- Part 17: For the preceding part double click ID:nRSN1376Ep
surface rehabilitated as per the existing profile and vegetation.
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. Bulk density values were derived from 980 core density measurements.The in-situ dry bulk density values are: · Surface cover: 2.40g/cm3· Oxidised: 2.52g/cm3·
Partially oxidised: 2.70g/cm3· Fresh rock: 2.75g/cm3
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. Fresh and partially oxidised rock is competent enough to ensure the method used takes into account any rock porosity. A factor derived from comparison with DD core was
used to adjust the oxidised and surface cover material.
Discuss assumptions for bulk density estimates used in the evaluation process of the different materials. The density measurements have been classified by weathering intensity, defined by the geological logging. Four dominant zones have been identified - surface cover,
oxidised, partially oxidised, and fresh rock. The average of the density data from each zone was applied in the resource model.
Classification The basis for the classification of the Mineral Resources into varying confidence categories. The reported MRE has been classified as Indicated or Inferred after consideration of the following:· Adequate geological evidence and drill hole sampling is
available to imply geological and grade continuity.· Adequate in-situ dry bulk density data is available to estimate appropriate tonnage factors.· Adequate
mining, metallurgy and processing knowledge to imply potential prospect for eventual economic extraction.
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). The reported MRE has been classified with consideration of the quality and reliability of the raw data, the confidence of the geological interpretation, the number and
spacing of intercepts through the mineralised zones and knowledge of grade continuity gained from observation and geostatistical analysis.
Whether the result appropriately reflects the Competent Person's view of the deposit. The reported MRE and its classification are consistent with the CP's view of the deposit. The CP was responsible for determining the resource classification.
Audits or reviews The results of any audits or reviews of Mineral Resource estimates. An external review was undertaken by AMC Consultants on the MRE reported in December 2011. The review concluded that the estimate was considered to reflect the
understanding of the geology and grade continuity. Craig Gwatkin (CP) also concluded that the estimates appropriately represented the grade and tonnage distribution of
uranium mineralisation at confidence levels commensurate with the reported resource classification.
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 confidence level is reflected in the resource classification category chosen for the reported MRE.The definition of current Mineral Resources is appropriate for the
level of study and the geological confidence imparted by the drilling grid.The reported MRE is considered appropriate and representative of the grade and tonnage at the
200ppm U3O8 cut-off grade. The application of geostatistical methods has helped to increase the confidence of the model and quantify the relative accuracy of the resource
on a global scale. It relies on historical data being of similar standard as recent infill drilling. The relevant tonnages and grade are variable on a local scale.The
nature of the mineralisation and the relatively high nugget effect may result in local grade estimates being lower confidence, with smoothing of the grade tonnage
distribution at cut-off grades above 200ppm U3O8.The CP considers that the drilling grid in the area is sufficient for classification of an Indicated and Inferred Mineral
Resource.
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. The Alameda deposit is likely to have local variability. The global assessment is an indication of the average tonnages and grade estimate for each geological domain.
These statements of relative accuracy and confidence of the estimate should be compared with production data, where available. No production has been carried out at Alameda.
The Alameda deposit is likely to have local variability. The global assessment is an indication of the average tonnages and
grade estimate for each geological domain.
These statements of relative accuracy and confidence of the estimate should be compared with production data, where
available.
No production has been carried out at Alameda.
Section 4 Estimation and Reporting of Ore Reserves
(Criteria listed in section 1, and where relevant in sections 2 and 3, also apply to this section.)
Mineral Resource estimate for conversion to Ore Reserves Description of the Mineral Resource estimate used as a basis for the conversion to an Ore Reserve. A mineral resource has been estimated using block modelling techniques as describes in Section 3 of Table 1. A block model of
10x10x6 m has been created and the resource estimated using Ordinary Krigging and Uniform Conditioning. Alameda Mineral Resource
at 90 ppm mining cut off
Clear statement as to whether the Mineral Resources are reported additional to, or inclusive of, the Ore Reserves. The mineral resource estimate is inclusive of any ore reserves
Site visits Comment on any site visits undertaken by the Competent Person and the outcome of those visits. Site visits took place from 9th to 12th of November 2015. The following inspections were made:· The site of the pit·
The site of the proposed dump sites· The site of the proposed plant site including the ore stockpile· The core yard
where cores were inspected· The access to the site and existing infrastructure around the site.No material issues that are
likely to prevent the establishment of mining and processing activities at the site were identified during the site visit.
If no site visits have been undertaken indicate why this is the case. Site visits have been undertaken.
Study Status The type and level of study undertaken to enable Mineral Resources to be converted to Ore Reserves. The level of study is Definitive Feasibility Study. Only measured and indicated resources have been considered in the
declaration of ore reserves
The Code requires that a study to at least Pre-Feasibility Study level has been undertaken to convert Mineral Resources to Ore Reserves. Such studies will have been carried out and will have determined a mine plan that is technically achievable and economically viable, and that material Modifying Factors have been considered. All factors required to convert Resources to Reserves have been considered including capital and operating costs, selling
prices, geotechnical conditions, metallurgical recoveries and reagent consumptions, environmental and social constrains, etc.
These factors were used to determine the optimum economic pit shell (using Whittle optimization software). The optimal pit shell
was used as the basis to design an open pit that considers slope angles, ramps and berms in the different sectors of the pit.
The reserves reported are within the final pit design. The use of these factors has resulted in a technically and economically
viable plan.
Cut-off parameters The basis of the cut-off grade(s) or quality parameters applied Cut-off grade has been estimated using a combination of factors:· Different selling price: from 45$/lb to 65$/lb· Mine
costs derived from the analysis of 5 different proposals from mining contractors.· Recoveries and acid consumption obtained
from metallurgical testwork done at Mintek (South Africa) for 6 m columns.· Rehabilitation costs. The cut-off grade applied
is 90ppm
Mining factors or assumptions The method and assumptions used as reported in the Pre-Feasibility or Feasibility Study to convert Mineral Resource to an Ore Reserve (i.e. either by application of appropriate factors by optimisation or by preliminary or detailed design). A mine design to definitive feasibility study levels of accuracy has been undertaken as the basis for the estimation of Ore
Reserves. This study has included:· Exploration and sampling of the deposit· Modelling and estimation of mineral
resources· Mine design of an open pit including a pit optimization study· Design of all dumps and stockpiles
required.· Metallurgical testwork· Metallurgical process and plant design· Determination and design of all
infrastructure requirements· Costing based on multiple quotes· Financial evaluation by discounted cashflow analysis
The choice, nature and appropriateness of the selected mining method(s) and other mining parameters including associated design issues such as pre-strip, access, etc. The deposit is shallow (between 0 to 160m) and massive, the pre-strip is therefore low with a stripping ratio 1.08 (t to t). Due
to the depth and geometry of the deposit, the selected mining method is Open Pit mining ensuring a good recovery of the deposit.
Some of the pre-strip material will be used as construction material. Access to the pit will be by conventional open pit ramps,
25m in width that enables access for 100 t trucks.
The assumptions made regarding geotechnical parameters (eg pit slopes, stope sizes, etc), grade control and pre-production drilling. Geotechnical design parameters have been derived for the various material types encountered at the site based on core logging
and laboratory test work. Open pit slopes have been divided into different design sectors and each of them has specific
conditions applied. Overall slope angles in the identified design sectors range from 43 degrees to 58 degrees. Grade control
will be done based on two main sources of data:· Portable XRF on blast hole collected dust and rock chips· Blast hole
chemical assay Routine XRF testing will provide the basic information for ore grade control in the ore. The cost for these
activities has been considered as part of the labour cost of the Berkeley technical services. The blast hole samples will be
collected as 6 m composites. Face mapping and geological logging are used to confirm the results. It has been assumed that 30%
of the total ore samples and 10% of the waste samples will be sent to the laboratory for the first year as part of a QA / QC
process for the gamma probing. After first year, only 10% of ore blast holes and 5% of waste blast holes will be collected for
chemical analysis.
The major assumptions made and Mineral Resource model used for pit and stope optimisation (if appropriate). A Pit optimisation study was undertaken the techno-economic data set used in this optimisation process were largely based on the
outcomes of the pre-feasibility study with the exception of the geotechnical parameters which were determine to DFS levels of
accuracy.
The mining dilution factors used. Planned dilution of Alameda was applied through regularisation of the block model. The original resource model produced by CSA
was populated with minimum block sizes of 5x5x1.5. The block model was then regularised to 10x10x6 to account for the selective
mining unit. As a larger selective mining unit was applied to the Alameda model, lower dilution and mining recovery factors were
applied in comparison to the other deposits. An additional dilution of 1% and mining recovery of 99% were applied to account for
unplanned dilution due to blast movement, mixing of ore and waste and mining angles.
The mining recovery factors used. Mining recovery factor used is 99%
Any minimum mining widths used. SMU is 10x10x6m, minimum with for mining is established in 30m
The manner in which Inferred Mineral Resources are utilised in mining studies and the sensitivity of the outcome to their inclusion. No Inferred material is used in the study, all reserves estimated are based on measured and indicated resources.
The infrastructure requirements of the selected mining methods. The infrastructure required is minimum: access by road, power and water. The mining infrastructure cluster will be provided by
the selected mining contractor. A metallurgical process plant will be constructed.
Metallurgical factors or assumptions The metallurgical process proposed and the appropriateness of that process to the style of mineralisation. The heap leach process is proposed followed by ion exchange (IX). Loaded resin will be then trucked to the Retortillo plant
where the resins will be eluted and the eluated incorporated into the
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