Mineral Resource Classification - It's Time to Shoot the 'Spotted Dog'!

The Australasian Institute of Mining and Metallurgy
A Allman D P. Carville P T. Stoker
Organization:
The Australasian Institute of Mining and Metallurgy
Pages:
5
File Size:
415 KB
Publication Date:
Jan 1, 2006

Abstract

Classification of mineral resource estimates is one of the most important responsibilities of the Competent Person. In recent years, classification decisions have been driven more by the detailed block-by-block attributes generated by the now widely applied geostatistical estimation methods, and less by a general geological overview. This is increasingly resulting in æspotted dogÆ outputs, in which blocks of Inferred Resources or unclassified material separate blocks of Measured and/or Indicated Resources, or individual drill holes are surrounded by annuli of Measured and Indicated Resource blocks. Not only are such outputs potentially misleading, since they ignore fundamentals such as continuity of geology and mineralisation between drill holes and the imprecise nature of resource estimation, they can also cause substantial problems for engineers undertaking mine designs and estimating ore reserves, particularly for underground mines. Competent Persons for mineral resources must keep in mind the purpose of their work, and should use their experience and judgement to avoid or smooth out æspotted dogÆ classifications, providing a result commensurate with the level of geological and resource estimation confidence. For their part, ore reserve Competent Persons must understand the resource estimation and classification process, and should question resource classifications that are not consistent with the level of geological and resource estimation confidence.
Citation

APA: A Allman D P. Carville P T. Stoker  (2006)  Mineral Resource Classification - It's Time to Shoot the 'Spotted Dog'!

MLA: A Allman D P. Carville P T. Stoker Mineral Resource Classification - It's Time to Shoot the 'Spotted Dog'!. The Australasian Institute of Mining and Metallurgy, 2006.

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