Ore reserves: errors and classification

The Institute of Materials, Minerals and Mining
Organization:
The Institute of Materials, Minerals and Mining
Pages:
7
File Size:
4193 KB
Publication Date:
Dec 1, 1996

Abstract

Errors in ore reserve estimation can occur during drilling and sampling, sample preparation and analysis, geological logging and modelling, database construction, statistical or geostatistical evaluation, selection of economic parameters, selection of ore reserve method and assessment of mining constraints. Core sample recovery can be a major source of error, and it is proposed that the modelling of grade, metal accumulation and thickness should be accompanied by the modelling of core recovery (or core loss) so that for each ore block a weighted block recovery factor is obtained. This gives a good indicator of the reliability of a reserve estimate. It is suggested that a resource reliability rating (RRR) system be established to quantify what is meant by geological assurance and to combine this with an estimate of the precision of estimation as gained by geostatistical analysis. Proven and probable minable reserves would be those with an RRR better than 50% and a precision of estimation better than 20%
Citation

APA:  (1996)  Ore reserves: errors and classification

MLA: Ore reserves: errors and classification. The Institute of Materials, Minerals and Mining, 1996.

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