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To: LoneClone who wrote (32974)2/15/2007 10:56:35 AM
From: LoneClone  Respond to of 78419
 
Rusina Mining completes first resource estimate for Acoje nickel project in Philippines

Source: Edited Press Release

metalsplace.com

Rusina Mining NL said Wednesday that it has completed the first nickel limonite resource estimation for the Acoje Project located in the Philippines. This resource estimate represents only the upper weathered limonite zone. The manual test pitting was unable to penetrate the lower harder saprolite ore and is scheduled to be completed using drill rigs over the coming months.

The combined Indicated and Inferred JORC Resource estimate is 33.15 million tonnes grading 0.95% Ni, 0.07% Co, representing 315,000 tonnes of contained nickel.

The limonite resource estimate is based on 1,265 pits representing 4,444 assays. The pits were initially spaced on a 200 million x 200 million grid. These pits were infilled to 100 million x 100 million in areas of elevated nickel. Each 1 million x 0.8 million pit was sampled on 1 million intervals. All samples were split at site, with one sample being kept at Rusina's storage facility. All samples were assayed at McPhar Assay Laboratories in Manila using chemical digestion for Cr2O3, Ni, Cu, Co, Fe, Mg and fire assay for Au, Pd, Pt. Approximately 5% of the samples were resubmitted to Ultra Trace in Australia as check assays using XRF fusion. There was no appreciable bias and or precision differences between the two assay methods for the Ni assays, however there was slight systematic underreporting of Co, Fe, Cr and Mg suggesting a digestion issue with these elements. Further check assays and review is being undertaken before these elements are reported in full however Rusina sees no appreciable effect on the resource as stated.

The saprolite and the limonite domains were distinguished using geochemical discriminators. The limonite zone was defined for MgO < 13% and FeO > 27%. Within the limonite domain, a 0.75% Ni cut-off was used to separate mineralised to non mineralised data. No saprolite data was used in the estimate.

A 100 million x 100 million block model was created and block grades and thickness was estimated using ordinary kriging. Variography and statistics were also completed as part of the estimate. The model was classified using drill hole density, slope of regression of the estimate and by geological interpretation. In general all areas within the 100 million x 100 million sampling density were classified as indicated and all other blocks were calculated as inferred. The model was further constrained within the granted MPSA boundary. Ore within the exploration application boundaries was excluded from the estimate.