Orsu Metals Announces an Updated Inferred Mineral Resource at Its Sergeevskoe Gold Project, Russia

COG

Tonnes (Mt)

Grade (g/t Au)

Contained Metal (Au ‘000 oz)

0.0*

30.59

1.45

1,426

0.4

30.49

1.45

1,418

0.5

30.42

1.45

1,417

0.6

28.75

1.50

1,387

0.7

25.56

1.61

1,320

0.8

22.13

1.74

1,238

*- All Mineralisation within Wireframe Model

Gold Price

Mineralized Material (Mt)

Waste (Mt)

Au (g/t)

Gold, Moz

US$1,350

30.07

283.56

1.45

1.402

US$1,450

30.42

293.94

1.45

1.417

US$1,550

30.73

303.23

1.45

1.429

Criteria

JORC Code explanation

Commentary

Sampling techniques

• Nature and quality of sampling (eg cut channels, random chips, or specific specialised industry standard measurement tools appropriate to the minerals under investigation, such as down hole gamma sondes, or handheld XRF instruments, etc). These examples should not be taken as limiting the broad meaning of sampling.
• Include reference to measures taken to ensure sample representivity and the appropriate calibration of any measurement tools or systems used.
• Aspects of the determination of mineralisation that are Material to the Public Report.
• In cases where ‘industry standard' work has been done this would be relatively simple (eg ‘reverse circulation drilling was used to obtain 1 m samples from which 3 kg was pulverised to produce a 30 g charge for fire assay'). In other cases more explanation may be required, such as where there is coarse gold that has inherent sampling problems. Unusual commodities or mineralisation types (eg submarine nodules) may warrant disclosure of detailed information.

• Sampling was predominantly carried out using a combination of diamond core and trench channel.

Drilling Campaign 2017-2019

• Diamond drilling was used to obtain predominantly 1.0m samples (minimum length 0.25m to a maximum of 3.00m) that were subsequently cut in half along its length to produce half core for sample preparation (crushing/pulverising) to produce a sample for laboratory analysis.

Trenching

• Trenching was used to obtain predominately 1.0 samples (minimum length 0.10m to maximum a 2.00m). The entire material was used for sample preparation (crushing/pulverising) to produce a sample for laboratory analysis.

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).

• Drilling at Sergeevskoe has included diamond drilling only.
• In the majority of drillholes the core was oriented at the commencement of every run to allow structural measurements to be made and all holes are subject to down-hole survey at generally 20.0m intervals.
• Data from HQ (63.5mm) and NQ (47.6mm) wireline diamond drillholes is used for interpretation and grade estimation.
• The main drill campaigns at Sergeevskoe have taken place in 2017-2018. A further 14 drillholes (for 3,555.45m) was completed in 2019.
• A total of 96 diamond holes had been drilled for 20,660m.

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.

• WAI is not aware of any specific measures taken to reduce losses through drilling or that any drilling campaign suffered from poor recovery.
• Diamond drill recovery averages 95%.
• Due to good drilling practices followed at Sergeevskoe samples are considered homogenous and representative.
• No apparent relationship is observed between sample recovery and grade.

Logging

• Whether core and chip samples have been geologically and geotechnically logged to a level of detail to support appropriate Mineral Resource estimation, mining studies and metallurgical studies.
• Whether logging is qualitative or quantitative in nature. Core (or costean, channel, etc) photography.
• The total length and percentage of the relevant intersections logged.

• Core was logged on site by company geological personnel using a standardised logging convention, to a level sufficient to support geological interpretation, modelling, and subsequent mineral resource estimation.
• Core was geologically logged including a description of lithology, alteration/weathering, major structures, mineralisation, and veining, hence was performed on a qualitative basis.
• Core was logged manually before transfer to an electronic system using Excel spreadsheets.
• Rock Quality Designation (RQD) measurements were also completed by the field geologists.

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.

• Sample preparation has followed standard industry practices:
• Diamond drill core was cut lengthways along its long axis with half core used for subsequent sampling and the other half retained for reference purposes.
• Sample preparation for Sergeevskoe has predominantly been carried out by SGS lab (Chita), Russia. The sample preparation flowsheet generally comprised:
• Drying at 105°C;
• Samples crushed and pulverised, note every 50^th sample screened to ensure satisfactory crushing; and
• Pulp sample produced for assay analysis.
• The sample preparation techniques at Sergeevskoe has carried out by SGS lab and has followed recognised industry standards and are deemed appropriate.
• Sub-sampling quality control has been maintained through use of company SOP's being adopted to ensure consistency by following a standard set of practices throughout the process.
• The use of duplicate sample analysis has been used throughout the drill campaign at Sergeevskoe in order to monitor precision and reproducibility.

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.

• No geophysical or portable analysis tools were used to determine assay values stored in the database. Handheld XRF machine was only used as a guide while drilling and readings have not been included in review of the data.
• For the diamond drill samples and for trench channel samples QC results (blank, duplicates, standards) were in line with commercial procedures, reproducibility and accuracy. Standard (CRM) samples were initially obtained from Geostats Pty Ltd (Australia).
• Sample preparation and analysis was carried out in SGS lab (Chita). Analysis was conducted for Au and Ag using FA with AA finishing for gold and AA with ICP ending for silver;
• Blank sample results show no significant contamination issues and the assays of the laboratory standards, which cover a range of metal values for each of Cu show no bias.
• No systematic bias appears to be present in results.
• The quality control and assurance data reviewed by the QP indicates the assays are generally within expected limits. The QP is satisfied the quality assurance and control data is sufficient to support the Mineral Resource classification presented herein.

Verification of sampling and assaying

• The verification of significant intersections by either independent or alternative company personnel.
• The use of twinned holes.
• Documentation of primary data, data entry procedures, data verification, data storage (physical and electronic) protocols.
• Discuss any adjustment to assay data.

• All work has been supervised by senior technical staff.
• The Competent Person has verified the data based on information provided by Orsu Metals and through site visits.
• Significant intersections have not been verified by either independent or alternate company personnel.
• Logging data in the first instance was recorded by hand to form documentation for each hole that includes collar and down hole survey information and assay information once available. This information is transferred to an electronic database.
• WAI completed a number of checks on the raw data and data entry process. Based on the verification work completed, WAI is confident that the compiled database is an accurate reflection of the available drilling data.
• No adjustments to assay data have been made.
• WAI visited the site in 2016 and 2018, and whilst drilling and sampling was being undertaken at the time the visit WAI was able to review the procedures followed and the results obtained.

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.

• All data was supplied in the World Geodetic System 1984, Zone 50 Northern Hemisphere (UTM).
• Collar positions for all holes were laid out by the on-site surveyor using a differential GPS and then checked again once drilling was completed.
• Downhole surveys were carried out for all of the diamond drillholes.
• Topographic surveys were conducted in 2017, and that being used for the current Mineral Resource Estimate.
• The small differences between the GPS readings and the topographical survey data do not influence the mineralisation widths.

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.

• Data spacing is down to 40m x 40m in a few places, though is generally between 60m and 100m, and is sufficient to establish geological and mineralisation continuity appropriate for the reporting of Mineral Resources.
• Mineral Resources are classified as Inferred in accordance with the guidelines of the JORC Code (2012), and through geostatistical analysis considering the spatial distribution of sample data.
• Sample compositing was carried out as part of the mineral resource estimation process.
• The diamond drill and trench data spacing is deemed by the QP to be sufficient to imply/confirm geological and grade continuity, sufficient for the classification of Inferred resources only.
• The average length of the samples is 1.10m therefore the composite length of 1.0m was chosen.

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.

• In general drilling is carried out so that the intersections of holes with mineralised zones occurs at a high angle which results in limited sample bias.
• The basis of the geological model in difference domain is broadly:
• Domains 100 and 200 - south-west to south east striking;
• Domains 300, 500 and 900 north-west striking;
• Domain 800 - south-east striking;
• Domains 600, 700 and 1000 east-west striking.
• Sub-vertical steeply dipping mineralisation zone hence drilling is generally inclined at -60° towards the strike of the zones.
• Intercepts are reported as apparent thicknesses except where otherwise stated.

Sample security

• The measures taken to ensure sample security.

• Samples were transported regularly (typically weekly during the drilling campaigns) by commercial carrier to SGS lab in Chita in sealed bags.
• After preparation in the field, samples were packed into bags and dispatched to the freight forwarders directly by the Company. All bags were transported by the Company directly to the sample preparation/assay laboratory. The assay laboratory audits the samples on arrival and reports any discrepancies back to the Company.
• Sample security was managed by the Company. The QP was not able to inspect the sample dispatches and relies on the Company's representative to ensure that no discrepancies occurred, and the chain of custody is acceptable.

Audits or reviews

• The results of any audits or reviews of sampling techniques and data.

• The QP has visited the Sergeevskoe Property in 2016 and 2018 and reviewed the sampling techniques with Company personnel.
• The QP considers that the sampling technique and data obtained is satisfactory and suitable for use in the subsequent Mineral Resource Estimate.

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 license to operate in the area.

• The Sergeevskoe license is located in eastern part of Zabaikal Region, Russia, some 440km of Chita city, the region capital, and centred on coordinates 53°32'N, 116°25.5'E.
• LLC SC "Alexandrovskoe", a subsidiary of Sibzoloto Investments Limited ("Sibzoloto"), a Cyprus registered company and the sole owner of LLC GK Alexandrovskoe.
• The license was issued on 31 December 2013 and it is valid until 31 December 2031.
• Orsu acquired privately owned Sibzoloto on 18 May 2017 in a share and cash transaction. Orsu currently owns 90% share in Sibzoloto.
• The Sergeevskoe license covers an area of 7.6 km².
• The QP is not aware of any known impediments to obtaining and maintaining a licence to operate the Sergeevskoe Project.
• The QP has relied on the information provided by Orsu Metals that the tenement is in good standing and all fees are paid.

Exploration done by other parties

• Acknowledgment and appraisal of exploration by other parties.

• Sergeevskoe is brownfield site, the previous works have included soil-geochemistry and sampling at 1:10,000 scale as well as different ground and airborne geophysical survey methods.
• Prospecting/exploration activities include surface trenching, restricted amount of drilling and underground developments (shallow shafts and adits with cross-cuts).
• Predominately the exploration activity was between 1960s-1970s as part of prospecting at the nearest vicinities of Kluchevskoe Gold Deposit, immediately to the east of the Sergeevskoe license boundary. The work was then carried out by state-owned geological enterprises.

Geology

• Deposit type, geological setting and style of mineralisation.

• Sergeevskoe Property is part of Davenda-Kluchevskoe metallogenic zone. More than 60% of Sergeevskoe area is occupied by the early Jurassic Dvenda intrusion of the Amanan intrusion complex which is represented by biotite-hornblende diorite, diorite, quartz diorite, granite and porphyry granite. Proterozoic granitoid occupies the northern part of the area. The intrusive rock is represented by biotite granite, granite-diorite and migmatite. The contact of the Davenda intrusion and Proterozoic granitoid has a northeast strike.
• The mineralisation occurs on north-western exo- and endocontact of Proterozoic intrusion where it is coincided with Jurassic intrusions.
• Mineralisation is controlled by Shirotnyi (main east-west fault at Kluchevskoe deposit) and Alekseevsko-Glubokinskiy faults. The mineralisation is located within the dextral strike-slip duplex tectonic structures formed by these faults.
• Mineralisation is accompanied by alteration represented by silicification, potassic alteration, berezitisation, tourmalinisation, pyritization and other alteration.
• Mineralised zones are grouped into several domains of predominately east-west, north-west and south-south-west strike.
• The mineralised structures are sub-vertical.

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.

• Exploration data held in the database and used in the mineral resource estimate can be summarised as follows:

• Number of drillholes - 96;
• Number of trenches - 62;
• East collar ranges - 20,658292m to 20,659,859m
• North collar ranges - 5,936,321m to 5,937,216m
• Collar elevation ranges - 928.5m to 1,091.8.6m
• Azimuth ranges - 0° to 360°
• Dip ranges - 50° to -90°
• Length of holes/trenches - 8m to 500m

• The data of drillholes SDH18-56 and trench STR19-55 were not included in the MRE as mineralised intervals cannot reliably linked/interpreted with other intersections..
• Both diamond drillhole and trench information and assay results were used in the Mineral Resource Estimation.

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 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.

• Top cutting was used during the mineral resource estimation process to reduce the potential for outlier grades to have an overbearing effect on estimated block grades. Top-cutting is based on decile analysis and log probability graphs for all zones and applied to Au and Ag (detailed in the main body of the text).
• No metal equivalent equations were used during the mineral resource estimation procedure or reporting.
• Samples were composited to 1m lengths during the mineral resource estimation procedure to ensure a consistent level of support during the estimation process.

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 nature of the main zones of mineralisation at Sergeevskoe is well recognised as being steeply dipping narrow vein structures.
• In general drilling is carried out so that the intersections of holes with mineralised zones occurs at a high angle to minimise sample bias.
• Down hole length reflects drilled meters not the true width of the mineralised structures.

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 data tabulations, plans and sections showing the nature of the mineralisation, exploration and final mineral resource estimate are included in the main body of the report.

Balanced reporting

• Where comprehensive reporting of all Exploration Results is not practicable, representative reporting of both low and high grades and/or widths should be practiced to avoid misleading reporting of Exploration Results.

• Individual exploration results are not being reported. This section is not considered relevant to the overall reporting of the mineral resource estimate.
• 95 diamond drillholes and 61 trenches have been used for the current Mineral Resource Estimate.

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.

• Metallurgical testwork was used to define recovery factors during pit optimisation used as a basis for limiting potential Mineral Resources based on the expectation of economic extraction.
• Geotechnical data of adjacent Kluchevskoe deposit was used at Sergeevskoe.
• Density measurement was completed on 97 samples for oxide material and 203 samples for primary material.

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.

• Over the next 12 months, Orsu will be focussed on upgrading the current resource base through a targeted RC drilling (circa 3,000m) and infill drilling (circa 3,500m) programme. Subject to positive results, these results will be used for the planned pilot mining and metallurgical testwork at the processing plant.
• Mineralisation is open along strike toward the west and north-west as well as down dip.
• Appropriate plans and sections are included in the main body of the report.

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.

• Historical data are completely excluded from the mineral resource database.
• The project database is held in .csv and Datamine format files. Data held includes; collar location, downhole surveys, assay information, lithology and oxidation. Also held in Microsoft Excel spreadsheets is information on duplicate samples and certified reference materials.
• Access to the Sergeevskoe drilling/trenching database used for resource estimation is restricted to geological and selected technical staff.
• WAI completed a number of checks on the raw data supplied by Orsu Metals and is satisfied that the data does not contain significant errors nor has it been corrupted.
• Validation of the database was carried out during import of the data in to Datamine Studio 3 for production of the mineral resource estimate, no major issues were found with duplicate or overlapping samples.

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 Qualified Person (Dr Phil Newall) visited the site between the 2 and 3 November 2016 and between 5 and 7 June 2018.
• The site visit included inspection of the Orsu drilling and trenching operations, and discussions with on-site technical and geological staff to verify the database, geological model and resource estimation.

Geological interpretation

• Confidence in (or conversely, the uncertainty of) the geological interpretation of the mineral deposit.
• Nature of the data used and of any assumptions made.
• The effect, if any, of alternative interpretations on Mineral Resource estimation.
• The use of geology in guiding and controlling Mineral Resource estimation.
• The factors affecting continuity both of grade and geology.

• Grade estimation for Sergeevskoe uses diamond drilling and trench sampling only.
• The confidence in the geological interpretation is deemed good. Exploration drilling has been carried out on a grid down to 40m x 40m, though more typically between 60m and 100m, and geological logging is comprehensive.
• Geological logging has been carried out from drill core samples and in trenches and used to aid definition of mineralised domains within the overall resource model.
• The wireframes used to constrain the block model and grade interpolation were constructed based on Orsu's understanding of the geology, mineralisation, and alteration of the Sergeevskoe deposit.
• Namely, the resource model reflects the interpretation of an east-west, north-west and south-west orientated multi-vein system (zones) reflecting areas of elevated mineralisation.

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 mineralisation is split on a few domains which have east-west, north-west and south-west strike. The overall mineralisation dimension is ≈1,650m in east-west direction and ≈1,050m from south to north.
• The current mineral resource is constrained by an optimised open pit with a strike length of 1,300m, width of 1,080m at the crest, and a maximum depth of pit = 440m (measured from northern highwall to the pit bottom).
• The unconstrained block model has a maximum depth of mineralisation to 500m from the surface.

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.

• Multiple domains were created to represent each of the mineralised structures (zones).
• DTM surfaces were created to represent the topographical surface, overburden material and base of oxide/primary material.
• A block model was created using the geological and mineralised zone wireframes as boundaries. A parent block size of 10m (X) x 10m (Y) x 10m (Z) was used in the block model with key fields established for geological and mineralised domains. Additional key fields were established to denote oxide and fresh rock domains.
• Grade capping: Grade capping was carried out to stop local overestimation of grade from high-grade outlier samples. Grade capping was used for all variables on a zone by zone basis where outlier grades were identified using a combination of decile analysis and a review of log-probability plots.
• Composites: A 1m composite length was chosen to ensure consistent sample support during estimation. Composites were limited to the boundaries of mineralised domains.
• Variography: A variographic study by domain identified reasonably robust variogram models for Au across seven domains.
• Estimation: Estimation was carried out using Inverse distance (squared) as the primary method. Ordinary Kriging estimate was carried out for validation purposes. Only composite samples within an individual zone were used for estimation of that zone. Estimation parameters were based on models of grade continuity produced during geostatistical analysis. Dynamic anisotropy was used to change orientations of search ellipses based on local variations of dip and strike. Minimum and maximum sample criteria, an octant search restriction and restrictions of number of composite samples from a single drillhole were employed during grade estimation to assist with declustering and to reduce local grade bias. A multiple pass estimation as carried out with expanding search ellipses and less restrictive estimation parameters for estimating blocks in more poorly sampled areas.
• Estimation was carried out into parent cells only to reduce risk of conditional bias. Estimation was carried out using a discretisation of five points in each dimension.
• The block model was verified first by comparing drillhole composite sample values with estimated block values on a sectional and plan basis. Grade comparison was also carried out statistically by zone to ensure the global grade estimate was unbiased. Grade profile (swath) plots were also constructed to compare modelled grades and input composite grades in slices or varying width. During this process a comparison was made between declustered and clustered data to identify any possible local bias introduced by irregular grade spacing.
• No estimation of deleterious components was carried out.
• The estimated block model was validated by visual inspection of block grades in comparison with drillhole data, and comparison of the block model statistics.

Moisture

• Whether the tonnages are estimated on a dry basis or with natural moisture, and the method of determination of the moisture content.

• All tonnages are reported as dry tonnages.
• Moisture content has been measured using weighing waxed samples and dried ones.

Cut-off parameters

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

• Mineralised zones are defined at a natural cut-off grade of 0.5g/t Au.
• The mineral resource estimate is restricted to material falling within an NPV Scheduler optimised pit shell as described below in "Mining factors or assumptions", and above a cut-off grade representing breakeven cut-off grade derived from open pit optimisation parameters for each zone (Oxide and Fresh).

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.

• The Project is deemed to be appropriate to being mined by the continuation of standard open pit mining operations.
• Reporting of mineral resources suitable for open pit extraction were limited by the creation of an optimised open pit shell in NPV Scheduler. The pit shell was created with the following major parameters:

• Gold price of US$1,450/oz
• Oxide mineralisation mining cost of US$1.2/t
• Primary mineralisation mining cost of US$1.5/t
• Waste mining cost of US$1.2/t
• Overburden mining cost of US$1.0/t
• Total processing cost of US$8.0/t
• G&A cost of US$1.5/t
• Royalty cost of US$6.0/t
• Processing recovery for Oxide of 93.0% and for Primary of 85.0%
• Slope angle between 51°
• Mining dilution of 0% and mining losses of 0%

Metallurgical factors or assumptions

• The basis for assumptions or predictions regarding metallurgical amenability. It is always necessary as part of the process of determining reasonable prospects for eventual economic extraction to consider potential metallurgical methods, but the assumptions regarding metallurgical treatment processes and parameters made when reporting Mineral Resources may not always be rigorous. Where this is the case, this should be reported with an explanation of the basis of the metallurgical assumptions made.

• Metallurgical recovery was utilised during the construction of an optimised pit shell used for limiting mineral resources based on an expectation of eventual economic extraction.
• Metallurgical recovery is based on the limited initial metallurgical testwok carried out in 2017 and 2018.

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.

• WAI is unaware of any environmental factors which would preclude the reporting of Mineral Resources.

Bulk density

• Whether assumed or determined. If assumed, the basis for the assumptions. If determined, the method used, whether wet or dry, the frequency of the measurements, the nature, size and representativeness of the samples.
• The bulk density for bulk material must have been measured by methods that adequately account for void spaces (vugs, porosity, etc), moisture and differences between rock and alteration zones within the deposit.
• Discuss assumptions for bulk density estimates used in the evaluation process of the different materials.

• Density measurements have been taken for oxide and primary material with respect to natural moisture.
• A total of 97 density measurements have been taken for oxide material and 203 measurements for primary material.
• Measurements were made using the Archimedes water immersion method, the results were recorded and imported into Excel spreadsheet.
• Density was assigned to the block model during the Mineral Resource estimation by applying the mean values for oxide material and following formula for primary material:

Density = - 0.00072 x (Au g/t)² + 0.1363 x (Au g/t) +2.6687

• Moisture content was measured and applied for oxide and primary material.

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.

• Mineral Resource classification in accordance with the guidelines of the JORC Code (2012).
• Sergeevskoe Gold Project is considered to be at an early stage of development, based on limited exploration data, and that the interpretation of the mineralisation is largely based on assumed geological/structural features of the deposit rather than on the existing mineralised intercepts. Furthermore, there is no robust definition of oxide/primary mineralisation based on the appropriative assay data and/or metallurgical testwork and as such the resources are reported of Inferred category only.
• The mineral resource estimate classification reflects the Competent Person's view of the Sergeevskoe Project.
• Mineral Resources were limited using an optimised pit shell using parameters as laid out in the main section of the report and as described in "Mining factors and assumptions" above.
• The mineral resource estimate has been limited to the surveyed surface as detailed in the main report.

Audits or reviews

• The results of any audits or reviews of Mineral Resource estimates.

• WAI is not aware of any audits or reviews of this Mineral Resource Estimate other than internal peer review.

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 relative accuracy and confidence in the mineral resource estimate is reflected in the reporting of the mineral resource as set out in the JORC Code (2012)
• The statement relates to global estimates of tonnes and grade.
• The classification applied to the mineral resource estimate is based upon; confidence of continuity of mineralisation, quality of data (QA/QC) and validation of the block model.