REG - Andrada Mining Ltd - Uis Mine Mineral Resource Expansion
23/01/2023 07:00
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RNS Number : 4721N Andrada Mining Limited 23 January 2023
23 January 2023
The information contained within this announcement is deemed by the Company to
constitute inside information as stipulated under the Market Abuse Regulations
(EU) No. 596/2014 (MAR) as in force in the United Kingdom pursuant to the
European Union (Withdrawal) Act 2018. Upon the publication of this
announcement via Regulatory Information Service (RIS), this inside information
is now considered to be in the public domain.
Andrada Mining Limited
("Andrada" or the "Company")
Uis Mine Mineral Resource Expansion
Additional Inferred Mineral Resource Estimate ("MRE") for Tin
Andrada Mining Limited (AIM: ATM), an African technology metals mining company
with a portfolio of mining and exploration assets in Namibia, announces an
inferred, JORC (2012), MRE for tin over 11 historically mined pegmatite bodies
located close to the actively mined V1/V2 pegmatite at the Uis Mine. These 11
pegmatites have been collectively termed the Proximal Pegmatites and are
located within a 3 km radius from the existing processing plant.
Highlights:
§ The V1/V2 pegmatite, as well as the Proximal Pegmatites are located within
the mining licence ML134 as part of a swarm comprising more than 180
mineralised pegmatites;
§ The maiden MRE announced on 16 September 2019, of 71.54 Mt of ore over the
V1/V2 pegmatite, was based on information derived from 141 historical and 26
confirmatory drill holes;
§ An additional inferred MRE for tin over the Proximal Pegmatites, derived
from a further 809 historical drill holes, comprises 57.18 Mt of ore with an
average grade of 0.131% tin, and containing 74,857 tonnes of tin metal has now
been completed;
§ The historical drill hole information further indicates that the Proximal
Pegmatites remain open-ended at depth; and
§ Andrada is embarking on a confirmatory drilling programme to improve the
tin resource classification and to evaluate lithium and tantalum potential of
the Proximal Pegmatites.
Anthony Viljoen (CEO) commented: "The declaration of this inferred resource,
using the historical drill data from the Uis Mine, significantly advances the
total Andrada mineral inventory towards management's internal mineral resource
target of at least 200 Mt of mineralisation. These additional pegmatites,
together with the mineral resource at the V1/V2 orebody, provide an entire
resource portfolio of approximately 128 Mt of ore with a gross combined
content of 170 kt of tin, making Andrada the owner of one of the largest tin
assets globally. Furthermore, through our demonstrated ability to rapidly and
profitably scale up production at the existing operations at the Uis mine, we
believe Andrada has the ability to compound the Company's economies of scale
and position the company as one of the lowest cost tech-metal producers in the
next five years.
The existing mineral reserve, that is currently being mined, as well as the
ongoing infill drilling programme over the entire mining licence have also
shown the potential of lithium mineralisation contained within the same
pegmatites. Andrada looks forward to completing the work required to bring the
lithium into production, as well as expanding the infill drilling programme to
explore the huge opportunity that the Lithium presents as a co-product revenue
stream with the tin operation in the coming months. Further announcements on
this will be made in due course."
Locality
The mining licence ML134 hosts the Uis Mine. The Uis town is located
approximately 200 km northeast of the port of Walvis Bay in Namibia (Figure
1).
Figure 1: Andrada's Uis Mine and mineral licence locality map showing the
position of ML134.
Background
The mining licence of the Uis Mine (ML134) comprises a swarm of more than 180
pegmatites. The historical Uis Mine focused on 12 of these pegmatites which
were mined by open cast methods before operations were halted in 1990. During
that time a comprehensive exploration drilling programme was undertaken,
resulting in an extensive database with tin analyses. The 12 pegmatites are
grouped into three clusters, namely K, P, and V, as illustrated in Figure
2.
Figure 2: Map of the Proximal Pegmatites depicting modelled clusters.
MRE - V1/V2 Pegmatite
On 16 September 2019 the Company announced a maiden MRE comprising 71.54 Mt of
ore over one of the 12 pegmatites, namely the combined V1/V2 pegmatite. The
MRE was derived from 141 historical drill holes and 26 confirmatory holes
drilled by Andrada during 2019.
MRE - Proximal Pegmatites
The balance of the historically mined pegmatites have been incorporated into
this report, based on a further 809 historical drill holes. Minxcon (Pty) Ltd
("Minxcon"), a leading exploration consultancy, was appointed to undertake the
compilation of the tin block model over the mineralised Proximal Pegmatites.
Mineralised envelopes were modelled using lithological logs sourced from the
surface drillholes and surface mapping of geological contacts.
The wireframes were clipped to the drillhole data and extended along
interpreted strike and down-dip extensions. The mineralised envelopes were
modelled to define moderate (30°) to steeply (70°) dipping pegmatitic zones
which occur within the K, P and V clusters. Individual clusters are
characterised by one or two dominant pegmatites, with numerous associated
splay pegmatites. Strikes vary from east-west to southwest-northeast, with
variable dips within the same cluster.
Geological, and geostatistical domains were delineated based on lithological
contacts. Each modelled pegmatite was treated as a separate domain. Selected
one-metre sample composites from within the modelled mineralised envelopes,
defined the final dataset used for the geostatistical analysis and block model
estimation. The mineral resource estimates are spatially coincident, with
mineralisation confined to the pegmatite contacts. The pit shell definition
was based on an average tin price of USD 30,000/t with ore losses and mining
dilution set at 2%. The assumed pit slope angles and metallurgical recovery
for Sn were 55° and 64% respectively. Mining, treatment, G&A and selling
cost parameters were provided by Andrada and approved by Minxcon. The open pit
Mineral Resource figures are stated at a cut-off grade of 0.03% Sn.
Table 1: Andrada Mining tin (Sn) Mineral Resource Estimate (JORC 2012) for the
Uis Proximal Pegmatites at a cut-off grade of 0.03% Sn.
Classification Gross Net Attributable (85%*)
Tonnage (Mt) Grade Contained Metal (t) Tonnage (Mt) Grade Contained Metal (t) Operator
(% Sn) (% Sn)
Tin (Sn)
Proximal Pegmatites Measured Resource - - - - - -
Proximal Pegmatites Indicated Resource - - - - - -
Proximal Pegmatites Inferred Resource 57.18 0.131 74,857 48.60 0.131 63,628 Andrada Mining
Total Proximal Pegmatite Resource 57.18 0.131 74,857 48.60 0.131 63,628 Andrada Mining
Source columns 1-4: Minxcon, Source columns 5-8: Andrada Mining
Note: Tabulated data have been rounded off and this may result in minor
computational errors.
* Andrada has an attributable ownership of 85% in ML134 with the remaining 15%
owned by The Small Miners of Uis (local shareholders)
Figure 3: Plan view of the drillhole collars and drillhole assay data for the
Uis Proximal Pegmatites (source: Minxcon).
Table 2: Andrada Mining tin (Sn) Inferred Mineral Resource Estimates (JORC
2012) for the individual Uis Proximal Pegmatites at a cut-off grade of 0.03%
Sn.
Pegmatite Gross Net Attributable (85%*)
Tonnage (Mt) Grade (% Sn) Contained Metal (t) Tonnage (Mt) Grade (% Sn) Contained Metal (t) Operator
K Cluster
K3 5.66 0.133 7,503 4.81 0.133 6,378 Andrada Mining
K3_1 1.47 0.115 1,694 1.25 0.115 140
K3_2 0.24 0.113 268 0.20 0.113 228
K3_3 0.49 0.110 535 0.42 0.110 455
K3_5 0.29 0.116 340 0.25 0.116 289
K5 18.58 0.139 25,910 15.79 0.139 22,024
K5_5 0.15 0.136 204 0.13 0.136 173
K7 0.83 0.137 1,140 0.71 0.137 969
K10 0.23 0.116 269 0.20 0.116 229
K10_1 0.32 0.118 382 0.27 0.118 325
P Cluster
P4 0.14 0.110 160 0.12 0.110 136 Andrada Mining
P4_2 0.32 0.129 417 0.27 0.129 354
P5 1.83 0.127 2,319 1.56 0.127 1,971
P6 1.05 0.125 1,320 0.89 0.125 1,122
P6_1 0.21 0.107 228 0.18 0.107 194
V Cluster
V4 0.81 0.104 845 0.69 0.104 718 Andrada Mining
V4_2 0.42 0.093 385 0.36 0.093 327
V4_3 0.11 0.093 103 0.09 0.093 88
V5 1.97 0.116 2,283 1.67 0.116 1,941
V5_1 0.04 0.098 41 0.03 0.098 35
V5_2 0.00 0.089 4 0 0.089 3
V12 11.44 0.133 15,259 9.72 0.133 12,970
V12_1 0.55 0.125 690 0.47 0.125 587
V12_2 1.41 0.098 1,386 1.20 0.098 1,178
V12_3 0.21 0.126 262 0.18 0.126 223
V12_4 0.01 0.080 9 0.01 0.080 8
V13 3.91 0.133 5,192 3.32 0.133 4,413
V13_1 0.36 0.128 457 0.31 0.128 388
V13_2 4.07 0.128 5,189 3.46 0.128 4,411
V13_3 0.04 0.150 63 0.03 0.150 54
Total Proximal Pegmatite Inferred Resource 57.18 0.131% Sn 74,857 48.60 0.131% Sn 63,628 Andrada Mining
Source columns 1-4: Minxcon; Source columns 5-8: Andrada Mining
Note: Tabulated data have been rounded off and this may result in minor
computational errors.
* Andrada has an attributable ownership of 85% in ML134 with the remaining 15%
owned by The Small Miners of Uis (local shareholders)
Figure 4: Oblique view of the drillhole collars and drillhole assay data for
the Uis Proximal Pegmatites (source: Minxcon).
Although the historical data has a lower confidence due to the absence of
physical core, it is deemed sufficiently reliable by the Competent Person to
allow the declaration of an Inferred Mineral Resource. The historical
drillhole database has sufficient data density (with a 25m to 50m grid
spacing) to allow for the estimation of a Measured or Indicated Mineral
Resource if the requisite QAQC constraints are in place and a confirmatory
drilling programme is undertaken. The Company carried out a confirmatory
drilling programme in 2018/2019 on the V1/V2 and determined that the
historical ISCOR drillhole data correlates well with the recent check
sampling. Accordingly, a Measured, Indicated and Inferred Mineral Resource
Estimate was declared in 2019 for the V1/V2 pegmatite by CSA Global (see
announcement dated 16 September 2019).
[Note: JORC Table 1, Section 1 (Sampling Techniques and Data), Section 2
(Reporting of Exploration Results) and Section 3 (Estimation and Reporting of
Mineral Resources), is included in Appendix 1]
Competent Person Statement
The technical data in this announcement has been reviewed by Uwe Engelmann of
Minxcon, who provides consulting services to Andrada. Uwe Engelmann has 24
years of industry-related mining and exploration experience and is a Competent
Person for the reporting of Mineral Resources. He is a registered Professional
Natural Scientist with the South African Council for Natural Scientific
Professions (Pr.Sci.Nat. Reg. No. 400058/08) and is a Fellow of the Geological
Society of South Africa. He has reviewed the technical disclosures in this
release and undertook the Mineral Resource Estimation and classification for
tin for the proximal pegmatites. The Competent Person is independent of
Andrada Mining Limited and its subsidiaries.
Glossary of Abbreviations
Sn Elemental symbol for tin
JORC The Australasian Code for Reporting of Exploration Results, Mineral Resources
and Ore Reserves
Mt Million tonnes
ppm Parts per million
T Metric tonnes
SMU Small Miners of Uis
ATM Ticker for Andrada Mining Limited
Glossary of Technical Terms
Cut-off Grade The grade above which Mineral Resources have been reported in order to satisfy
the requirements for reasonable prospects of eventual economic extraction
Geological Model The interpretation of mineralisation and geology that controls mineralisation.
This is usually generated in a three-dimensional computer environment.
Geostatistics A branch of statistics focussing on spatial datasets and relating to the
estimation of elemental grades over a spatially modelled orebody
Indicated Mineral Resource The part of a Mineral Resource for which quantity, grade, quality, etc., can
be estimated with a level of confidence sufficient to allow the appropriate
application of technical and economic parameters, to support mine planning and
evaluation of economic viability
Inferred Mineral Resource The part of a Mineral Resource for which quantity and grade or quality can be
estimated on the basis of geological evidence and limited sampling and
reasonably assumed, but not verified, geological and grade continuity
Measured Mineral Resource The part of a Mineral Resource for which quantity, grade or quality, etc., are
well enough established that they can be estimated with confidence sufficient
to allow the appropriate application of technical parameters to support
production planning and evaluation of economic viability
Mineral Resources Mineral Resources are sub-divided, in order of increasing geological
confidence, into Inferred, Indicated and Measured categories.
An Inferred Mineral Resource has a lower level of confidence than that applied
to an Indicated Mineral Resource.
An Indicated Mineral Resource has a higher level of confidence than an
Inferred Mineral Resource but has a lower level of confidence than a Measured
Mineral Resource
Modifying Factors Considerations used to convert Mineral Resources to Ore Reserves. These
include, but are not restricted to, mining, processing, metallurgical,
infrastructure, economic, marketing, legal, environmental, social and
governmental factors.
Pegmatite An igneous rock typically of granitic composition, that is distinguished from
other igneous rocks by the extremely coarse and systematically variable size
of its crystals, or by an abundance of crystals with skeletal, graphic, or
other strongly directional growth habits, or by a prominent spatial zonation
of mineral assemblages, including monomineralic zones
For further information please visit the Company's website:
www.andradamining.com (http://www.andradamining.com) or contact:
Andrada Mining Limited +27 (11) 268 6555
Anthony Viljoen, CEO
Sakhile Ndlovu, Head of Investor Relations
Nominated Adviser +44 (0) 207 220 1666
WH Ireland Limited
Katy Mitchell
Corporate Advisor and Joint Broker
H&P Advisory Limited +44 (0) 20 7907 8500
Andrew Chubb
Jay Ashfield
Nilesh Patel
Stifel Nicolaus Europe Limited +44 (0) 20 7710 7600
Ashton Clanfield
Callum Stewart
Varun Talwar
Tavistock Financial PR (United Kingdom) +44 (0) 207 920 3150
Emily Moss
Catherine Drummond
Adam Baynes
____________________________________________________________________________________________________
Appendix 1 - JORC (2012) Table 1
SECTION 1: SAMPLING TECHNIQUES AND DATA
Criteria Explanation Detail
Sampling techniques Nature and quality of sampling (e.g., cut channels, random chips, or specific Historical drillhole data (inclusive of diamond and percussion (RC)) exists
specialised industry standard measurement tools appropriate to the minerals but limited information is available relating to historical sampling
under investigation, such as down hole gamma sondes, or handheld XRF techniques and standards utilised by previous operators on the Project Areas.
instruments, etc.). These examples should not be taken as limiting the broad The historical drillhole data has no accompanying assay QAQC, however this
meaning of sampling. fact is considered in allocation of Mineral Resource classification during
modelling. According to historical literature the percussion (RC) samples were
taken via a cyclone in 1 m increments.
Include reference to measures taken to ensure sample representivity and the No information pertaining to sampling data information was available for
appropriate calibration of any measurement tools or systems used. Minxcon to review.
Aspects of the determination of mineralisation that are Material to the Public No information pertaining to sampling information was available for Minxcon to
Report. In cases where 'industry standard' work has been done this would be review. However, according to historical ISCOR documentation the percussion
relatively simple (e.g., 'reverse circulation drilling was used to obtain 1 m (RC) samples were taken via a cyclone in 1 m increments. Information with
samples from which 3 kg was pulverised to produce a 30 g charge for fire respect to possible diamond drilling is not available.
assay'). In other cases, more explanation may be required, such as where there
is coarse gold that has inherent sampling problems. Unusual commodities or
mineralisation types (e.g., submarine nodules) may warrant disclosure of
detailed information.
Drilling techniques Drill type (e.g., core, reverse circulation, open-hole hammer, rotary air Very limited information is available relating to historical drilling utilised
blast, auger, Bangka, sonic, etc.) and details (e.g., core diameter, triple or by previous operators on the Project Areas. A total of 809 drillholes
standard tube, depth of diamond tails, face-sampling bit or other type, (percussion (RC) and/or diamond drilling carried out by ISCOR) were found to
whether core is oriented and if so, by what method, etc.). have sufficient information to qualify them for inclusion in the Mineral
Resource Estimation, there are no records of any archived split core or
percussion nor their photographs. Limited details are recorded in the database
for the diamond drillholes, with unknown core diameter.
Drill sample recovery Method of recording and assessing core and chip sample recoveries and results Data pertaining to both percussion (RC) drilling and diamond drillhole
assessed. recoveries are not available; as such, Minxcon cannot comment on the drillhole
recoveries. A historical ISCOR document does however mention that a 95%
recovery is required and if not achieved the drilling contractor would redrill
at their cost.
Measures taken to maximise sample recovery and ensure representative nature of No information pertaining to sample recovery information was available for
the samples. Minxcon to review.
Whether a relationship exists between sample recovery and grade and whether No information pertaining to sample recovery information was available for
sample bias may have occurred due to preferential loss/gain of fine/coarse Minxcon to review and hence this could not be investigated.
material.
Logging Whether core and chip samples have been geologically and geotechnically logged Limited information regarding the logging was available to Minxcon and it is
to a level of detail to support appropriate Mineral Resource estimation, uncertain if the core was logged geotechnically or what percentage of the core
mining studies and metallurgical studies. was logged or sampled. according to the simplified historical geological logs
provided to Minxcon in excel format, drillhole logging is quantitative in
nature and as summaries of geological codes and assay interval, i.e.,
pegmatite, and various country rock lithologies. No photographs were supplied
to Minxcon at the time of reporting.
Whether logging is qualitative or quantitative in nature. Core (or costean, Limited information suggests drillhole logging is quantitative in nature.
channel, etc.) photography.
The total length and percentage of the relevant intersections logged. Limited information of what percentage of the core was logged or sampled but
from the drillhole database, which is available, it suggests that the entire
drillhole was logged and only the pegmatites were sampled.
Sub-sampling techniques and sample preparation If core, whether cut or sawn and whether quarter, half or all cores taken. No information in this regard was available for Minxcon to review.
If non-core, whether riffled, tube sampled, rotary split, etc. and whether Limited details are recorded in the database that samples were crushed to
sampled wet or dry. <1.5 mm and the successively riffled to produce a "cup" sized volume which
was then milled to "a very fine powder". No supplementary information is
given, as such, Minxcon is unable to comment on the appropriateness or
representivity of the sampling.
For all sample types, the nature, quality and appropriateness of the sample No information pertaining QAQC data information was available for Minxcon to
preparation technique. review.
Quality control procedures adopted for all sub-sampling stages to maximise No information pertaining QAQC data information was available for Minxcon to
representivity of samples. review.
Measures taken to ensure that the sampling is representative of the in-situ The entire drillhole pegmatite intercept was sampled which would result in a
material collected, including for instance results for field representative sample of the pegmatite down the hole. The drilling density, up
duplicate/second-half sampling. to a 25 m grid, is also fairly tight which would also give a good spread
across the pegmatite.
Whether sample sizes are appropriate to the grain size of the material being The cassiterite grains in the pegmatite are fairly coarse and distributed
sampled. fairly evenly throughout the pegmatite and with the 1 m sample increments, it
is believed to be appropriate.
Quality of assay data and laboratory tests The nature, quality and appropriateness of the assaying and laboratory Historic assay work using XRF (Sn only) was performed. No QAQC data is
procedures used and whether the technique is considered partial or total. available pertaining to historical QAQC or laboratory testwork was available
for historical samples. QAQC procedures pertaining to the extensive ISCOR
dataset are not documented.
For geophysical tools, spectrometers, handheld XRF instruments, etc., the No information pertaining to the laboratory or tools used was available for
parameters used in determining the analysis including instrument make and Minxcon to review.
model, reading times, calibrations factors applied and their derivation, etc.
Nature of quality control procedures adopted (e.g., standards, blanks, No information pertaining to QAQC information was available for Minxcon to
duplicates, external laboratory checks) and whether acceptable levels of review. It is however assumed that ISCOR, being a large reputable mining
accuracy (i.e., lack of bias) and precision have been established. company, would have used appropriate measures to ensure acceptable levels of
accuracy and precision. Since there was historical mining, it is also assumed
that there would have been reconciliations to the production and recovery
figures as a measure of QAQC.
Verification of sampling and assaying The verification of significant intersections by either independent or Due to limited data pertaining to the sampling and assaying procedures,
alternative company personnel. Minxcon assumes that sampling and assaying of all relevant intersections
collected by ISCOR may have been conducted according to industry best practice
and may be used for Mineral Resource estimation. Minxcon did undertake checks
for overlaps and duplicates and capped the anomalous assay values.
Discuss any adjustment to assay data. No adjustments were made to the data besides the capping of anomalous grade
values.
Documentation of primary data, data entry procedures, data verification, data No information pertaining to specific procedures was available but the fact
storage (physical and electronic) protocols. that this historical data is still available and in fairly good condition,
indicates there must have been good systems in place.
The use of twinned holes. A twinning or confirmatory drilling programme has been completed at the V1/V2
pegmatites which had good correlations. This, in the CP's opinion, goes a long
way in confirming the reliability of the historical database as a whole.
Location of data points Accuracy and quality of surveys used to locate drillholes (collar and The coordinate system used throughout is WGS84 UTM 33S to survey and verify
down-hole surveys), trenches, mine workings and other locations used in numerous historical collars which have been identified in the field by
Mineral Resource estimation. Andrada. These positions are consistent with positions recorded in the ISCOR
dataset providing confidence in the historical data. There is also a DTM which
was used for the depletions of the historical open pit mining.
Specification of the grid system used. The coordinate system used throughout is WGS84 UTM 33S.
Quality and adequacy of topographic control. There is a DTM for the project area.
Data spacing and distribution Data spacing for reporting of Exploration Results. Historically, Mineral Resource delineation has been completed using both
diamond and percussion (RC) drilling methods. The limited data is on an
irregular grid targeting each pegmatite and the sampling database was
composited at 1 m.
It is Minxcon's opinion that data spacing, and distribution is sufficient to
establish the degree of geological and grade continuity appropriate for the
Mineral Resource estimation and classification.
The drillhole density could lend itself to a measured or indicated Mineral
Resource if all the QAQC was in place. However, since there is a lack of QAQC
only an inferred Mineral Resource has been declared.
Whether the data spacing, and distribution is sufficient to establish the The drillhole spacing ranges from about 25 m to 50 m in places and up to 100 m
degree of geological and grade continuity appropriate for the Mineral Resource to 200 m elsewhere. This is sufficient to prove geological and grade
and Ore Reserve estimation procedure(s) and classifications applied. continuity.
Whether sample compositing has been applied. The samples were collected in 1 m increments and the histograms of the sample
width showed that the 1 m samples where the majority and hence the sample data
was composited at 1m.
Orientation of data in relation to geological structure Whether the orientation of sampling achieves unbiased sampling of possible Minxcon is not aware of any core orientation being done on drill cores during
structures and the extent to which this is known, considering the deposit the various historic drilling campaigns. However, in most cases drillholes
type. were drilled vertically or at an inclination of about 60 degrees to intersect
the shallow to steeply dipping pegmatites as close to right angles as
possible.
If the relationship between the drilling orientation and the orientation of The drillholes intersect the pegmatites close to normal and hence no bias is
key mineralised structures is considered to have introduced a sampling bias, introduced.
this should be assessed and reported if material.
Sample security The measures taken to ensure sample security. Information on the security of historical samples was not available.
Audits or reviews The results of any audits or reviews of sampling techniques and data. Minxcon is not aware of any audits undertaken.
SECTION 2: REPORTING OF EXPLORATION RESULTS
Criteria Explanation Detail
Mineral tenement and land tenure status Type, reference name/number, location and ownership including agreements or The Project Area is held under valid mining licence ML134 by Uis Tin Mining
material issues with third parties such as joint ventures, partnerships, Company (Pty) Ltd. ML134 is valid for base and rare metals, industrial
overriding royalties, native title interests, historical sites, wilderness or minerals, semi-precious stones, covers an area of 19,704.02 ha, and expires on
national park and environmental settings. 21 August 2028. The V1/V2 pegmatites (not part of this Mineral Resource) are
currently being mined. The mining operations are fully licenced, including
abstraction of water from boreholes and an Environmental Clearance
Certificate. Further exploration activities at the Project are covered by the
amended Environmental Clearance Certificate.
The security of the tenure held at the time of reporting along with any known The Competent Person is satisfied with the security of tenure. The Competent
impediments to obtaining a licence to operate in the area. Person has not identified any threat to the mining lease with continued annual
payments and conformance to government notices and directives.
Exploration done by other parties Acknowledgment and appraisal of exploration by other parties. Acknowledgement is hereby made for the historical exploration conducted
between the early 1960s and 1989 by ISCOR. SRK documented the reserve and mine
plan report containing the historical estimate of the mineralised tin
pegmatites Andrada obtained and digitised a significant portion of the
exploration data.
Geology Deposit type, geological setting and style of mineralisation.
The tin bearing pegmatites are hosted within the Damara Orogen, a typical pan
African-aged (750-440 Ma) orogenic belt. The LCT-type pegmatites forms part of
the Uis Pegmatite Swarm, lying to the east and south of the town of Uis and is
well-mineralised in comparison to other pegmatites in this swarm. The Uis
Pegmatite Swarm has three clusters: Northern, Central and Southern. The
pegmatites generally have a northeast to east strike, and dip between 30° and
70° towards the northwest. The southeast dipping host biotite schist and
gneiss of the isoclinally folded Amis River Formation (including the
Knottenschiefer) of the Damara Supergroup is crosscut by these pegmatites. The
mineralisation type is primarily magmatic but may be due to alteration.
Primary cassiterite is formed towards the end of a pegmatite's crystallisation
history, when enough magmatic differentiation has made tin insoluble.
Drillhole Information A summary of all information material to the understanding of the exploration It is noted that all the Uis Tin Mine Projects included in the portfolio
results including a tabulation of the following information for all Material represent historical database with limited data. Minxcon verified each of the
drillholes: drillhole databases as much as possible during the drillhole desurvey process.
A total of 809 drillhole collars are present in the drillhole database were
* easting and northing of the drillhole collar utilised for the Mineral Resource Estimation of which 27 are diamond
drillholes and 782 are percussion. Minxcon utilised this information to
* elevation or RL (Reduced Level - elevation above sea level in metres) of the delineate the mineralisation of the pegmatites and estimation.
drillhole 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 A total of 809 drillhole collars are present in the drillhole database
information is not Material and this exclusion does not detract from the applicable to the proximal pegmatites, with additional holes covering V1V2
understanding of the report, the Competent Person should clearly explain why (not included in this MRE). All the proximal pegmatite drillholes have
this is the case. been used unless there was an absent or null (zero) value. These drillholes
were used in the geological modelling but not in the estimation.
Data aggregation methods In reporting Exploration Results, weighting averaging techniques, maximum All drillholes were investigated statistically and geostatistically. This
and/or minimum grade truncations (e.g., cutting of high grades) and cut-off analysis resulted in the drillholes being utilised in the Mineral Resource
grades are usually Material and should be stated. estimation conducted over the Uis Tin Mine. The samples were capped to remove
outliers in the database to reduce the bias of very high values. This capping
was applied by Minxcon in the Mineral Resource estimation. Minxcon reviewed
the database and selected 1 m composite as the optimum sample length to be
utilised in the Mineral Resource estimation.
Where aggregate intercepts incorporate short lengths of high-grade results and The samples were capped to remove outliers in the database to reduce the bias
longer lengths of low grade results, the procedure used for such aggregation of very high values and composited at 1 m.
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 There was no metal equivalent. Only Sn was reported.
clearly stated.
Relationship between mineralisation widths and intercept lengths If the geometry of the mineralisation with respect to the drillhole angle is Available information indicates that drilling was conducted to intersect the
known, its nature should be reported. mineralised pegmatites very close to normal relative to the reef plane.
If it is not known and only the down hole lengths are reported, there should The 3D modelling also takes care of the pegmatite width.
be a clear statement to this effect (e.g., 'down hole length, true width not
known').
Diagrams Appropriate maps and sections (with scales) and tabulations of intercepts All relevant diagrams pertaining to sampling type and its distribution, as
should be included for any significant discovery being reported These should well as geological and block models are presented in their respective sections
include, but not be limited to a plan view of drillhole collar locations and and have been generated in accordance with the guidelines described in the
appropriate sectional views. JORC Code.
Balanced reporting Where comprehensive reporting of all Exploration Results is not practicable, The Mineral Resource estimate considered the total dataset, for the generation
representative reporting of both low and high grades and/or widths should be of the geological model and estimated block model. CAE (Datamine) Studio RM™
practiced to avoid misleading reporting of Exploration Results. software was used to conduct statistical and geostatistical analyses, conduct
spatial continuity analysis and generate the estimated block models.
Other substantive exploration data Other exploration data, if meaningful and material, should be reported Various exploration campaigns have been conducted at the Project sites over
including (but not limited to): geological observations; geophysical survey the years, but this information is not available or relevant to the current
results; geochemical survey results; bulk samples - size and method of Mineral Resource update. No other exploration data other than that presented
treatment; metallurgical test results; bulk density, groundwater, geotechnical for the purposes of the Mineral Resource estimation is therefore included in
and rock characteristics; potential deleterious or contaminating substances. this Report.
Further work The nature and scale of planned further work (e.g., tests for lateral The drillhole database integrity has resulted in the Mineral Resource
extensions or depth extensions or large-scale step-out drilling). estimation being classified only as Inferred Mineral Resource. Minxcon
recommends that a programme of confirmatory drilling be undertaken to collect
sufficient data to complete an in-depth investigation into the reliability of
the historical sampling, to assist in Mineral Resource classification upgrade.
Minxcon recommends that further drilling be aimed at confirming the lateral
extent and mineralisation of the W Cluster Pegmatites.
Diagrams clearly highlighting the areas of possible extensions, including the The proximal pegmatites have been mapped on surface (figure in report) and the
main geological interpretations and future drilling areas, provided this lateral and depth extensions of these can be investigated with further
information is not commercially sensitive. drilling.
SECTION 3: ESTIMATION AND REPORTING OF MINERAL RESOURCES
Criteria Explanation Detail
Database integrity Measures taken to ensure that data has not been corrupted by, for example, Minxcon verified the drillhole database during the drillhole desurvey process
transcription or keying errors, between its initial collection and its use for as far as possible. The Uis Proximal Pegmatites drillhole database was checked
Mineral Resource estimation purposes. for duplicates, overlapping and missing intervals, whilst all fields were
checked for spurious or out of range values. The overlaps and duplicates were
removed to create a final database file consisted of drillhole data. Minxcon
was not involved in the initial data capture process.
Data validation procedures used. The data that could be validated by Minxcon was the surface outcrop mapping
and historical collar positions in the field. The CP does however place huge
importance on the fact that the V1/V2 pegmatite data (geological and grade)
was confirmed by a confirmatory drilling programme. This goes a long way in
validating the reliability of the historical drillhole database.
Site visits Comment on any site visits undertaken by the Competent Person and the outcome A site visit was undertaken on 17 November 2022 to verify the pegmatite
of those visits. surface outcrop and historical drillhole collars. This was achieved and the
surface outcrop and historical collars were confirmed. The historical
drillhole diameter was noted to be variable in size and hence an indication
that both RC and diamond drillholes were drilled.
If no site visits have been undertaken indicate why this is the case. Not applicable - see above.
Geological interpretation Confidence in (or conversely, the uncertainty of) the geological Geological modelling comprises two elements namely modelled mineralised
interpretation of the mineral deposit. envelopes and a DTM of the topography, which includes the depletions from
historic open pit mining. Mineralised envelopes were modelled using the
lithological logs sourced from the surface drillholes and surface exposure /
mapping. The wireframes are clipped to the drillhole data and have been
extended along strike and down-dip by reasonable interpretation.
Nature of the data used and of any assumptions made. The geological modelling was completed using Leapfrog software. A total of 32
mineralised pegmatite envelopes have been modelled from the 809 drillholes.
The pegmatites are very distinct from the surrounding schist.
The effect, if any, of alternative interpretations on Mineral Resource There has been no alternative geological model. The pegmatite geology is very
estimation. distinctive.
The use of geology in guiding and controlling Mineral Resource estimation. In general, the mineralised envelopes have been modelled to define elongated
generally moderately (30°) to steeply (70°) dipping pegmatitic zones which
occur within distinct clusters (K, P and V). Individual clusters are
characterised by one or two dominant pegmatites, with numerous associated
splay pegmatites. Strikes vary from east-west to southwest-northeast, with
varying strikes and dips occurring within the same cluster.
The factors affecting continuity both of grade and geology. Several xenoliths (country or waste rock contained within the mineralised
pegmatites) have been modelled within the larger pegmatites. The estimation is
limited to the distinctive pegmatite wireframes based on the 809 drillholes.
Dimensions The extent and variability of the Mineral Resource expressed as length (along Orebody widths, strike and depth extents are highly variable and are based on
strike or otherwise), plan width, and depth below surface to the upper and the interpretation of the drillhole and surface exposure data. Mineralised
lower limits of the Mineral Resource. intercepts do not represent actual orebody widths due to the varying
inclination of intercepts relative to the mineralised zones. The modelled
mineralised widths are generally less than 30 m.
The K cluster of mineralisation extends along strike for approximately 1,740 m
and 240 m down the dip slope. The P cluster has a strike extent of
approximately 860 m and a maximum downdip depth of 185 m. The V cluster has a
strike length of approximately 1,900 m and maximum downslope extent of 240 m.
No geological structures such as dykes or faults have been modelled. No
additional geological losses have been applied to the Mineral Resource
estimates.
Estimation and modelling techniques The nature and appropriateness of the estimation technique(s) applied and key The only variable analysed and available for estimation is tin (Sn %). No
assumptions, including treatment of extreme grade values, domaining, assumptions with respect to the correlation of Sn % with any other variable
interpolation parameters and maximum distance of extrapolation from data have been made.
points. If a computer assisted estimation method was chosen include a
description of computer software and parameters used. The geological, and geostatistical domains were delineated on the basis of
geological structure. For all mineralised envelopes, the mean length of the
sample populations was close to 1 m, and given the data, a 1 m compositing
interval was selected and applied to the desurveyed drillholes. The raw
drillhole analytical data for Sn % indicates very low variance and coefficient
of variation, therefore longer composite lengths would not be required.
Each modelled pegmatite was treated as a separate domain. Mineralised zones,
generally within relative proximity, with similar structural orientations
(strike and dip) were also grouped zones.
The K pegmatite swarm comprised 10 separate domains, the P swarm comprised 6
domains and the V group comprised 15 individual domains.
CAE (Datamine) Studio RM™ was used to conduct statistical and geostatistical
analyses, conduct spatial continuity analysis and generate the Ordinary Kriged
estimated block models.
The availability of check estimates, previous estimates and/or mine production In 1989 SRK compiled a LoM plan (excluding V1/V2) for ISCOR with proven and
records and whether the Mineral Resource estimate takes appropriate account of probable reserves of 70.32 Mt @ a Sn grade of 0.136 % Sn. This was probably
such data. not compliant in today's terms but correlates closely to this CPR's Inferred
Mineral Resource.
The assumptions made regarding recovery of by-products. V1/V2 pegmatites have Li and Ta grade information with the more recent
drilling campaigns but the historical proximal pegmatites do not have any data
relating to these by-products. This needs to be investigated further with the
future drilling.
Estimation of deleterious elements or other non-grade variables of economic No estimation pertaining to deleterious elements or other non-grade variables
significance (e.g., sulphur for acid mine drainage characterisation). of economic significance (e.g., sulphur for acid mine drainage
characterisation) have been conducted.
In the case of block model interpolation, the block size in relation to the Block model estimates or grade interpolation for each Uis Proximal Pegmatite
average sample spacing and the search employed. mineralised envelope, were completed using parent cell estimates in orthogonal
(unrotated) block models The block model parameters are presented in Tables in
the report. Estimates were performed individually for each modelled
mineralised envelope, using only the composite data extracted from that
respective envelope.
Additional block model splits were used, to assist with filling the modelled
mineralised envelopes to ensure the volume of the mineralised shells was
honoured as far as possible. The Mineral Resource estimate was constrained by
the modelled mineralised envelopes.
Three estimates were performed using three search volumes as per the search
parameters described previously. The resultant block models were combined with
one another, giving preference to the lowest (smallest) search volume.
Multiple estimation techniques were employed in the interpolation to allow for
cross-validation of methods and testing for conditional bias. Ordinary kriging
(OK) was utilised for Mineral Resource estimation purposes. Secondary
estimates were completed using inverse distance to the power 2 (ID2SNC) and 0
(produces an arithmetic mean within the respective search - AVGSNC) and a
nearest neighbour (NNSNC) method.
The Block model parameters for the mineralised areas in the Uis Proximal
Pegmatite areas and block size are shown in the table.
Area Origin X Origin Y Origin Z Block size X Block size Y No. Blocks X No. Blocks Y No. Blocks Z
Uis Proximal Pegmatite 486420 7649800 580 5.00 5.00 486.00 924.00 72.00
Any assumptions behind modelling of selective mining units. No assumptions were made in terms of selective mining units with respect to
the cell size selected.
Estimation and modelling techniques (continued) Any assumptions about correlation between variables. The only variable analysed and available for estimation is tin (Sn %). No
assumptions with respect to the correlation of Sn % with any other variable
have been made.
Description of how the geological interpretation was used to control the The Mineral Resource estimation has been restricted to the hard boundaries
resource estimates. encompassed by the geological wireframes.
Discussion of basis for using or not using grade cutting or capping. An extreme value or outlier analysis was completed on the composite data
selected from sub-clusters of the modelled mineralised envelopes. Composite
tin grades greater than the selected capping grade were set to the selected
grade to reduce the potential impact extreme values may have on the block
model estimation.
The analysis comprised examination of cumulative coefficient of variation
plot, cumulative log probability plots and quantile analyses to determine the
presence of extreme value outliers. Capping values were determined for each of
the geological or geostatistical domains. In general, the capping values were
within the 99th percentile of the respective distributions.
The process of validation, the checking process used, the comparison of model Several data-model reconciliations were performed. Firstly, a visual
data to drillhole data, and use of reconciliation data if available. inspection of drillhole composite values with respect to the estimated block
model was completed. Visually there is a reasonable correlation between the
estimated ordinary krige tin values and the composite tin values.
Basic statistics have been compiled comparing the model estimates and
composites. Regressions between various interpolants and the respective kriged
value were tested for the total estimated block model (irrespective of final
Mineral Resource categorisation). Correlation coefficients ("R") of greater
than 0.90 were achieved, indicating a reliable estimate for the Ordinary
kriging relative to the other methods tested. Scatter plots of the various
interpolants with respect to one another were also inspected for possible
indications of bias in the OK estimate.
SWATH plots were also conducted on the estimation.
Moisture Whether the tonnages are estimated on a dry basis or with natural moisture, There was no data available for the moisture content, so the tonnage is
and the method of determination of the moisture content. assumed to be dry at this stage.
Cut-off parameters The basis of the adopted cut-off grade(s) or quality parameters applied. The cut-off parameters used for the cut-off grade and RPEEE pits are detailed
below. The resource has been declared at a cut-off grade of 0.03 % Sn and
within the optimised pit.
Mining factors or assumptions Assumptions made regarding possible mining methods, minimum mining dimensions The mining method assumed is open pit mining as per the historical operations
and internal (or, if applicable, external) mining dilution. It is always and current operations at the V1/V2 pegmatites. See RPEEE parameters above.
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 factors or assumptions The basis for assumptions or predictions regarding metallurgical amenability. A process recovery of 64% has been used for the RPEEE which is based on the
It is always necessary as part of the process of determining reasonable DFS work.
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.
Environmental factors or assumptions Assumptions made regarding possible waste and process residue disposal Based on the V1/V2 operations no environmental factors or assumptions were
options. It is always necessary as part of the process of determining deemed material, and thus none were considered.
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, the basis for the assumptions. If No primary density data or database was available for the proximal pegmatites.
determined, the method used, whether wet or dry, the frequency of the Pegmatite material has an assigned density of 2.65 t/m3, whilst the host
measurements, the nature, size and representativeness of the samples. biotite schist and gneiss has been assigned a density of 2.76 t/m3. This is
based on the V1/V2 pegmatite work.
The bulk density for bulk material must have been measured by methods that No information relating to a bulk sample was available. There is very little
adequately account for void spaces (vugs, porosity, etc.), moisture and if any weathering on surface, so the density of the pegmatite is the same
differences between rock and alteration zones within the deposit. throughout.
Discuss assumptions for bulk density estimates used in the evaluation process See above.
of the different materials.
Classification The basis for the classification of the Mineral Resources into varying The Mineral Resource estimates were categorised on the basis matrix of
confidence categories. criterion dependant on the data type and quantity, quality and standards,
quality assurance and quality control protocols, range of the respective
modelled spatial continuity, number of composites, minimum and maximum number
of samples and the performance (quality) of the kriging estimate. The total
estimated block model within the modelled mineralised envelopes for all areas
were classified as Inferred Resources, primarily due to uncertainty associated
with the source data.
For the Uis Proximal Pegmatite Mineral Resource estimate, a portion of the
estimated Inferred Mineral Resource includes material that may be regarded as
extrapolated beyond the limits of available sampling / analytical data. The
Mineral Resource estimate has been completed using 3 search volumes. The 3rd
search volume estimate can be considered "extrapolated", as it is estimated
using composite data present within two times the modelled search volume for a
particular modelled envelope. Extrapolated inferred Mineral Resource is
approximately 7.6%.
Whether appropriate account has been taken of all relevant factors (i.e., Mineral Resource was classified as Inferred Mineral Resource due to the
relative confidence in tonnage/grade estimations, reliability of input data, database confidence level discussed in database integrity section of this
confidence in continuity of geology and metal values, quality, quantity and report. If QAQC was available, the resource could have been classified as a
distribution of the data). measured or indicated Mineral Resource based on the data density, but the
resource was downgraded.
Whether the result appropriately reflects the Competent Person's view of the It is the Competent Person's opinion the Mineral Resource estimation conducted
deposit. by Minxcon is appropriate and presents a reasonable result in line with
accepted industrial practices.
Audits or reviews The results of any audits or reviews of Mineral Resource estimates. Internal audits and peer review were completed by Minxcon which verified and
considered the technical inputs, methodology, parameters and results of the
estimate. No independent review has been completed for the Mineral Resource
estimate presented in this Report.
Discussion of relative accuracy/ confidence Where appropriate a statement of the relative accuracy and confidence level in The Mineral Resource estimate for the Uis Proximal Pegmatites was completed
the Mineral Resource estimate using an approach or procedure deemed using geostatistical methods to produce local estimates which provide a
appropriate by the Competent Person. For example, the application of measure of the relative accuracy and confidence and quality of the estimate.
statistical or geostatistical procedures to quantify the relative accuracy of The estimate has been compared with the composites used to estimate the block
the resource within stated confidence limits, or, if such an approach is not model and a high degree of correlation has been established through various
deemed appropriate, a qualitative discussion of the factors that could affect reconciliation methods.
the relative accuracy and confidence of the estimate.
The quality of the estimate has been measured using various estimation
parameters. Although the Mineral Resource estimate has been classified as
Inferred, the estimation contains measures of estimation quality such that the
estimate can be subdivided into various levels of quality. The table below
depicts the various estimation quality and confidence parameters for the Uis
Mineral Resource estimate.
Classification Mean Kriging Efficiency Mean Slope of Regression Mean Interval at 90 % Confidence Level Mean Interval at 95 % Confidence Level
High Quality Inferred 0.6 0.9 6.9 8.2
Medium Quality Inferred 0.3 0.7 10.4 12.4
Low Quality Inferred -0.7 0.2 15.6 18.6
The statement should specify whether it relates to global or local estimates, Regional accuracy is considered acceptable as evidenced by the swath plots,
and, if local, state the relevant tonnages, which should be relevant to and direct sample point versus block model checks have ensured acceptable
technical and economic evaluation. Documentation should include assumptions local accuracy with regards the estimated Projects.
made and the procedures used.
These statements of relative accuracy and confidence of the estimate should be Accuracy of the estimate relative to production data cannot be ascertained at
compared with production data, where available. this point as the production figures are not readily available. However, the
new resource correlates well with the historical 1989 SRK reserve.
Any assumptions behind modelling of selective mining units.
No assumptions were made in terms of selective mining units with respect to
the cell size selected.
Estimation and modelling techniques (continued)
Any assumptions about correlation between variables.
The only variable analysed and available for estimation is tin (Sn %). No
assumptions with respect to the correlation of Sn % with any other variable
have been made.
Description of how the geological interpretation was used to control the
resource estimates.
The Mineral Resource estimation has been restricted to the hard boundaries
encompassed by the geological wireframes.
Discussion of basis for using or not using grade cutting or capping.
An extreme value or outlier analysis was completed on the composite data
selected from sub-clusters of the modelled mineralised envelopes. Composite
tin grades greater than the selected capping grade were set to the selected
grade to reduce the potential impact extreme values may have on the block
model estimation.
The analysis comprised examination of cumulative coefficient of variation
plot, cumulative log probability plots and quantile analyses to determine the
presence of extreme value outliers. Capping values were determined for each of
the geological or geostatistical domains. In general, the capping values were
within the 99th percentile of the respective distributions.
The process of validation, the checking process used, the comparison of model
data to drillhole data, and use of reconciliation data if available.
Several data-model reconciliations were performed. Firstly, a visual
inspection of drillhole composite values with respect to the estimated block
model was completed. Visually there is a reasonable correlation between the
estimated ordinary krige tin values and the composite tin values.
Basic statistics have been compiled comparing the model estimates and
composites. Regressions between various interpolants and the respective kriged
value were tested for the total estimated block model (irrespective of final
Mineral Resource categorisation). Correlation coefficients ("R") of greater
than 0.90 were achieved, indicating a reliable estimate for the Ordinary
kriging relative to the other methods tested. Scatter plots of the various
interpolants with respect to one another were also inspected for possible
indications of bias in the OK estimate.
SWATH plots were also conducted on the estimation.
Moisture
Whether the tonnages are estimated on a dry basis or with natural moisture,
and the method of determination of the moisture content.
There was no data available for the moisture content, so the tonnage is
assumed to be dry at this stage.
Cut-off parameters
The basis of the adopted cut-off grade(s) or quality parameters applied.
The cut-off parameters used for the cut-off grade and RPEEE pits are detailed
below. The resource has been declared at a cut-off grade of 0.03 % Sn and
within the optimised pit.
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 mining method assumed is open pit mining as per the historical operations
and current operations at the V1/V2 pegmatites. See RPEEE parameters above.
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.
A process recovery of 64% has been used for the RPEEE which is based on the
DFS work.
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.
Based on the V1/V2 operations no environmental factors or assumptions were
deemed material, and thus none were considered.
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.
No primary density data or database was available for the proximal pegmatites.
Pegmatite material has an assigned density of 2.65 t/m3, whilst the host
biotite schist and gneiss has been assigned a density of 2.76 t/m3. This is
based on the V1/V2 pegmatite work.
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.
No information relating to a bulk sample was available. There is very little
if any weathering on surface, so the density of the pegmatite is the same
throughout.
Discuss assumptions for bulk density estimates used in the evaluation process
of the different materials.
See above.
Classification
The basis for the classification of the Mineral Resources into varying
confidence categories.
The Mineral Resource estimates were categorised on the basis matrix of
criterion dependant on the data type and quantity, quality and standards,
quality assurance and quality control protocols, range of the respective
modelled spatial continuity, number of composites, minimum and maximum number
of samples and the performance (quality) of the kriging estimate. The total
estimated block model within the modelled mineralised envelopes for all areas
were classified as Inferred Resources, primarily due to uncertainty associated
with the source data.
For the Uis Proximal Pegmatite Mineral Resource estimate, a portion of the
estimated Inferred Mineral Resource includes material that may be regarded as
extrapolated beyond the limits of available sampling / analytical data. The
Mineral Resource estimate has been completed using 3 search volumes. The 3rd
search volume estimate can be considered "extrapolated", as it is estimated
using composite data present within two times the modelled search volume for a
particular modelled envelope. Extrapolated inferred Mineral Resource is
approximately 7.6%.
Whether appropriate account has been taken of all relevant factors (i.e.,
relative confidence in tonnage/grade estimations, reliability of input data,
confidence in continuity of geology and metal values, quality, quantity and
distribution of the data).
Mineral Resource was classified as Inferred Mineral Resource due to the
database confidence level discussed in database integrity section of this
report. If QAQC was available, the resource could have been classified as a
measured or indicated Mineral Resource based on the data density, but the
resource was downgraded.
Whether the result appropriately reflects the Competent Person's view of the
deposit.
It is the Competent Person's opinion the Mineral Resource estimation conducted
by Minxcon is appropriate and presents a reasonable result in line with
accepted industrial practices.
Audits or reviews
The results of any audits or reviews of Mineral Resource estimates.
Internal audits and peer review were completed by Minxcon which verified and
considered the technical inputs, methodology, parameters and results of the
estimate. No independent review has been completed for the Mineral Resource
estimate presented in this Report.
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 Mineral Resource estimate for the Uis Proximal Pegmatites was completed
using geostatistical methods to produce local estimates which provide a
measure of the relative accuracy and confidence and quality of the estimate.
The estimate has been compared with the composites used to estimate the block
model and a high degree of correlation has been established through various
reconciliation methods.
The quality of the estimate has been measured using various estimation
parameters. Although the Mineral Resource estimate has been classified as
Inferred, the estimation contains measures of estimation quality such that the
estimate can be subdivided into various levels of quality. The table below
depicts the various estimation quality and confidence parameters for the Uis
Mineral Resource estimate.
Classification Mean Kriging Efficiency Mean Slope of Regression Mean Interval at 90 % Confidence Level Mean Interval at 95 % Confidence Level
High Quality Inferred 0.6 0.9 6.9 8.2
Medium Quality Inferred 0.3 0.7 10.4 12.4
Low Quality Inferred -0.7 0.2 15.6 18.6
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.
Regional accuracy is considered acceptable as evidenced by the swath plots,
and direct sample point versus block model checks have ensured acceptable
local accuracy with regards the estimated Projects.
These statements of relative accuracy and confidence of the estimate should be
compared with production data, where available.
Accuracy of the estimate relative to production data cannot be ascertained at
this point as the production figures are not readily available. However, the
new resource correlates well with the historical 1989 SRK reserve.
About Andrada Mining Limited
Notes to Editors
Andrada Mining Limited, formerly Afritin Mining Limited, is a London-listed
technology metals mining company with a vision to create a portfolio of
globally significant, conflict-free, production and exploration assets. The
Company's flagship asset is the Uis Mine in Namibia, formerly the world's
largest hard-rock open cast tin mine.
Lithium laboratory test work completed during the 2022 calendar year indicated
a high-grade, ultra-low iron lithium petalite concentrate. The test work to
convert lithium petalite concentrate to battery-grade lithium hydroxide was
initiated with Nagrom, a leading Australian processing company, and commercial
engagements with lithium petalite concentrate off - takers are on-going.
An exploration drilling programme is currently underway with the aim of
expanding the tin resource over the fourteen additional, historically mined
pegmatites, all of which occur within a 5 km radius of the current processing
plant. The Company has set a mineral resource target of 200 Mt to be
delineated within the next 5 years. The substantial mineral resource potential
allows the Company to consider economies of scale.
Andrada is managed by a board of directors with extensive industry knowledge
and management team with deep commercial and technical skills. Furthermore,
the Company is committed to the sustainable development of its operations and
the growth of its business. This is demonstrated by how the leadership team
places significant emphasis on creating value for the wider community,
investors, and other key stakeholders. Andrada has established an
environmental, social and governance system which has been implemented at all
levels of the Company and aligns with international standards.
-END-
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