Table 1: Kitsault Mineral Resource Estimate (David Thomas P. Geo., Effective Date 17 April 2012)
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2 1.0 SUMMARY The effective date of the mineral resource estimate is 17 April 2011, which represents the cut-off date for the most recent scientific and technical information used in the resource estimate. The mineral resources reported herein have been estimated using criteria consistent with the CIM Definition Standards (2010) and in conformity with CIM Estimation of Mineral Resources and Mineral Reserves Best Practice (2003) guidelines. AMEC prepared an update to the resource estimate for the Kitsault deposit based on drilling information and geological interpretation provided by Avanti. The resource model considers an additional 35 drill holes from the 2011 exploration campaign and is an update to the 8 November 2010 mineral resource estimate used in AMEC s 2010 Feasibility Study on the Kitsault Molybdenum Project. Resources are categorized and tabulated within a constraining economic resource pit shell based on costs and prices evaluated by AMEC (Table 1) and agreed upon by Avanti. Table 1: Kitsault Mineral Resource Estimate (David Thomas P. Geo., Effective Date 17 April 2012) Tonnage Mo Mo Pb Ag Ag Category (Mt) % (Mlb) (ppm) (ppm) (Moz) Measured Indicated Measured + Indicated Inferred Notes: 1. Mineral Resources are inclusive of Mineral Reserves 2. Mineral Resources that are not Mineral Reserves do not have demonstrated economic viability 3. Mineral Resources are defined with a Lerchs Grossmann pit shell, and reported at a 0.018% Mo cut-off grade 4. Mineral Resources are reported using a commodity price of CDN$17.39/lb Mo, an average process recovery 89%, a process cost of CDN$ 5.83/t and selling cost of CDN$1.24 /lb of Mo sold. No revenue was assumed for Ag 5. Tonnages are rounded to the nearest 1,000 tonnes; grades are rounded to three decimal places for Mo and one decimal for Ag 6. Rounding as required by reporting guidelines may result in apparent summation differences between tonnes, grade and contained metal content 7. Tonnage and grade measurements are in metric units; contained molybdenum is in imperial pounds. 8. There is potential for a 30% to 40% recovery of the silver reporting to a saleable concentrate. A report by RDi dated March 5, 2012 supports this estimate. However, although there may be a reasonable prospect to extract this silver resource there is insufficient work to define the level of benefit that would support inclusion of silver in a reserve estimate at this time. No dedicated silver recovery circuit has been included in the process design, bu there are reasonable expectations that this can be added in the future. Page 2 of 11
3 2.0 RESOURCE ESTIMATION AMEC undertook quality assurance and quality control studies on the mineral resource data for the Kitsault project. AMEC concludes that the collar, down hole survey, assay and lithology data are adequate to support resource estimation. There are a total of 207 drill holes for a total of approximately 49,082 metres of drilling within the Kitsault project area. During 2011, Avanti completed 32 drill holes totalling 9,995 metres. The first ten historical drill holes were excluded from mineral resource estimation due to data quality and verification issues issues. Avanti provided AMEC with vertical sections showing interpretations of lithology and grade contours at a 0.05% Mo threshold. AMEC reviewed the interpretations and created a wireframe grade shell. The grade shell was inspected in section and plan. The grade shell adequately restrict the potential for over-projection of grades into low grade or high grade areas. The grade shell was further validated using nearest neighbour (NN) models of the grade indicators and by comparison with the previous grade shell used to constrain the 2010 mineral resource estimate. AMEC composited the assays into six metre intervals for grade interpolation and subsequent exploratory data analysis. Limited composite sharing was permitted across the grade shell boundaries via a coding of the composites and blocks falling within 20 metres of the boundaries of the grade shell. The codes assigned are shown graphically below in Figure 1. These domains were coded and flagged to blocks and back-flagged to composites and were used as the basis for matching samples and blocks during the estimation process. The composite and block sharing scheme is shown below in Table 2. Figure 1: Block and Composite Codes Lead and silver grades were estimated without using any domains to constrain the grade estimates. Variographic analysis of the silver and lead grades showed a northeast striking trend of the major axis which is consistent with the orientation of the late quartz-carbonate Page 3 of 11
4 veining (hosting the lead-silver mineralization) mapped within the historical Kitsault open pit. The search ellipses for lead and silver grade interpolation were therefore also oriented with a northeast striking major axis. Table 2: Composite and Block Sharing Description Block Codes Composite Codes 0.05% Grade Shell Inner Halo Outer Halo < 20 m Inside Grade Shell (Inner) < 20 m Outside Grade Shell (Inner) < 20 m Inside Grade Shell (Outer) < 20 m Outside Grade Shell (Outer) AMEC completed a capping study for each domain. The capping study showed that a minimal amount of capping (<0.2%) is necessary for the grade shell and outer halo domains, therefore no capping or outlier restriction was applied to those domains. For the inner halo domain, a capping grade threshold of 0.15% Mo was chosen. There are a total of 9 assays above this grade threshold and the estimated amount of metal to remove by capping or outlier restriction is 1.8%. For the post mineral intrusive QMP II, a capping threshold of 0.025% Mo was chosen. There are a total of 12 assays above this threshold. The estimated amount of metal to remove by capping or outlier restriction is 21.2%. For silver and lead grade capping thresholds of 80 ppm and 4,000 ppm were chosen respectively. For silver there are 40 assays and for lead there are 57 assays above the respective capping threshold. The amounts of metal to remove by capping or outlier restriction are 5.0% and 8.8% respectively. The amount of metal to be removed by capping is calculated by the following formula: % Metal = (Mean Uncapped Mean Capped) Mean Uncapped AMEC estimated molybdenum, lead and silver grades using ordinary kriging into blocks using multiple estimation passes with incrementally increasing search distances. For molybdenum, search ellipses and variograms were re-oriented to account for the concentric distribution of the mineralization. Validation of the grade estimates shows no significant global or local bias and the smoothing is appropriate for the mining selectivity anticipated during mining. Page 4 of 11
5 AMEC evaluated the impact of capping by estimating uncapped and capped grade models. Generally the amounts of metal removed by capping in the models are consistent with the amounts calculated during the grade capping study on the assays. Globally, 0.2% of the molybdenum metal and 8.2% of the silver metal were removed from the estimated blocks. AMEC calculated drill hole spacings for classifying blocks into Measured and Indicated categories based on confidence limits of kriging. AMEC considered confidence limits on molybdenum grades with a production panel representing 12.5 Mt/year. AMEC considered blocks to be in the Measured category of mineral resources if a minimum of three drill holes fell within a radius of 150 metres and with an average distance of less than 45 metres from the block; Indicated blocks were considered if at least two drill holes fell within a radius of 150 metres and with an average distance of less than 45 metres or if at least 3 holes fell within a radius of 150 metres with an average distance of less than 90 metres. Extrapolation of Inferred resource blocks is restricted to a maximum distance of 150 metres. Isotropic distances from block centroids without domain boundaries were used for mineral resource classification. AMEC used the same average SG values as were used in the 2010 mineral resource estimate. The average SG values are shown below in Table 3. Table 3: SG Determinations Rock Type Number of Determinations Density (g/cm 3 ) Quartz Diorite Hornfels Quartz Monzonite Porphyries Page 5 of 11
6 3.0 RESOURCE STATEMENT For constraining the blocks to be reported as mineral resources AMEC defined an economic resource pit shell based on the parameters listed in Table 4. AMEC used a long term molybdenum metal price of CAD$17.39/lb for mineral resources. The 2010 Feasiblity Study variable slope angles were used to constrain the pit shell.the resulting pit shell has an ore to waste strip ratio of 0.84 AMEC defined a cut-off grade of 0.018% Mo for reporting mineral resources based on the total costs evaluated. The AMEC mineral resource statement for Kitsault is summarized in Table 5. There are risks and opportunites associated with the Kitsault mineral resource model. The reported mineral resource is sensitive to cut-off grades. The sensitivity of the mineral resource to cut-off grades is shown in Table 6 below. In particular, the lower grade Inferred portion of the mineral resource may not be economically mineable in the future as it has a lower molybdenum grade. The Measured and Indicated portions of the mineral resource are less sensitive to increases in cut-off grade. There is an opportunity to increase the Mineral Resource at depth and to the south of Patsy Creek where mineralization which has not been classified due to the lack of drill hole information. Table 4: Optimization Parameters for Resource Pit Shell Mining and Processing Costs Unit Value (CAD$) Ore Mining Cost $/t ore 1.49 Process Cost $/t ore 5.84 Total Ore Based Costs $/t 7.33 milled Selling Cost $/lb Mo 1.24 Average Metallurgical Recovery % 89 Pit Slope Degrees Variable Table 5: Kitsault Mineral Resource Estimate (David Thomas P. Geo., Effective Date 17 April 2012) Tonnage Mo Mo Pb Ag Ag Category (Mt) % (Mlb) (ppm) (ppm) (Moz) Measured Indicated Measured + Indicated Inferred Page 6 of 11
7 Table 6: Kitsault Mineral Resource Sensitivity to Cut-Off Grade Measured Tonnage Mo Mo Pb Ag Ag Cut-Off Grade (Mo%) (Mt) % (Mlb) (ppm) (ppm) (Moz) Indicated Tonnage Mo Mo Pb Ag Ag Cut-Off Grade (Mo%) (Mt) % (Mlb) (ppm) (ppm) (Moz) Measured and Indicated Tonnage Mo Mo Pb Ag Ag Cut-Off Grade (Mo%) (Mt) % (Mlb) (ppm) (ppm) (Moz) Inferred Tonnage Mo Mo Pb Ag Ag Cut-Off Grade (Mo%) (Mt) % (Mlb) (ppm) (ppm) (Moz) Page 7 of 11
8 4.0 COMPARISON TO 2010 MINERAL RESOURCE A comparison of the new 2012 mineral resource with the previous 2010 mineral resource shows generally minor changes in tonnage, grade and contained metal. The percentage relative differences for each mineral resource category between the current model and the previous model are shown below in Table 7. The large increase in the tonnage of Measured mineral resources is attributed principally to a change to classification based upon isotropic distances with no consideration of domain boundaries and an increased drilling density locally. New drilling information resulted in local changes in estimated tonnage and grade, therefore combined Measured and Indicated resource tonnage (7.7% increase) and contained molybdenum metal (7.0% increase) remain similar to the previous model. Figure 2 shows a bench plan at elevation 505 m. The depth extent of the pit shell constraining the mineral resource increased, therefore Inferred mineral resource tonnage increased substantially. The change in the pit shell can be attributed to an increase in the long term moly price assumption and removal of an incremental mining cost per bench. A representative section showing the 2010 and 2012 resource pit shells and the resource classification is shown in Figure 3 below. Silver grades and metal content increased significantly in combined Measured and Indicated mineral resources due to modelling silver grades independently of molybdenum. Previously, silver grades were estimated using molybdenum domains with composite sharing across the domain boundaries determined by the analysis of contact plots. Table 7: % Relative Differences Between 2012 and 2010 Mineral Resource Estimates Category Tonnes (Mt) Mo Grade (%) Mo Metal Mlbs Ag Grade (g/t) Ag Metal (Moz) Measured 95.5% -6.5% 81.4% 15.9% 128.0% Indicated -20.7% -9.2% -27.7% 11.0% -11.9% Measured and Indicated 7.7% -1.4% 7.0% 13.8% 22.8% Inferred 102.2% -18.0% 66.3% 26.8% 157.3% Page 8 of 11
9 Figure 2: Showing Resource Classification (Top) and Mo% grade (Bottom) Note: 2010 resource model is shown on the left, 2012 resource model is shown on the right Page 9 of 11
10 Figure 3: Section 6,141,800N Showing 2010 and 2012 Pit Shells with Classification Page 10 of 11
11 5.0 REFERENCES Avanti Kitsault Miner Ltd. Kitsault Molybdenum Project Feasibility Study 14 March 2011 REV 1 Kitsault Molybdenum Project British Columbia, Canada NI Technical Report on Feasibility Study, 15 December 2010 Page 11 of 11
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