ag (g/t) Ag Moz Pb (%) Pb kt
Measured
Indicated
Inferred
Total
0.9 45 1.3 0.7 6.2
8.5 48.5 13.2 0.79 67.5
29.4 40 37.9 0.55 162.9
38.8 42 52.4 0.61 236.6

Table 3. 2016 Resource Estimate reported at >20g/t Ag

Resource
Category
Material
(Mt)
Ag (g/t) Ag Moz Pb (%) Pb kt
Measured 1.1 47.3 1.65 0.69 7.5
Indicated 12.3 45.5 18.04 0.83 102.8
Inferred 24.9 39 31.25 0.39 96.9
Total 38.3 41.3 50.94 0.54 207.2

Table 4. 2021 Resource Estimate reported >20g/t Ag

7

About Manuka

Manuka Resources Limited (ASX: MKR) is an Australian mining company located in the Cobar Basin, central west New South Wales. It is the 100% owner of two fully permitted gold and silver projects which include the following:

Mt Boppy Gold mine and neighbouring tenements hosting an existing open pit Measured and Indicated Resource of 351,430 tonnes grading 4.62 g/t gold, based on a cut-off grade of 1.6 g/t for material within its current open pit design and a cut-off grade of 3.0 g/t for material below the current pit design, and an inferred resource of 11,000 tonnes grading 6.7 g/t below the designed pit reported at a 3.0 g/t cut off, The Mt Boppy project is currently in production and processing its gold ore through the Company’s processing plant at Wonawinta.

Wonawinta silver project, with mine, processing plant and neighbouring tenements, hosting 51 million ounces of silver in an inferred JORC compliant silver resource grading 42 g/t silver at a cut-off grade of 20 g/t silver. The Wonawinta processing plant has a nameplate capacity of 850,000 tonnes per year.

The Wonawinta silver project was previously the largest producer of primary silver in Australia. Manuka intends to resume the production of silver doré in Q3 2021, following the completion of mining at Mt Boppy.

This announcement has been approved for release by the Board of Directors of Manuka Resources Limited.

For further information contact: Dennis Karp Executive Chairman Manuka Resources Limited 0412 268 114

Media Contact Ben Henri M+C Partners 0473 246 040

Important Information

This report includes forward-looking statements and comments about future events, including the Company’s expectations about the performance of its businesses. Forward-looking words such as “expect”, “should”, “could”, “may”, “predict”, “plan”, “will”, “believe”, “forecast”, “estimate”, “target” or other similar expressions are intended to identify forward-looking statements. Such statements involve known and unknown risks, uncertainties, assumptions and other important factors, many of which are beyond the control of the Company and which may cause actual results, performance or achievements to differ materially from those expressed or implied by such statements. Forward-looking statements are provided as a general guide only, and should not be relied on as an indication or guarantee of future performance. Given these uncertainties, recipients are cautioned to not place undue reliance on any forward-looking statement. Subject to any continuing obligations under applicable law, the Company disclaims any obligation or undertaking to disseminate any updates or revisions to any forward-looking statements in this report to reflect any change in expectations in relation to any forward-looking statements or any change in events, conditions or circumstances on which any such statement is based. No Limited Party or any other person makes any representation or gives any assurance or guarantee that the occurrence of the events expressed or implied in any forward-looking statements in the report will occur.

8

Previously reported information

This report includes information that relates to Mineral Resources and Ore Reserves which were prepared and first disclosed under JORC Code 2012. The information was extracted from the Company’s previous ASX announcement dated 10 July 2020 (Prospectus) and updated in its ASX release on 2 February 2021. The Company confirms that it is not aware of any new information or data that materially affects the information included in the original market announcement and, in the case of reporting of Ore Reserves and Mineral Resources, that all material assumptions and technical parameters underpinning the estimates in the relevant market announcement continue to apply and have not materially changed. The Company confirms that the form and context in which any Competent Person’s findings are presented have not been materially modified from the original market announcement.

Competent Person Statement

Information in this announcement that relates to Exploration Results and Resource Updates is based on, and fairly represents, information and supporting documentation prepared by Mr Ian Taylor, a Competent Person who is a Member of the Australian Institute of Geoscientists. Mr Taylor has sufficient experience which is relevant to the style of mineralisation and type of deposit under consideration and to the activity which he is undertaking to qualify as a Competent Person (or “CP”) as defined in the 2012 Edition of the Australasian Code for Reporting of Information in this announcement that relates to Exploration Results. Mr Taylor consents to the inclusion in this announcement of all technical statements based on his information in the form and context in which they appear.

9

APPENDIX 1: JORC CODE, 2012 EDITION – TABLE 1

SECTION 1. Sampling Techniques and Data

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.

Reverse circulation (RC), diamond coring (core) and
aircore (AC) drilling undertaken by Cobar Consolidated
Resources Limited (CCR) was used to obtain over 76% of
the samples and Manuka Resources Ltd (MKR) have
obtained 15% of the samples used in the current resource
estimate.

Grade control RC drilling by Black Oak Minerals (BOK) in
2015 is also included. The remaining samples were
sourced from diamond and RC undertaken by previous
explorers Geopeko, CBH, Savage, Pasminco and Triako.
The drilling database within the resource area comprises
2163 RC and 13 pre-collared core holes and 49 diamond
core holes. Also, in the database (not used in the resource
estimate) are 920 rotary air blast holes, 148 Air Core holes
and 10,472 blast holes.

RC and AC samples were predominantly collected over
one metre intervals and subsampled utilising a rig-
mounted cyclone/ cone splitter to provide a 1.5kg to 3.0kg
assay sample. Diamond core (NQ, HQ) was halved with a
diamond saw, PQ core was ¼ cored. In highly weathered
material a hammer and chisel were used to provide
representative sub-samples. Aircore samples were sub-
sampled every metre using a two-tier riffle splitter. MRK
drill core was photographed in the splits before placement
into core trays.

Measures taken to ensure the sample representivity
included routine monitoring of sample recovery and RC
field duplicates. Assay quality control measures included
duplicates, blanks and certified reference standards. In
addition, the laboratories undertook their own duplicate
sampling as part of their own internal QA processes. The
available QAQC data demonstrate that the sampling and
assaying are of appropriate quality for use in the current
estimates.

MKR used portable XRF readings to determine intervals to
be sent for analysis, blank holes in the database showed
no silver in the pXRF readings.
Drilling
techniques

Drill type (eg core, reverse circulation, open-
hole hammer, rotary air blast, auger, Bangka,
sonic, etc) and details (eg 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).

All RC drilling used face sampling bits.

Core holes were drilled PQ triple tube (83mm core
diameter), HQ (63mm core diameter) triple tube was
trailed. The diamond holes were surveyed using a multi-
shot camera and core orientations undertaken using an
Ace orientation tool. The core was photographed in detail,
and the core remaining after sampling was used in its
entirety for metallurgical test work.
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.

RC drilling was closely monitored by field geologists and
used face-sampling bits, and generally had sufficient air
capacity to provide dry, high recovery samples. The RC
drilling rigs usually had access to booster compressors.

For RC holes visual estimates were made of recovery and
wetness. It is estimated that less than 2% of samples were
damp or wet.

Diamond drilling core recovery was estimated from
recovered core lengths and showed an average recovery
of 89% within mineralised sections.

The available sample recovery data shows generally
reasonable recoveries and no relationship between
recovery and assay grade, and no indication of significant
biases due to sample loss.
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

All RC and AC samples were logged for lithology, texture,
grainsize, colour, alteration, regolith and wetness. In
addition core holes were geotechnically logged and had
density determinations undertaken. Logging of holes
drilled by explorers prior to MKR was undertaken ina

10

Criteria JORC Code explanation Commentary
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.
similar manner. MKR and CCR routinely photographed all
diamond core and RC chip trays.

All the resource drilling has been qualitatively logged with
appropriate detail, to support the current Mineral Resource
estimates, and metallurgical and mining studies.
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 representivity of
samples.

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.

RC hole logs were reviewed and the samples scanned
with a field portable XRF analyser prior to the selection of
mineralised or potentially mineralised intervals for
laboratory analysis. Remaining samples were stored
pending receipt of analytical results. The sampled
intervals were extended if required.

Sub-sampling of RC holes was undertaken using a rig-
mounted rotary or riffle splitter to provide a 1-3kg lab
sample. Less than two percent of the samples were damp
or wet.

Harder sections of PQ core were filleted (CCR) or ¼ cored
(MKR) with a diamond saw. Clay sections of core were
sampled with a hammer or chisel, or by filleting with an
angle grinder. In all cases the sampled portion
represented about 20% of the core or 2kg per linear
metre.

All samples were sent to an external laboratory (mostly
ALS Global - Orange) for preparation and analysis.
Samples were dried, crushed and pulverised to get 85%
passing a 75um sieve to provide a 0.5g sample for aqua
regia digestion with an ICP-AES finish.

RC field duplicates undertaken on a 1:40 basis showed
acceptable variation and repeatability.

Samples sizes are appropriate to the grain size of the
silver mineralisation which is predominantly very fine.
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.

Nature of quality control procedures adopted
(eg standards, blanks, duplicates, external
laboratory checks) and whether acceptable
levels of accuracy (ie lack of bias) and
precision have been established.

Samples from RC and diamond drilling were sent to ALS
laboratories for preparation and analyses. No information
from geophysical methods or hand held XRF devices are
used in resource estimations, except to confirm holes are
barren, as opposed to assays pending.

Aqua-regia analyses are considered to be a total
extraction given the style of mineralisation. MKR’s BOKs
and CCR’s samples were analysed by ALS Global, an
accredited commercial laboratory in Orange, NSW. After
oven drying, (and jaw crushing of core samples and RC
samples with coarse material), the samples were
pulverised to at least 85% passing 75 microns. Sub-
samples were digested by aqua regia and analysed by
ICP for silver, lead, zinc, iron, sulphur, manganese,
calcium and magnesium. When results were above upper
detection limits the analyses were repeated using a multi-
acid digestion and ICP. Quality control methods included
field duplicates, coarse blanks and certified standards.
Three control samples were inserted for every 20 to 30
samples. The laboratories also maintain their own process
of QA/QC utilising standards, repeats and duplicates.

QAQC procedures and results for MRK’s drilling are
available and were reviewed by MA.

QAQC procedures and results for pre-CCR and BOK
drilling are not available, although QAQC samples are
present in the assay databases. The pre-CCR/BOK drilling
only informs a small proportion of the resources.

The quality control measures have established that the
assaying is of appropriate precision and accuracy for the
current estimates.
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

Reported significant intersections were reviewed by
geological staff onsite, and checked by senior geological
management, including the Exploration/Geology Manager

Six diamond holes and two RC holes were drilled to twin
earlier RC and aircore holes, with satisfactory results.

Geological logging data and sampling information is

11

Criteria JORC Code explanation Commentary
(physical and electronic) protocols.
Discuss any adjustment to assay data.
recorded on printed standard forms and then key punched
into Excel spreadsheets.

Summaries of geological logs, survey and analysis data
were electronically merged and validated into a central
database in Surpac mining software. Data was viewed
and interpreted using Surpac software.

Assay results were not modified for resource estimation.

All pXRF readings over 10ppm are verified by certified
assay analysis.
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 estimation.

Specification of the grid system used.
Quality and adequacy of topographic control.

Qualified surveyors using high accuracy DGPS equipment
surveyed all CCR resource drill hole collars. Accessible
drillhole collars of previous explorers were re-surveyed by
DGPS.

Down-hole surveys were normally not undertaken on
shallow (usually less than 50m) vertical holes drilled early
in the exploration stage. Check bottom-of-hole surveys of
10 vertical RC holes showed less than 1o deflection from
vertical (less than 1m horizontal offset). Downhole
surveying using a Camteq multi-shot camera was carried
out for holes drilled at close spacings (10m x 10m or 20m
x 20m) to be potentially used for mine grade control
purposes. MKR’s diamond drill holes are routinely
surveyed down-hole using a single shot camera. There
are no strongly magnetic rocks within the deposit.

The MGA94 co-ordinate system is used for the mine grid,
and for exploration (Zone 55 South).

Topographic control for the mine is based on an aerial
topographic survey (0.5-1.0m contour interval) together
with known land survey control. This provides sufficient
accuracy for the current estimates.
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.
Whether sample compositing has been
applied.

RC hole spacing varies from a 10m x 10m grade control
density in areas shortly to be mined, to 40m x 20m and
80m x 40m in the vicinity of pit areas, to 250m x 150m at
the southern extremity of the resource zone.

The data spacing and distribution establishes geological
and grade continuity adequately for the current Mineral
Resource.

No compositing of sample intervals in the field was
undertaken. Samples were composited to 2 metre down-
hole intervals for resource modelling.
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 resource drilling comprises mostly vertical holes,
perpendicular or at a high angle to the flat-lying and gently
dipping mineralisation.

Available information indicates that the drilling orientations
provide unbiased sampling of the mineralisation

The MKR diamond holes and the majority of RC are
vertical, several RC drill fences were angled -60 SE to
test the granite contact at the Bimble deposit.
Sample security The measures taken to ensure sample security.
Samples were placed in sealed polywoven bags for
transport by road to the ALS Global Laboratory in Orange,
by a commercial transportation company.

The laboratory routinely reconciles received sample
numbers against sample submission forms and sample
number data files.
Audits or
reviews
The results of any audits or reviews of sampling
techniques and data.

All QA/QC data is reviewed on an ongoing basis.

In 2008 AMC Consultants reviewed CCR’s QAQC data
and the available information from previous explorers, and
concluded that the data is acceptable for resource
estimation.

In 2010 BM Geological Services reviewed the data and
concluded that the data quality was acceptable for use in
resource estimation, and that the QAQC was adequate.

The data was again reviewed in 2014 by MPR Geological
Consultants and found the field duplicate, standard, blank
and repeat assays confirm the reliability of sub-sampling

12

Criteria JORC Code explanation Commentary
and assaying.

MA reviewed the MKR QAQC data and concluded it is
suitable for use in a Resource Estimate

13

SECTION 2. Reporting of Exploration Results

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.

ML1659 is held by Manuka Resources Limited (MKR)
MKR is holder of 7 exploration licences in the district.
The exploration Licences are EL 6155, EL 6302,
EL6623, EL 6482, EL 7515, EL 8498 and EL 7345.

The property Manuka, on which the resources are
situated, is owned by MRL.

The resources occur in the Western Lands Leases of
NSW where Native Title has been extinguished.
However, where disturbance could occur by mining
operations or drilling, Aboriginal heritage surveys are
undertaken in consultation with traditional owners.

The Company notes that no land within the licence area
may be classified as sensitive land. No further approvals
other than those required under the Mining Act 1992 are
required.
Exploration
done by other
parties

Acknowledgment and appraisal of exploration by
other parties.

Stream sediment sampling by Geopeko in 1989 resulted
in the discovery of significant base metal sample values.
Drilling programs (RAB, RC and diamond) were carried
out by Geopeko, CRA, Savage Resources, Pasminco
and Triako. Follow up work by CCR resulted in definition
of the Wonawinta silver - lead deposits. BOK completed
some RC grade control drilling in one open pit.
Geology
Deposit type, geological setting and style of
mineralisation.

The Wonawinta silver-lead-zinc project, is a carbonate-
hosted Pb-Zn-Ag deposit with affinities to MVT-style
mineralisation. The primary host is the dolomitised upper
fossiliferous portion of the Booth Limestone member of
the Early Devonian Winduck Group.

Oxide Ag-Pb-Zn mineralisation is developed as a gently-
dipping blanket up to 160m wide and averaging 13m
thick on and around the contact between the Booth
Limestone and an overlying thick quartz-kaolinite-illite-
muscovite clay sequence. Discrete silver minerals are
rare with the bulk of the silver associated with lead and
iron oxides and sulphates, and lead and zinc carbonates
and dolomite. Primary mineralisation consists of vein,
breccia and replacement style marcasite, galena and
sphalerite.

The NNW-trending, strata-bound Wonawinta deposit
extends for about 6km along the western flank of the
Wonawinta Anticline.
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.

Drillhole data and results are too numerous to list. No
new exploration results are included in this
announcement.

Summary drillhole information was prepared and first
disclosed under the JORC Code 2004. It is not being
reported in detail according to the JORC Code 2012 on
the basis that the information has not materially changed
since it was originally reported.

Drilling by MKR has been publicly disclosed under the
JORC Code 2012 on an ongoing basis as appropriate.
Data
aggregation
methods

In reporting Exploration Results, weighting
averaging techniques, maximum and/or
minimum grade truncations (eg cutting of high
grades) and cut-off grades are usually Material
and should be stated.

Where aggregate intercepts incorporate short
lengths of high grade results and longer lengths

No new exploration results are included in this
announcement.

14

Criteria JORC Code explanation Commentary
of low grade results, the procedure used for
such aggregation should be stated and some
typical examples of such aggregations should be
shown in detail.

The assumptions used for any reporting of metal
equivalent values should be clearly stated.
Relationship
between
mineralisation
widths and
intercept
lengths

These relationships are particularly important in
the reporting of Exploration Results.

If the geometry of the mineralisation with respect
to the drill hole angle is known, its nature should
be reported.

If it is not known and only the down hole lengths
are reported, there should be a clear statement
to this effect (eg ‘down hole length, true width
not known’).

The resource drilling is dominated by steep to vertical
holes drilled perpendicular or at a high angle to gently
dipping mineralisation
Diagrams
Appropriate maps and sections (with scales) and
tabulations of intercepts should be included for
any significant discovery being reported These
should include, but not be limited to a plan view
of drill hole collar locations and appropriate
sectional views.

Appropriate diagrams in relation to the deposit, including
plans and cross sections, accompany previous public
announcements.
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
avoiding misleading reporting of Exploration
Results.

It is not practical to list individual drill holes and
intersections due to the high number of drill holes
concerned. No new exploration results are included in
this report.
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; potential deleterious or
contaminating substances.

No exploration data has been collected or is considered
material to this announcement.
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.

MKR intend to develop further infill drilling and resource
extension drilling budget as a result of this update to the
Mineral Resource Estimate

Manuka Resources has commenced an initial 16 hole
program as proof of concept for base metal sulphides
hosted within the Booth Limestone. This program will be
reported on in due course.

15

SECTION 3. Estimation and Reporting of Mineral Resources

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

Resources were estimated from drill hole data in a MS Access
format database linked to Geovia Surpac. Consistency
checking between and within these files showed no significant
inconsistencies.

Historic data were supplied as CSV files exported from a
Micromine database. Supplied data is assumed validated and
checked for data corruption, based on historic resource
estimation reports that detail validation checks. Random
checks of assay values in database against original assay
certificates did not find any inconsistencies. All data was
imported into an Access database linked to Surpac mining
software and checked for errors in collar locations, down hole
depths and intervals.
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.

The competent person has visited the site on three occasions
in March 2016, August 2020 and in December 2020 for one to
two days to examine the geological setting of the deposit,
observe drilling activities including sampling logging and the
core storage facility.
Geological
inter-pretation

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

Geological setting and mineralisation controls of the deposit
have been confidently established from drill hole logging and
geological mapping, including development of a robust three-
dimensional model of the major rock units.

Geological and mineralisation interpretation was carried out on
approximately 10 m spaced sections in the pit areas and 25 m
spaced sections away from the pit areas, oriented with the
main drilling direction.

Resources were estimated within a mineralised domain
wireframe capturing the zone of continuous mineralisation
grading more than approximately 10 g/t silver. Intercepts of
lesser grade were sometimes included to aid continuity.

The domains are flat lying and comprise a main, generally
north-south trending zone, and two smaller subsidiary zones.
The main zone was subdivided into seven mineralised
domains on the basis of the tenor of silver grades, data
spacing and mineralisation orientation.

Drill hole logging and sampling, surface mapping and grade
control including blast hole sampling were all used to help
build the geological and mineralisation models to a high
degree of confidence. The mineralised domain displayed very
good continuity between sections.

Lithological wire-frames interpreted from drill hole logging were
used to assign densities to the estimates.

Due to the confidence in understanding of mineralisation
controls and the robustness of the geological model,
investigation of alternative interpretations is unnecessary.
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 main mineralised zone extends over approximately 6.5 km
of strike with an average width of approximately 380 m.

Thickness of the mineralised domains averages around 13 m
with an average of around 36 m of barren overburden.
Estimated resources extend to around 100 m depth.

16

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 (eg 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.

Silver resources were estimated by Ordinary Kriging within
unfolded model space that preserved the stratiform nature of
mineralisation. Lead, calcium, iron and sulphur grades were
estimated by Ordinary Kriging.

Continuity of silver grades was characterised by variograms
modelled for the main mineralised domains.

Silver, lead and zinc Lead estimates for each domain included
upper cuts of between 2.5 and 5% which generally
approximate the 98.5th percentile of each dataset.

Mineralised domains boundaries were generally extrapolated
around 20 m across strike and up to 100 m along strike from
drill holes.

Some areas of mineralisation are broadly sampled with up to
approximately 240 m between drill traverses. In these areas,
the estimates are extrapolated to around 120 m from drilling
(1/2 the drill spacing).

The mineralised domains used for resource estimation are
consistent with geological interpretation of mineralisation
controls.

Geovia Surpac software was used for data compilation,
domain wire-framing, coding of composite values, and
resource estimation.

The estimation techniques are appropriate for the
mineralisation style.

Available information suggests that the blast hole samples
poorly represent grade and were not used in to estimate grade
of the Mineral Resource. (they were used to help define the
extents of mineralisation)

With allowance for these deficiencies in the production data,
the current estimates reconcile reasonably with production.

Estimated resources include only silver and lead grades, with
no assumptions about recovery of by-products.

The resource model includes estimates of sulphur, iron and
calcium grades within the mineralised domains.

Resources were estimated into varying block sizes depending
on drill spacing: 10 x 10 x 2.5 m where RC grade control
exists; 40 x 40 x 10 where only wide-spaced exploration drill
lines exist, and 20 x 20 x 5 in all other areas.

Estimation of silver, lead, zinc, iron, and sulphur occurred in
un-fold space, composite locations and blocks were unfolded
using the midpoint of the mineralised domain as a reference
surface. Calcium grades were estimated without-unfolding.

The estimation included a four pass search strategy with a
limitation on the maximum number of samples per drill hole.
Major axis search distances ranged from 50 m to 75 m, with a
semi-major ratio between 1 and 2.2 and a minor ratio between
1 and 3.8.

The modelling did not include any specific assumptions about
correlation between variables.

Wire-framed interpretations of key rock units were used to
assign densities to the estimates.

Model validation included visual comparison of model
estimates and composite grades, and trend (swath) plots,
along with comparison with production estimates.

Available information suggests that mined grade control ore
outlines have included significant misclassification and
comparison between production and model estimates are not
definitive.
Moisture
Whether the tonnages are estimated on a
dry basis or with natural moisture, and the
method of determination of the moisture
content

Tonnages were estimated on a dry basis

17

Cut-off
parameters

The basis of the adopted cut-off grade(s)
or quality parameters applied.

A cut-off grade was applied according to actual mining and
processing methods and their associated costs, recoveries,
state royalties and silver price (AU$30/oz in this case). A cut-
off grade of 20 g/t was used for any material that could
potentially be mined by open pit methods.
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.

No mining factors have been applied to the in-situ grade
estimates for mining dilution or loss as a result of the grade
control or mining process. No metallurgical factors have been
applied to the in situ grade estimates

Open Pit Mining is a considered a likely scenario for extracting
the mineral resources.
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

Actual silver recoveries based on plant performance since July
2011.
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

No specific issues beyond normal requirements for open pit
mining in NSW
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.

Densities were applied to the estimates by rock type. Densities
of 2.0, 2.0, 2.4 and 2.6 t/bcm were applied to oxide clay,
sulphide clay, oxide limestone and sulphide limestone
respectively.

These values were derived from 153 immersion density
measurements of oven dried drill core from six diamond holes

MKR have obtained 31 calliper measurements of oven dried
drill core from 13 diamond holes over Bimble and Belah.
Reading ranged from 1.69 to 2.74, oxidised and reduced clay
samples average 1.96 and fresh samples averaged 2.44

18

Classification
The basis for the classification of the
Mineral Resources into varying
confidence categories.

Whether appropriate account has been
taken of all relevant factors (ie 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.

Resource classification is based on data quality, drill density,
number of informing samples, kriging efficiency, conditional
bias slope, average distance to informing samples and deposit
consistency (geological continuity).

Measured resources adopt the following guidelines. Blocks are
dominantly estimated with a minimum of 12 composites, the
nearest drill hole within 20m and the average distance to all
informing samples approximately 30m or less. Krige
efficiencies for measured mineral resources are dominantly
higher than 0.5. The conditional bias slope recorded is greater
than 0.8. Measured Mineral Resource are estimated in the first
kriging run.

Indicated resources are defined as those portions of the
deposit estimated with a drill spacing of 40 m x 40 m that
demonstrate a reasonable level of confidence in the geological
continuity of the mineralisation. The following estimation
statistics were used as a guideline to assist defining grade
continuity. Indicated blocks have been estimated with a
minimum of 6 samples, and within 40m of a drill hole, and an
average distance to all informing composites of 80 m. Krige
efficiencies of blocks within the indicated category fall within
the range of 0.25 to 0.4. Lower efficiency blocks may be
included if a structural trend is present. Indicated resources
may be estimated in the first or second kriging run.

Inferred resources are defined as those portions of the deposit
estimated with a drill spacing of greater than 40 m x 40 m, and
include areas drilled on a 250 m x 100 m sections or those
portions of the deposit with a smaller number of intersections
(including limited blocks estimated in pass 4) but
demonstrating a reasonable level of geological continuity.

The resource classification accounts for all relevant factors.
Audits or
reviews

The results of any audits or reviews of
Mineral Resource estimates

The resource classifications reflect the Competent Person’s
views of the deposit.
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 Resource estimate for the Manuka deposit is considered
robust and is representative of the global tonnes and grade
contained within the area of the deposit tested by drilling. The
interpretations of geology and mineralisation are well
constrained and support high confidence in the estimate.

Confidence in the relative accuracy of the estimates is
reflected by the classification of estimates as Measured,
Indicated and Inferred.

With allowance for some deficiencies in the grade control
production data, the current estimates reconcile reasonably
with production undertaken by past tenement holders.

19