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Ammended NI 43-101 Technical Report on the Biely ... - EMED Mining

Ammended NI 43-101 Technical Report on the Biely ... - EMED Mining

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<strong>EMED</strong> <strong>Mining</strong> - <strong>Biely</strong> VrchNovember 2010Northing 5379400 5380200 25 32Elevati<strong>on</strong> -70 500 10 57Boundary C<strong>on</strong>diti<strong>on</strong>s and Grade Interpolati<strong>on</strong>Domain boundaries were treated as soft. Samples lying within 20 m of <strong>the</strong> domain boundary wereused to estimate grades within that domain, in order to allow a gradati<strong>on</strong>al effect without overlysmearing grades. Grade interpolati<strong>on</strong> was by ordinary kriging (OK). Estimates using nearestneighbour and inverse power of distance (IPD) were made to validate <strong>the</strong> OK model. Krigingefficiency, kriging variance, regressi<strong>on</strong> slope, and sample numbers used for estimati<strong>on</strong> were recordedin <strong>the</strong> OK model to assist with resource classificati<strong>on</strong>.Specific GravityA total of 458 specific gravity determinati<strong>on</strong>s ranged from 2.1 to 2.74 (average 2.44). Snowden used<strong>the</strong> mean density value of 2.44 for estimati<strong>on</strong> of <strong>the</strong> resource t<strong>on</strong>nage (See Table 9).Table 10Specific Gravity Value by DomainDomain Number of samples Minimum Maximum MeanLow grade 35 2.24 2.67 2.49High grade 423 2.10 2.74 2.44Argillic 291 2.17 2.74 2.50Intense Argillic 167 2.10 2.67 2.35Oxide 30 2.10 2.59 2.30Transiti<strong>on</strong>al 113 2.10 2.65 2.37Primary 315 2.13 2.74 2.49Model Validati<strong>on</strong>Snowden validated <strong>the</strong> <strong>Biely</strong> Vrch mineral resource model using three techniques: Comparing <strong>the</strong> estimated grades by domain with <strong>the</strong> declustered input samples within<strong>the</strong> porti<strong>on</strong>s of <strong>the</strong> mineral resource estimate classified as Inferred or Indicated. Thedeclustered input gold grades and estimated block grades compare favourably forboth Indicated and Inferred material with a discrepancy of less than 2%. Comparing resources by domain, alterati<strong>on</strong> and oxidati<strong>on</strong> state. A good correlati<strong>on</strong>was observed for all <strong>the</strong> results with <strong>the</strong> excepti<strong>on</strong> of <strong>the</strong> low-grade domain where <strong>the</strong>mean estimated grade was significantly greater than <strong>the</strong> declustered mean grade. Thisis likely to be due to <strong>the</strong> relatively low grade in this domain. A significantimprovement in accuracy is likely to occur with additi<strong>on</strong>al drilling at depth. Creating slice validati<strong>on</strong> plots of estimated block grades and declustered input samplegrades by resource category <strong>on</strong> easting, northing and elevati<strong>on</strong>.Snowden also undertook visual inspecti<strong>on</strong> of block and sample composite grades in secti<strong>on</strong>, plan, andin three dimensi<strong>on</strong>s. No discrepancies were noted during visual validati<strong>on</strong>. Snowden c<strong>on</strong>sidered that<strong>the</strong> estimated grades were within acceptable limits and Behre Dolbear c<strong>on</strong>curs.<str<strong>on</strong>g>NI</str<strong>on</strong>g> <str<strong>on</strong>g>43</str<strong>on</strong>g>–<str<strong>on</strong>g>101</str<strong>on</strong>g> <str<strong>on</strong>g>Technical</str<strong>on</strong>g> <str<strong>on</strong>g>Report</str<strong>on</strong>g> 29 BEHRE DOLBEARLegal*5650400.1

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