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GREEN360 TECHNOLOGIES LIMITED Capital/Financing Update 2021

Mar 24, 2021

65020_rns_2021-03-24_8ea73602-2cfb-40e3-a1bd-f08bd04d50d9.pdf

Capital/Financing Update

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ASX ANNOUNCEMENT

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25 March 2021
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Suvo increases White Cloud kaolin resource by 84% to 72.5Mt of bright white kaolinised granite

SUVO STRATEGIC MINERALS LIMITED

ABN: 97 140 316 463

CORPORATE DETAILS: ASX: SUV

DIRECTORS:

  • An updated Mineral Resource estimate at Suvo’s White Cloud kaolin project has been completed and reported in accordance with the 2012 JORC Code and guidelines

  • Total Mineral Resource of 72.5Mt bright white kaolinised granite is an increase of 84% compared to the previous estimate (January 2021 – 39.5Mt)

Robert Martin Executive Chairman

Len Troncone Executive Director, COO/CFO Aaron Banks Executive Director Dr Ian Wilson Non-Executive Director

CONTACT DETAILS:

  • Mineral Resource Indicated 26.9Mt, 45.6Mt Inferred, potentially supporting a multi-generational operation

  • The insitu 72.5Mt of bright white kaolinised granite yields 29.9Mt of <45µm kaolin product

Level 9, 182 St Georges Terrace Perth, Western Australia 6000

P +61 (8) 9389 4495 E [email protected] W www.suvo.com.au

  • Offtake announced 8 March with CMM Toye Industrial Mineral Consultants (“CMM”) for A$850 per tonne confirms market interest in the White Cloud product

  • Offtake discussions continue with potential local and international parties

  • Updated Mineral Resources will be used in Suvo’s current Scoping Study being undertaken by Primero Group

suvo.com.au

25 March 2021

ASX ANNOUNCEMENT

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Australian kaolin producer and silica sand exploration company, Suvo Strategic Minerals Limited (“Suvo” or “the Company”), is pleased to announce that laboratory results from its recently completed extension drilling program have now been incorporated into an updated White Cloud Mineral Resource estimate completed by CSA Global Pty Ltd (“CSA”).

Commenting on the Resource upgrade, Suvo’s Executive Chairman, Robert Martin said “ The near doubling of our resources at White Cloud shows the true potential and size of this project as does the recent market interest in the product highlighted by our recently announced agreement with CMM. We look forward to updating the market as we continue to progress off take agreements, partnerships and project milestones for our White Cloud project .”

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The White Cloud Project

The 100% owned White Cloud Project is located 215km northeast of Perth, Western Australia. The project area comprises four granted exploration licences for 413km[2] centred around the town and rail siding of Gabbin. The generally flat area is primarily cleared farming land devoid of native bushland and is currently used for broadacre cereal cropping. A mining access agreement is in place over the current resource area with the land owner and occupier.

The main rock types at White Cloud are primarily Archaean granite, gneiss, and migmatite. These rocks are overlain and obscured by Tertiary sand and Quaternary sheetwash. The weathering profile is very deep and contains thick kaolin horizons capped by mottled clays or laterite zones.

Figure 1 : White Cloud tenement and infrastructure location map

Mineral Resource Summary Results March 2021

The White Cloud March 2021 Mineral Resource Estimate was completed by CSA Global Pty Ltd (CSA) on behalf of Suvo. This estimate includes additional data acquired since the previous estimate relating to extensional drilling and additional tenure of E70/5517 which is now granted.

A total Resource of 72.5Mt of bright white kaolinised granite at 80.5% ISO brightness is estimated for White Cloud, an increase of 84% over the previous estimate (39.5Mt). The in-situ 72.5Mt of bright white kaolinised granite yields 29.9Mt of <45µm kaolin product.

Below is a summary of tabulated results from the existing January 2021 and current March 2021 Mineral Resource Estimates for comparison.

suvo.com.au

25 March 2021

ASX ANNOUNCEMENT

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March 2021 January 2021
Category
Indicated
Inferred
TOTAL
White Kaolinised
ISO Brightness
Granite (Mt)
% (457nm)
26.9
80.4
45.6
80.6
72.5
80.5
Yield
<45µm %
41.3
41.1
41.2
Kaolin
(Mt)
11.1
18.8
29.9
Category
White Kaolinised
ISO Brightness
Yield
Kaolin
Granite (Mt)
% (457nm)
<45µm %
(Mt)
Indicated
26.7
80.9
41.4
11.1
Inferred
12.8
80.4
42.1
5.4
TOTAL
39.5
80.7
41.6
16.4
%Difference 84% 0% -1% 82%

Table 1 : White Cloud resource comparison January 2021 vs March 2021 and percentage difference

Figure 2 below shows the distribution of the drill holes, and the resultant resource category from the current estimation. The majority of the Inferred resource to the east and south is a result of the newly included data from the extension drilling that was recently completed.

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Figure 2 : March 2021 White Cloud Resource categories and drill hole locations

Figure 3 below shows the current March 2021 Resource model blocks coloured by brightness compared to the drill results showing good correlation and thick zones of bright white kaolinised granite.

suvo.com.au

25 March 2021

ASX ANNOUNCEMENT

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Figure 3 : March 2021 White Cloud Resource coloured by Brightness vs drillhole grades section line looking east 100m drill spacing, vertical exaggeration 5

Figure 4 below shows the current March 2021 Resource Model in plan view with the blocks coloured by brightness in the white kaolinised granite. This figure highlights the continuity of the mineralisation to the south and east from previous estimations and the general prevalence of mineralisation in the potential mine area.

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Figure 4 : March 2021 White Cloud Resource blocks in plan view coloured by brightness

suvo.com.au

25 March 2021

ASX ANNOUNCEMENT

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The completion of this Mineral Resource estimate will allow it to be used in the current scoping study being conducted by Primero Group to develop mine optimisations and ore production schedules for processing operations input data.

Discussions with potential offtake partners are ongoing. Suvo will update the market on a timely basis as these progress.

Extension Drilling

A program of extension drilling was completed at White Cloud during December 2020. This drilling was designed to target extensions mainly to the south and east of the current resource area to increase the resource base.

Three lines of drilling to the south were completed with the longest of these extending approximately 2km south from the previous January 2021 resource outline. Some drilling was also completed adjacent to this main line oriented east – west.

This program saw the completion of 31 air core drill holes for 404 metres. All of the drillholes that reached target depth intersected bright white kaolinised granite, with the remainder stopped short due to impenetrable cemented caprock.

A total of 40 composite samples taken from the extension drilling were sent to Nagrom Laboratories for testing. Nagrom determined yield values via mass balance following sizing to <45m, ISO brightness values by reflectance meter and values for Al2O3, SiO2, Fe2O3, TiO2 and loss on ignition (LOI) by XRF.

Figure 5 below shows the existing January 2021 Mineral Resource estimate outline and the extension drilling to the south that was completed in December 2020. Also visible approximately 3.5km to the north is the town of Gabbin, its railway siding and associate infrastructure that is the subject of an agreement between Suvo and CBH Group signed in October 2020. Suvo will be accessing the area for use as a processing plant and logistics hub.

suvo.com.au

25 March 2021

ASX ANNOUNCEMENT

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Figure 5 : White Cloud Mineral Resource Estimate outline January 2021 (red line), extension drilling completed December 2020 (red), all other drilling (black)

Mineral Resource Estimate March 2021

A Mineral Resource estimate was completed by CSA in March 2021 in accordance with the 2012 JORC code and guidelines.

suvo.com.au

25 March 2021

ASX ANNOUNCEMENT

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The drill hole data were supplied by Suvo in Microsoft Excel format and contained the following:

  • Collar coordinate data recorded using MGA94 Zone 50 grid.

  • File with assay data and lithological logging.

A summary of the data provided is shown in Table 2 below.

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Number Number of
of records for
records additional
Category for holes holes
used in
Jun-2020
MRE
Drill holes 27 104
Metres drilled 646 1,978
Sample intervals 119 224
Lithological codes 119 328
Including analytical values:
Brightness > 0 52 204
Yield (<45 µm) > 0 % 52 204
Al2O3 > 0 % 52 204
SiO2 > 0 % 52 204
Fe2O3 > 0 % 52 204
TiO2 > 0 % 52 204
LOI > 0 % 52 204
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Table 2 : White Cloud data June 2020 vs March 2021

The data used to establish the resource were derived from three drilling campaigns conducted in 2019 and 2020. The total program consisted of 131 air core drillholes for 2,624m of drilling, of which 114 holes for 2,468m were within the current Mineral Resource limits. 112 drillholes had both lithology logging and laboratory assay results. 14 drillholes had lithology descriptions but without assay data. 5 drillholes had no lithology and no assay data.

Drillholes MAC001 to MAC027 were completed by Wallis Drilling Pty Ltd using a Mantis 200 AC rig fitted with an 86-mm air core face sampling bit. All other drillholes were completed by Outback Drilling Pty Ltd using a KL150 air core rig using 83mm air core bits and 73mm ARD drill rods.

Air core drill samples were collected at 1m intervals and stored at a secure storage facility. Samples of approximately 3kg each was collected directly from a splitter attached to the cyclone on the Mantis Drill Rig (2019). Sample collection performed during the Outback Drilling (2020) used plastic hand trowel after manual homogenisation. Sample quality and representivity was acceptable and no significant loss of sample through hole blowouts or the like occurred. Drilling and sampling continued to rig refusal or to a non-kaolinitic domain change.

Samples were geologically logged for all intervals by an experienced geologist on-site at the time of drilling. Logging noted the lithology, colour, degree of weathering and alteration. Photographs were taken of the chip trays and, during the 2020 program, the individual 1m samples. Field logging of air core drill samples was qualitative with 100% of relevant kaolin intersections logged and sampled.

suvo.com.au

25 March 2021

ASX ANNOUNCEMENT

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Each 1m interval was collected from the cyclone underflow in drillholes MAC001 to MAC027. Samples from the splitter were approximately 4 kg each and consistent lithologically save for the transition zones between domains. No significant sample loss was recorded and the samples are considered representative. Samples were collected directly from a splitter attached to the cyclone for the MAC series drillholes. All other drillholes (WK series and A Series) were homogenised manually within the sample bag. The 1m interval sample bags weighed approximately 5-8 kg each. Composites were prepared using weighted subsamples of the intervals post manual homogenisation using a pvc tube or long trowel.

Field samples and composites were all sufficiently dry to obtain a representative sample. Little variance occurs within individual kaolinitic domains which are generally over 5m thick. Thus, manual homogenisation of 1m metre intervals within these domains followed by subsampling of each 1m interval equally to obtain a representative composite sample of each domain is deemed appropriate and representative. Sample size collected from the cyclone represented approximately 60% of the total volume. There is little variation between each 1m sample within a particular domain.

The White Cloud kaolin deposit is formed from the weathering of coarse-grained granite composed of quartz and feldspar with minor amounts of mica and other constituents. Kaolinite is a layered alumino-silicate clay mineral. The feldspar in the granite has been altered to kaolinite during the weathering process.

The weathering process appears to relate to historical water table movement which formed a residual ‘hardcap’ possibly re-cemented immediately below the overburden. Although relatively thin, this layer was at times impenetrable for the air core drilling rigs. Thus, several holes were abandoned at this depth. Where the layer was penetrated, kaolin was intersected.

The geological interpretation of the kaolin deposit at White Cloud is well understood and the logged lithologies are coherent and traceable over numerous drill holes and drill sections. Drillhole intercept logging and assay results have formed the basis for the geological interpretation. The mineralised zone extends for approximately 2,600m in easting ranges and between 400m and 1,200m in width along northings. The average vertical thickness for the white kaolin granite zone is 11m. Overburden is 4 to 6m.

The grade and lithological interpretation forms the basis for modelling. Lithological envelopes defining prospective white kaolinised granite zone within which the grade estimation has been completed.

The deposit is an in-situ kaolin deposit formed by near-surface weathering of granitoid rocks. The deposit does not lend itself readily to alternative interpretations and as such they are unlikely to have a material impact on the results.

The lithological units are recognised based on mineralogy, chemistry and colour. Resource estimation assumes that these units formed a series of conformable, sub horizontal, pseudostratified, in-situ weathering units.

Metallurgical testing was carried out at two laboratories. Some duplication of testing was performed to compare results. Full quantitative chemical analysis of screened products was carried out with a Panalytical Zetium, XRF at Nagrom, Kelmscott, Western Australia. Reported are % SiO2, Al2O3, Fe2O3, TiO2, CaO, MgO, Na2O, K2O, P2O5, Mn3O4, Cr2O3, BaO, ZrO2, ZnO, V2O5, SrO and LOI (Loss on ignition at 1000deg C). Testing of the first-round drill samples (MACxxx series) was performed by First Test Minerals in the United Kingdom, the processes therein having been previously reported.

suvo.com.au

25 March 2021 ASX ANNOUNCEMENT

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Duplicate air core samples were prepared on site and tested at Nagrom.

Sample preparation of kaolinised granite consisted of crushing to 10mm then wet attritioning at 50% w/w solids for 30 minutes using a double propeller D12 Joy Denver mill at 800rpm.

This was followed by wet screening to -0.18mm and -0.045mm then drying at 110°C. The dry fractioned samples were weighed then riffle split to obtain a 1kg sample for analysis. The remainder is rebagged and stored. Analysis of each fraction consists of XRF measurements for SiO2, Al2O3, Fe2O3, TiO2, CaO, MgO, Na2O, K2O, P2O5, Mn3O4, Cr2O3, BaO, ZrO2, ZnO, V2O5, SrO and LOI followed by ISO brightness & yellowness.

Process test work was carried out in accordance with kaolin industry standard methods for this type of deposit. For further details see Section 1 of Table 1 under JORC criteria ‘Sub-sampling techniques and sample preparation’.

256 down-hole composites were tested and used for the current Mineral Resource estimation. These tests verified that the white kaolinised granite has a minus 45 micron fraction yield of approximately 40% (range ~12-72%). Brightness values had a median of approximately 82 (range ~62-89).

All drill hole analytical results were used for interpretation and grade estimation of the lithological zones. Data were imported into a Micromine database for statistical analysis and grade interpolation. Lithological descriptions were entered into the database as an interval file with lithological codes assigned. The lithological codes assisted with domain interpretation and were compared visually with chip tray photographs supplied by Suvo.

The validation revealed no critical errors.

Geological modelling was undertaken by CSA using Micromine 2018 software.

CSA carried out statistical analysis of the analytical data for white kaolinised granite lithological unit. Initial assessment of the values for both brightness and yield (< 45 µm fraction) within the project data reveals a pseudo-normal population for yield centred around a value of approximately 40% and slightly negatively skewed population for brightness values around a median 82%.

The mineralisation contained within the White Cloud kaolin project is the product of weathering of the underlying granitoids. Modelling of the upper and lower surfaces of the host horizon for kaolin mineralisation is tantamount to modelling the various oxidation states within the weathered granitoid.

Kaolin mineralisation is considered to have formed as a weathering product within the regolith horizon and envelopes as modelled are constrained by this lithological horizon. The wireframe objects were used as hard boundaries for grade interpolation. The block model of the deposit with interpolated grades was validated both visually and by statistical/software methods.

The mineralisation interpretation was extended perpendicular to the corresponding first and last interpreted cross section to the distance equal to a half distance between the adjacent exploration lines. If a mineralised envelope did not extend to the adjacent drill hole section, it was pinched out to the next section and terminated. The general direction and dip of the envelopes was maintained.

The interpretation strings were used to generate �D models. A wireframe has a name that corresponds to its zone. One set of wireframes were created for the deposit: namely, WKG domain. Working in a �D environment ensured accurate modelling of the weathering zones.

suvo.com.au

25 March 2021

ASX ANNOUNCEMENT

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Before undertaking the block modelling, statistical assessment of the data was completed to understand how the grade estimates should be accomplished. The main variables under consideration for the White Cloud kaolin project are ISO brightness and yield. Each of these variables was subject to classical exploratory data analysis in preparation for estimation.

Drillhole interval compositing is a standard procedure which is used to set all sampling intervals to the same length (“volume support”) so that all the samples will have the same weight during grade interpolation. The composite interval length is usually selected to be close to the standard or mean sampling length (Edwards, ����) to retain the natural variability of the data.

Solid wireframes for each mineralised envelope were used to select samples. Samples were selected for individual mineralised envelopes and flagged for each mineralisation zone and geological domain using Micromine software.

Based on the drillhole coding, samples from within the resource wireframes were used to conduct a sample length analysis. The samples range from �-�� m in length for a mean sample length of � metres and median �m. The most common interval was around �m (��%). Based on this, a decision was made by CSA to generate five metre composite intervals for all samples within the mineralised bodies.

The composite intervals were generated using the samples within the corresponding wireframe models only. Compositing was stopped at all boundaries between different lithological units.

Once the mineralisation had been interpreted and wireframed, classical statistical analysis was repeated, but only for the samples that were within the mineralised envelopes. This was carried out to meet the following objectives:

  • To estimate the mixing effect of grade populations for each element within each zone

  • To assess the potential for separation of grade populations if more than one population exists

  • To define the top-cut grades.

Samples were coded separately for each mineralisation zone. Visual validation was then performed to check sample coding.

The coefficient of variation for composited grades in the geological domain was low (between �.�� and �.��) which indicates that the chances of obtaining reliable semivariograms models for all grades are good, given an adequate database.

A review of grade outliers was undertaken to ensure that extreme grades are treated appropriately during grade interpolation. Brightness and yield values for each mineralised domain were assessed using distribution coefficient of variation values, log-probability and histogram plots, to identify any extreme high-grade values. Data for both brightness and yield for each mineralised domain showed pseudo-normal distributions with no significantly high-grade outliers. Consequently, no top cuts were applied to either variable for any domain.

No geostatistical analysis (variography) has been attended due to insufficient number of samples.

CSA assigned bulk density values to each block of the block model. CSA Global applied the following value for the deposit:

  • �.� t/m[�] for white kaolinised granite zone.

suvo.com.au

25 March 2021

ASX ANNOUNCEMENT

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It is the opinion of the Competent Person, Dr Ian Wilson (MIMMM), the method of application and the value applied are appropriate for the nature and style of mineralisation.

An empty block model was created with dimensions sufficient to encompass the closed wireframe models for the mineralised envelopes that were modelled. Blocks that fell into the boundaries of the wireframes were then coded as WKG blocks.

The size of the parent block used in creating the block model was selected on the basis of the exploration grid (100 by 200 m), the general morphology of mineralised bodies, and with due regard for the geology of the weathering profile, and the high vertical grade variability and to avoid creating excessively large block models. The sub-block dimensions were chosen accordingly to maintain resolution of the mineralised bodies.

The block model was constructed using a 50m E x 50m N x 5m RL parent block size, with subcelling to 10m E x 10m N x 1m RL for domain volume resolution. Input data did not display significant outliers in their distributions and so no top-cuts were applied.

Blocks were sub-celled at the margins of mineralisation domains and at the topographic surface during coding to preserve volumetric resolution. The parent cell size was chosen based on the general morphology of the interpreted bodies and in order to avoid the generation of too large block models. The sub-celling size was chosen to maintain the resolution of the mineralised bodies. The sub-cells were optimised in the models where possible to form larger cells.

Grade estimation was by Inverse Distance Weighting (IDW) using Micromine 2018 software. Following on from the previous White Cloud iteration completed in June 2020, an IDW method was chosen to interpolate ISO brightness (457 nm), yield <45m, Al2O3, SiO2, Fe2O3, TiO2 and LOI values.

For the purposes of domain coding, input data selection and estimation, each domain boundary was treated as a hard boundary. Each zone domain was estimated separately.

The interpolation was performed using multiple passes, with expanding search radii until all cells were interpolated. The initial search radii were determined by the drillhole density used at the deposit is mostly 100m by 200m and in some localised area is reduced to 50m by 50m.

Due to the relatively sparse drilling at the deposit and to ensure that local grade distribution is preserved, the first run was set to be equal to the block size dimension. The second and the third interpolation runs used a multiplier to the search axes, which was started from � and incremented by � with requirement of minimum � samples and two drillholes. The search radii for the last two interpolation runs were set to � block sizes and �� block sizes respectively. For the last two runs estimation parameters such as minimum number of informing samples, and restrictions on informing composites contributed from individual drillholes were relaxed and set to � minimum sample and � minimum drillhole. The search ellipse was relatively flat in horizontal plane, so as to model the assumed high vertical variability of grades in the deposit’s weathering profile.

The blocks were interpolated using only composite intervals within the corresponding wireframe domains.

Search ellipses were divided into quadrants in the XY plane to minimise input sample clustering. The following constraints were applied on each quadrant for all profile zones: a maximum of four points was used within each quadrant. Thus, a maximum of �� composite samples was available for interpolation. Target blocks were discretised into �  �  � points, with punctual estimation

suvo.com.au

25 March 2021

ASX ANNOUNCEMENT

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centred on each point. Then the grade estimation in the centre of the block consisted of the simple average value of the estimated points throughout the block volume.

Validation of the grade estimate was completed by:

  • Visual checks on screen in sectional view to ensure that block model grades honour the general grade tenor of down-hole composites.

  • Generation of swath plots to compare input and output brightness and yield values in a semilocal sense by easting, northing and elevation. The swath plots were constructed for the blocks and sample intervals that fall into the white kaolinised granite zone.

Visual validation of block grades against input grades in each area confirmed that the block model reflects the grade tenor of the input composites.

Validation histograms and probability plots were generated for composites and block model grades. Grade distribution, populations and swath plots were reviewed and compared. They show that the distribution of block grades honours the distribution of input composite grades. There is a degree of smoothing evident, which is to be expected given the volume variance effect. Smoothing is particularly evident in areas of wide spaced drilling where the number of composites was relatively low. However, the general trend in the composites is reflected in the block model.

The grade and tonnages are presented at a cut-off grade of 0% ISO brightness for elements considered to be important in the choice of treatment processes which is considered appropriate for the current stage of the project.

It is assumed that due to the very shallow / near surface nature of the deposit, it will be mined by open pit methods.

Clause �� of the JORC Code[1] requires that all reports of Mineral Resources must have reasonable prospects for eventual economic extraction, regardless of the classification of the resource.

The overall Competent Person, Dr Ian Wilson (MIMMM), deems that there are reasonable prospects for eventual economic extraction on the following basis:

  • The geometry of the mineralisation is conducive to open pit mining, being close to the surface.

  • The project is well situated for transport of product for export through Fremantle Port.

  • Kaolin in the region has been produced historically from similar deposits.

Clause �� of the JORC Code requires that industrial minerals including kaolin that are produced and sold according to product specifications, must be reported “ in terms of the mineral or minerals on which the project is to be based and must include the specification of those minerals ”. The Competent Person deems that the White Cloud kaolin project is appropriately reported by considering ISO brightness, yield for the <�� μm fraction and major element chemistry of kaolinised granite within the project area and also notes that products with similar specifications are currently traded.

The Mineral Resource has been classified in accordance with guidelines contained in the JORC Code. The classification applied reflects the Competent Person’s view of the uncertainty that should be assigned to the Mineral Resources reported herein. Key criteria that have been considered when classifying the Mineral Resource are detailed in JORC Table �.

suvo.com.au

25 March 2021

ASX ANNOUNCEMENT

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The Mineral Resource was classified as Inferred and Indicated taking into account the level of geological understanding of the deposit, quality of samples, density data, drillhole spacing and sampling, analytical and metallurgical processes. Material classified as Indicated was considered to be sufficiently informed by adequately detailed and reliable geological and sampling data to assume geological, grade and quality continuity between data points. Material classified as Inferred was considered to be sufficiently informed by geological and sampling data to imply geological, grade and quality continuity between data points.

The following classification approach was adopted:

  • The resource was classed as Indicated in the areas of the drilling where the drillhole density was reduced to line spacing approximately ���m and hole spacing to ���m.

  • The resource was classed as Inferred in the areas where the drillhole density exceeded the ���m by ���m grid. The classification reflects the level of data available for the estimate including input drillhole data spacing and the high level of geological continuity of the particular style of deposit.

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

1 Australasian Code for Reporting of Exploration Results, Mineral Resources and Ore Reserves. The JORC Code, 2012 Edition. Prepared by: The Joint Ore Reserves Committee of The Australasian Institute of Mining and Metallurgy, Australian Institute of Geoscientists and Minerals Council of Australia (JORC).

suvo.com.au

25 March 2021

ASX ANNOUNCEMENT

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Contacts:

Robert Martin Executive Chairman E: [email protected]

Len Troncone Executive Director, COO/CFO E: [email protected]

Company Profile:

Suvo Strategic Minerals Limited is an Australian hydrous kaolin producer and exploration company listed on the Australian Securities Exchange (ASX:SUV). Suvo is focused on production at, and redevelopment of, their 100% owned Pittong hydrous kaolin operation located 40km west of Ballarat in Victoria. Suvo’s exploration focus is on their 100% owned White Cloud Kaolin Project located adjacent to Gabbin in the Central Wheat Belt, and the 100% owned Nova Silica Sands Project located in the Gin Gin Scarp near Eneabba, both situated in Western Australia.

Pittong Operations

The 100% owned Pittong Operations, located in Victoria 40km west of Ballarat, is the sole wet kaolin mine and processing plant in Australia and has been in operation since 1972. Pittong comprises the Pittong, Trawalla and Lal Lal deposits located on approved Mining Licences MIN5408, MIN5365 and MIN5409 respectively.

At Pittong mining contractors deliver crude kaolin ore to stockpiles from the two currently operating mines, Pittong and Lal Lal. The plant takes its feedstock from the ROM and it is processed into four separate products for end users. These products are 10% moisture lump, high solids slurry, 1% moisture powder and 1% moisture pulverised powder. The solids slurry is used in paper and board manufacturing. The other products are used in paper, coatings, paint and specialist industries including rubber and pharmaceutical applications. Around 20-25kt per annum is supplied to various end users.

Current Reserves and Resources at Pittong are reported to PERC code and are in the process of being upgraded to JORC 2012 compliance.

The White Cloud Kaolin Project

The 100% owned White Cloud Project is located 215km northeast of Perth, Western Australia. The project area comprises four granted exploration licences (E70/5039, E70/5332, E70/5333, E70/5517) for 413km[2] , centred around the town and rail siding of Gabbin.

The generally flat area is primarily cleared farming land devoid of native bushland and is currently used for broad-acre cereal cropping. A mining access agreement is in place over the current resource area with the land owner and occupier.

The main rock types at White Cloud are primarily Archaean granite, gneiss, and migmatite. These rocks are overlain and obscured by Tertiary sand and Quaternary sheetwash. The weathering profile is very deep and contains thick kaolin horizons capped by mottled clays or laterite zones. The current JORC 2012 Mineral Resources are 72.5Mt of bright white kaolinised granite with an ISO Brightness of 80.5%, <45m yield of 41.2% results in 29.9Mt of contained kaolin.

Nova Silica Sands Project

The 100% owned Nova Silica Sands Project is located 300km north of Perth, Western Australia. The project comprises three granted exploration licences (E70/5001, E70/5322, E70/5323) for 133km[2] and one exploration licence under application (E70/5324) for 36km[2] .

The project is located on the Eneabba Plain whose sandy cover is very flat to gently undulating. Outcrop is rare due to the accumulations of windblown and alluvial sand at surface. Below this is a thin hard silcrete or lateritic claypan which overlies deep white and yellow sands.

Preliminary exploration has included 54 drillholes for 1,620 metres to depths of up to 30m. This program is anticipated to deliver an initial resource for the project and a process route.

suvo.com.au

25 March 2021

ASX ANNOUNCEMENT

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Competent Person Statements

The information in this announcement which relates to Exploration Results and Mineral Resources is based on information compiled by Dr Ian Wilson. Dr Ian Wilson 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 JORC Code, by virtue of his being a member of IOM3, a Recognised Professional Organisation. Dr Ian Wilson is a full-time employee of Ian Wilson Consultancy Ltd and also a Non-Executive Director of Suvo Strategic Minerals Limited. Dr Ian Wilson receives board fees in relation to his directorship. Dr Ian Wilson consents to the inclusion of the information in the release in the form and context in which it appears.

The geological modelling included in the Mineral Resource Report was prepared, and fairly reflects information compiled, by Mr Serik Urbisinov and Dr Andrew Scogings, each of whom have sufficient experience which is relevant to the style of mineralisation and type of deposit under consideration and to the activity which they are undertaking to qualify as Competent Persons as defined in the 2012 edition of the ‘Australasian Code for Reporting of Exploration Results, Mineral Resources and Ore Reserves’ (the JORC Code). Mr Urbisinov is a full-time employee of CSA Global Pty Ltd and is a Member of the Australian Institute of Geoscientists. Dr Andrew Scogings is an employee of Klipstone Pty Ltd and a consultant to CSA Global Pty Ltd, a Member of both of the Australasian Institute of Mining and Metallurgy (“AusIMM”) and the Australian Institute of Geoscientists (“MAIG”) and is a Registered Professional Geoscientist (RP Geo. Industrial Minerals). Mr Serik Urbisinov and Dr Andrew Scogings consent to the inclusion of information in the Mineral Resource Report that is attributable to each of them, and to the inclusion of the information in the release in the form and context in which they appear.

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Drill Hole Collars

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Appendix 1: JORC Table 1

Section 1: Sampling Techniques and Data

(Criteria in this sec�on apply to all succeeding sec�ons.)

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Criteria JORC-Code Explanation Commentary
Nature and quality of sampling (eg cut Air core drilling program was conducted to investigate and
channels, random chips, or specific quantify the kaolin on the property.
specialised industry standard measurement The datasets used to establish the resource were derived from
tools appropriate to the minerals under three drilling campaigns conducted in 2019 and 2020. The
investigation, such as down hole gamma total program consisted of 131 air core drillholes for 2624m of
sondes, or handheld XRF instruments, etc). drilling, of which 114 holes for 2468m were within the current
These examples should not be taken as Mineral Resource limits. 112 drillholes had both lithology
limiting the broad meaning of sampling. logging and laboratory assay results. 14 drillholes had
lithology descriptions, but without assay data. 5 drillholes had
Include reference to measures taken to no lithology and no assay data.
ensure sample representivity and the
Samples are stored at a secure storage facility.
appropriate calibration of any measurement
tools or systems used. Air core drill samples were collected at 1 m intervals. The
Sampling sample of approximately 3kg each was collected directly from
techniques Aspects of the determination of a splitter attached to the cyclone on the Mantis Drill Rig
mineralisation that are Material to the (2019). Sample collection performed during the Outback
Public Report. In cases where ‘industry Drilling (2020) program used plastic hand trowel after
standard’ work has been done this would be manual homogenisation. Sample quality and representivity
relatively simple (eg ‘reverse circulation was acceptable and no significant loss of sample through hole
drilling was used to obtain 1 m samples from blowouts or the like occurred. Drilling and sampling
which 3 kg was pulverised to produce a 30 g continued to rig refusal or to a non-kaolinitic domain change.
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 (eg submarine nodules)
may warrant disclosure of detailed
information.
Drillholes MAC001 to MAC027 were completed by Wallis
Drill type (eg core, reverse circulation, open-
Drilling Pty Ltd using a Mantis 200 AC rig fitted with an 86-
hole hammer, rotary air blast, auger,
mm air core face sampling bit. All other drillholes were
Bangka, sonic, etc) and details (eg core
Drilling completed by Outback Drilling Pty Ltd using a KL150 air
diameter, triple or standard tube, depth of
techniques core rig using 83mm air core bits and 73mm ARD drill rods.
diamond tails, face-sampling bit or other
type, whether core is oriented and if so, by
what method, etc).
A qualitative assessment of sample recovery was made by the
Method of recording and assessing core and
supervising geologist during drilling. Samples were
chip sample recoveries and results assessed.
geologically logged and recovery was again assessed. Most
Drill sample samples were dry and recovery complete. Occasionally
recovery Measures taken to maximise sample recovery sample return required air adjustments during drilling to
and ensure representative nature of the maximise recovery and reduce clay build-up between the
samples. sample face and the cyclone. To ensure sample quality and
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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.
integrity was maintained, the drill string, cyclone and sample
return hose was cleaned several times during each drillhole
with particular attention to this process in areas where clay
moisture increased.
There was no evidence of bias in 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.
integrity was maintained, the drill string, cyclone and sample
return hose was cleaned several times during each drillhole
with particular attention to this process in areas where clay
moisture increased.
There was no evidence of bias in the samples.
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.
Samples were geologically logged for all intervals by an
experienced geologist on-site at the time of drilling.
Logging noted the lithology, colour, degree of weathering and
alteration.
Logging
Photographs were taken of the chip trays and, during the
2020 program, the individual 1 m samples.
Field logging of air core drill samples was qualitative.
100% of relevant kaolin intersections were logged and
sampled.
Whether logging is qualitative or
quantitative in nature. Core (or costean,
channel, etc) photography.
The total length and percentage of the
relevant intersections logged.
If core, whether cut or sawn and whether
quarter, half or all core taken.
Each 1 m interval was collected from the cyclone underflow
in drillholes MAC001 to MAC027. Samples from the splitter
were approximately 4 kg each and consistent lithologically
Sub-sampling
techniques and
sample
preparation
save for the transition zones between domains. No significant
sample loss was recorded, and the samples are considered
representative. Samples were collected directly from a splitter
attached to the cyclone for the MAC series drillholes. All
other drillholes (WK series and A Series) were homogenised
manually within the sample bag. The 1-metre interval sample
bags weighed approximately 5-8 kg each. Composites were
prepared using weighted subsamples of the intervals post
manual homogenisation using a pvc tube or long trowel.
Sample size collected from the cyclone represented
approximately 60% of the total volume. There is little
variation between each 1m sample within a particular
domain.
Field samples and composites were all sufficiently dry to
obtain a representative sample.
Little variance occurs within individual kaolinitic domains
which are generally over 5m thick. Thus manual
homogenisation of 1m metre intervals within these domains
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.

followed by subsampling of each 1m interval equally to obtain
a representative composite sample of each domain is deemed
appropriate and representative.

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Criteria JORC-Code Explanation Commentary
The nature, quality and appropriateness of Metallurgical testing was carried out at two laboratories.
the assaying and laboratory procedures used Some duplication of testing was performed to compare
and whether the technique is considered results. Full quantitative chemical analysis of screened
partial or total. products was carried out with a Panalytical Zetium, XRF at
Nagrom, Kelmscott, WA. Reported are % SiO2, Al2O3, Fe2O3,
TiO2, CaO, MgO, Na2O, K2O, P2O5, Mn3O4, Cr2O3, BaO,
For geophysical tools, spectrometers, ZrO2, ZnO, V2O5, SrO and LOI (Loss on ignition at 1000deg
handheld XRF instruments, etc, the C). Testing of the first-round drill samples (MACxxx series)
parameters used in determining the analysis was performed by First Test Minerals in the UK.
including instrument make and model,
Duplicate air core samples were prepared on site and tested
reading times, calibrations factors applied
at Nagrom.
and their derivation, etc.
Sample preparation of kaolinised granite consisted of
Quality of
crushing to P100/10mm then wet attritioning at 50% w/w
assay data and
solids for 30 minutes using a double propeller D12 Joy
laboratory
tests Denver mill at 800rpm.
This is followed by Wet Screening to -0.18mm and -0.045mm
then drying at 110°C. The dry fractioned samples are
weighed then riffle split to obtain a 1kg sample for analysis.
Nature of quality control procedures adopted
The remainder is rebagged and stored. Analysis of each
(eg standards, blanks, duplicates, external
fraction consists of XRF measurements for SiO2, Al2O3,
laboratory checks) and whether acceptable
Fe2O3, TiO2, CaO, MgO, Na2O, K2O, P2O5, Mn3O4, Cr2O3,
levels of accuracy (ie lack of bias) and
BaO, ZrO2, ZnO, V2O5, SrO and LOI followed by ISO
precision have been established.
Brightness & Yellowness. Dr Andrew Scogings, a consulting
geologist subcontracted to CSA Global, Perth, carried out
site visit to Nagrom to verify the sample preparation and
testing methods during 2020 drilling.
Dr Andrew Scogings, a consulting geologist subcontracted to
The verification of significant intersections
CSA Global, Perth, carried out a one-day site visit during the
by either independent or alternative company
personnel. September 2020 drilling.
Three of the 2019 holes were twinned during the 2020
The use of twinned holes. program.
Verification of
Field data was collected in both field notebooks and log
sampling and
sheets, then manually entered into spreadsheets and validated
assaying Documentation of primary data, data entry
in Micromine. No adjustments were made to assay data.
procedures, data verification, data storage
(physical and electronic) protocols.
Discuss any adjustment to assay data.
Accuracy and quality of surveys used to All drillholes and tracks were picked up using a Garmin
locate drill holes (collar and down-hole GPSmap 62S. Drillhole collars were recorded using the
surveys), trenches, mine workings and other MGA94 Zone 50 grid.
locations used in Mineral Resource 128 drill collars were surveyed by Southern Cross Surveys
estimation. Pty Ltd using Topcon mm GPS with specifications of +/-
Location of
10mm N & E and +/-15mm Z. Survey data was compared to
data points
Specification of the grid system used. the handheld field GPS data to verify the surveyed names and
positions.
Quality and adequacy of topographic All holes were vertical and, with an average hole depth of
control. only 20m downhole surveying was not considered necessary.
Data spacing The drilling was performed on section lines orthogonal to the
Data spacing for reporting of Exploration
and MGA94 grid. A nominal drill spacing of 100m x 600m was
Results.
distribution
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Criteria JORC-Code Explanation Commentary
Whether the data spacing and distribution is used in the initial MAC series drillholes which defined the
sufficient to establish the degree of priority target area.
geological and grade continuity appropriate Infill drilling in the northern block reduced line spacing to
for the Mineral Resource and Ore Reserve 200m and hole spacing to 100m to upgrade the resource
estimation procedure(s) and classifications classification.
applied.
Infill drilling at 50 to 75m spacing was carried out in a cross-
shaped pattern around two of the twin pairs to assess short-
range variability.
Extension drilling was performed to define the extent of the
larger inferred resource area extending up to approximately
2,000 m south of the main resource area. Two of these holes
were used to inform the current Mineral Resource estimate.
The extension drilling was completed along farm tracks and
fence lines with a hole spacing of 200m and a nominal line
Whether sample compositing has been
spacing of 600m.
applied.
The sampling is considered appropriate to accurately define
domains characterised by vertical changes in the weathering
profile.
Sample composites were produced from original 1m samples.
Composites comprised equally weighted intervals collected by
quartering or spearing homogenised samples of each of the
1m samples. Composites were based on kaolinite brightness
and colour.
Whether the orientation of sampling achieves All drill holes are assumed vertical, which means that the
unbiased sampling of possible structures and sampling is orthogonal to the horizontal to sub horizontal
the extent to which this is known, considering kaolin zones.
Orientation of
the deposit type.
data in relation Orientation-based sampling bias is not expected from vertical
to geological If the relationship between the drilling drillholes.
structure orientation and the orientation of key
mineralised structures is considered to have
introduced a sampling bias, this should be
assessed and reported if material.
Samples have been in the care of Company personnel during
Sample The measures taken to ensure sample
drilling, transport from the field and into Company storage
security security.
facility.
Audits or The results of any audits or reviews of The field program was managed and supervised by Dean de
reviews sampling techniques and data. Largie who is a Fellow of the Australian Institute of
Geoscientists.
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Section 2: Reporting of Exploration Results

(Criteria listed in the preceding sec�on also apply to this sec�on.)

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Criteria JORC-Code Explanation Commentary
The 100% owned White Cloud Project is located 215km
Type, reference name/number, location and
northeast of Perth, Western Australia. The project area
ownership including agreements or material
comprises four granted exploration licences (E70/5039,
issues with third parties such as joint
E70/5332, E70/5333, E70/5517) for 413km [2] , centred around the
ventures, partnerships, overriding royalties,
Mineral native title interests, historical sites, town, and rail siding, of Gabbin.
tenement and wilderness or national park and There are no known impediments to operate on the tenements.
land tenure environmental settings.
status
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.
Exploration Acknowledgment and appraisal of
No previous exploration for kaolin has been identified.
done by other exploration by other parties.
i
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Criteria JORC-Code Explanation Commentary
The White Cloud kaolin deposit is formed from the weathering
of coarse-grained granite composed of quartz and feldspar with
minor amounts of mica and other constituents. Kaolinite is a
layered alumino-silicate clay mineral. The feldspar in the
granite has been altered to kaolinite during the weathering
process.
The weathering process appears to relate to historical water
table movement, which formed a residual ‘hardcap’ possibly re-
Deposit type, geological setting and style of cemented immediately below the overburden. Although
Geology
mineralisation. relatively thin, this layer was at times impenetrable for the air
core drilling rigs. Thus, several holes were abandoned at this
depth. Where the layer was penetrated, kaolin was intersected.
A summary of all information material to The overburden of moderately pisolitic ferruginous soils is
the understanding of the exploration results generally 4m to 7m thick. White kaolinite zones were generally
including a tabulation of the following 10m to 15m thick.
information for all Material drill holes: All holes were drilled vertically to an average depth of 20 m.
easting and northing of the drill hole collar Drillhole collar information is included within the text and
appendix of the report.
elevation or RL (Reduced Level – elevation
above sea level in metres) of the drill hole
collar
Drill hole
Information 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.
In reporting Exploration Results, weighting Aggregation and averaging have not been used.
averaging techniques, maximum and/or
minimum grade truncations (eg cutting of
high grades) and cut-off grades are usually
Material and should be stated.
Data Where aggregate intercepts incorporate
aggregation short lengths of high grade results and
methods longer lengths 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.
These relationships are particularly The kaolin is hosted within a horizontal near-surface weathering
Relationship important in the reporting of Exploration profile. It is an in-situ weathered product of a granitic intrusive
between Results. rock. The weathering profile is zoned vertically. Drillholes are
mineralisation all vertical. Reported widths of kaolin are approximately true
widths and If the geometry of the mineralisation with widths.
intercept respect to the drill hole angle is known, its
lengths nature should be reported.
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Criteria JORC-Code Explanation Commentary
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’).
Appropriate maps and sections (with scales) Drill collar maps and appropriate sections are included in the
and tabulations of intercepts should be Report.
included for any significant discovery being
Diagrams
reported These should include, but not be
limited to a plan view of drill hole collar
locations and appropriate sectional views.
All available exploration results are reported in the Report.
Where comprehensive reporting of all
Exploration Results is not practicable,
Balanced representative reporting of both low and
reporting high grades and/or widths should be
practiced to avoid misleading reporting of
Exploration Results.
Other exploration data, if meaningful and All material exploration data has been used and reported.
material, should be reported including (but
not limited to): geological observations;
Other geophysical survey results; geochemical
substantive survey results; bulk samples – size and
exploration method of treatment; metallurgical test
data results; bulk density, groundwater,
geotechnical and rock characteristics;
potential deleterious or contaminating
substances.
The nature and scale of planned further Diamond core drilling is planned to twin selected air core holes,
work (eg tests for lateral extensions or depth to obtain undisturbed core samples to verify geology,
extensions or large-scale step-out drilling). mineralogy and metallurgy results, and to measure in situ bulk
density by the Archimedes and calliper methods.
Further work Diagrams clearly highlighting the areas of
possible extensions, including the main
geological interpretations and future
drilling areas, provided this information is
not commercially sensitive.
Section 3: Estimation and Reporting of Mineral Resources
Criteria JORC Code explanation Commentary
Database Measures taken to ensure that data has not Data used in the Mineral Resource estimate is sourced from
integrity been corrupted by, for example, transcription Microsoft Excel files provided by SUVO Strategic Minerals All
or keying errors, between its initial collection data was validated in Micromine software and verified that all the
and its use for Mineral Resource estimation available data was submitted.
purposes. Validation of the data import include checks for overlapping
Data validation procedures used. intervals, missing survey data, missing and incorrectly recorded
assay data, missing lithological data and missing collars.
Manual checks were carried out by plotting and review of sections
and plans.
Site visits Comment on any site visits undertaken by the The Competent Person Dr Ian Wilson (MIMMM) who is UK-based
Competent Person and the outcome of those was unable to visit the project area due to Covid-19 travel
visits. restrictions. Dr. Andrew Scogings, a consulting geologist
employed by KlipStone Pty Ltd and subcontracted to CSA Global,
If no site visits have been undertaken,
Perth, carried out a one-day site visit during the September 2020
indicate why this is the case.
drilling. Dr Andrew Scogings visited the Welshpool sample
storage facility with Mr Dean de Largie and inspected a selection
of drill chip trays and samples during May 2020.
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Criteria JORC Code explanation Commentary
Geological Confidence in (or conversely, the uncertainty The geological interpretation of the kaolin deposit at White Cloud
interpretation of) the geological interpretation of the is well understood, and the logged lithologies are coherent and is
mineral deposit. traceable over numerous drill holes and drill sections.
Nature of the data used and of any Drillhole intercept logging and assay results have formed the basis
assumptions made. for the geological interpretation.
The grade and lithological interpretation forms the basis for
The effect, if any, of alternative
modelling. Lithological envelopes defining prospective WKG zone
interpretations on Mineral Resource
estimation. within which the grade estimation has been completed.
The deposit is an in-situ kaolin deposit formed by near-surface
The use of geology in guiding and controlling weathering of granitoid rocks. The deposit does not lend itself
Mineral Resource estimation. The factors readily to alternative interpretations, and as such they are unlikely
affecting continuity both of grade and to have a material impact on the results.
geology.
The lithological units are recognised based on mineralogy,
chemistry and colour.
The lithological units are recognised based on mineralogy and
colour.
Resource estimation assumes that these units formed a series of
conformable, sub horizontal, pseudo-stratified, in situ -weathering
units.
Dimensions The extent and variability of the Mineral The mineralised zone extends approximately for 2,600 m in easting
Resource expressed as length (along strike or and ranges between 300 m to 2,400 m in width along northings. The
otherwise), plan width, and depth below average vertical thickness is 11m for WKG. Overburden thickness
surface to the upper and lower limits of the is reasonably consistent 4m to 6m.
Mineral Resource.
Estimation and The nature and appropriateness of the The mineralisation interpretation was extended perpendicular to
modelling estimation technique(s) applied and key the corresponding first and last interpreted cross section to the
techniques assumptions, including treatment of extreme distance equal to a half distance between the adjacent exploration
grade values, domaining, interpolation lines.
parameters and maximum distance of If a mineralised envelope did not extend to the adjacent drill hole
extrapolation from data points. If a computer section, it was pinched out to the next section and terminated. The
assisted estimation method was chosen, general direction and dip of the envelopes was maintained.
include a description of computer software
The size of the parent block used in creating the block model was
and parameters used
selected on the basis of the exploration grid (100 by 200 m), the
The availability of check estimates, previous general morphology of mineralised bodies, and with due regard for
estimates and/or mine production records the geology of the weathering profile and the high vertical grade
and whether the Mineral Resource estimate variability and to avoid creating excessively large block models.
takes appropriate account of such data. The sub-block dimensions were chosen accordingly to maintain
resolution of the mineralised bodies
The assumptions made regarding recovery of
by-products. The block model was constructed using a 50 m E x 50 m N x 5 m RL
parent block size, with subcelling to 10 m E x 10 m N x 1 m RL for
Estimation of deleterious elements or other domain volume resolution.
non-grade variables of economic significance
Input data did not display significant outliers in their distributions
(e.g. sulphur for acid mine drainage
and so no top-cuts were applied.
characterisation).
Grade estimation was by Inverse Distance Weighting (IDW [2] ) using
In the case of block model interpolation, the Micromine 2018 software.
block size in relation to the average sample
Kaolin mineralisation is considered to have formed as a weathering
spacing and the search employed.
product within the regolith horizon, and envelopes as modelled are
Any assumptions behind modelling of constrained by this lithological horizon.
selective mining units. The wireframe objects were used as hard boundaries for grade
Any assumptions about correlation between interpolation.
variables The block model of the deposit with interpolated grades was
validated both visually and by statistical/software methods.
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
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Criteria JORC Code explanation Commentary
to drillhole data, and use of reconciliation
data if available.
Moisture Whether the tonnages are estimated on a dry Tonnages have been estimated on a dry in situ basis. No moisture
basis or with natural moisture, and the values were reviewed.
method of determination of the moisture
content.
Cut-off The basis of the adopted cut-off grade(s) or The grade and tonnages are presented at a cut-off grade of 0% ISO
parameters quality parameters applied. Brightness for elements considered to be important in the choice of
treatment processes (yield <45 µm fraction, Al203, Fe2O3, SiO2,
TiO2).
Mining factors Assumptions made regarding possible mining It is assumed that due to the very shallow / near surface nature of
or assumptions methods, minimum mining dimensions and the deposit, it will be mined by open pit methods.
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.
Metallurgical The basis for assumptions or predictions Process test work was carried out in accordance with kaolin
factors or regarding metallurgical amenability. It is industry standard methods for this type of deposit. For further
assumptions always necessary as part of the process of details see Section 1 of this table under JORC criteria ‘Sub-
determining reasonable prospects for sampling techniques and sample preparation’.
eventual economic extraction to consider 256 down-hole composites were tested and used for the current
potential metallurgical methods, but the Mineral Resource estimation. These tests verified that the WKG
assumptions regarding metallurgical kaolin has a minus 45 micron fraction yield of approximately 40%
treatment processes and parameters made (range ~12-72%). Brightness values had a median of approximately
when reporting Mineral Resources may not 82 (range ~62-89).
always be rigorous. Where this is the case,
this should be reported with an explanation of
the basis of the metallurgical assumptions
made.
Environmental Assumptions made regarding possible waste The deposit is situated under cultivated land that has been cleared
factors or and process residue disposal options. It is of native vegetation, hence no environmental factors or assumptions
assumptions always necessary as part of the process of were made at this stage.
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.
Bulk density Whether assumed or determined. If assumed, CSA Global assigned a density of 1.8 t/m [3] to the WKG zone. This
the basis for the assumptions. If determined, bulk density value was assumed from analogous deposits, from
the method used, whether wet or dry, the various public reports and news releases and industry experience
frequency of the measurements, the nature, of the Competent Person Dr Ian Wilson (MIMMM).
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.),
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Criteria JORC Code explanation Commentary
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 The Mineral Resource was classified as Inferred and Indicated,
Resources into varying confidence categories. taking into account the level of geological understanding of the
deposit, quality of samples, density data, drillhole spacing and
Whether appropriate account has been taken
sampling, analytical and metallurgical processes. Material
of all relevant factors (i.e. relative confidence
classified as Indicated was considered to be sufficiently informed by
in tonnage/grade estimations, reliability of
adequately detailed and reliable geological and sampling data to
input data, confidence in continuity of
assume geological, grade and quality continuity between data
geology and metal values, quality, quantity
and distribution of the data). points. Material classified as Inferred was considered to be
sufficiently informed by geological and sampling data to imply
Whether the result appropriately reflects the geological, grade and quality continuity between data points.
Competent Person’s view of the deposit.
The following classification approach was adopted:
• The resource was classed as Indicated in the areas of the
drilling where the drillhole density was reduced to line spacing
approximately 200 m and hole spacing to 100 m.
• The resource was classed as Inferred in the areas where
the drillhole density exceeded the 200 m by 100 m grid. The
classification reflects the level of data available for the estimate
including input drillhole data spacing, the high level of geological
continuity of the particular style of deposit.
The MRE appropriately reflects the view of the Competent Person.
Audits or The results of any audits or reviews of Internal audits were completed by CSA Global which verified the
reviews Mineral Resource estimates. technical inputs, methodology, parameters and results of the
estimate.
No external audits have been undertaken.
Discussion of Where appropriate, a statement of the The Mineral Resource accuracy is communicated through the
relative relative accuracy and confidence level in the classification assigned to the deposit. The MRE has been classified
accuracy/ Mineral Resource estimate using an in accordance with the JORC Code (2012 Edition) using a
confidence approach or procedure deemed appropriate qualitative approach. All factors that have been considered have
by the Competent Person. For example, the been adequately communicated in Section 1 and Section 3 of this
application of statistical or geostatistical table.
procedures to quantify the relative accuracy The Mineral Resource statement relates to a global estimate of in-
of the resource within stated confidence situ tonnes and grade.
limits, or, if such an approach is not deemed
No mining activity has been conducted on the deposit.
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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