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vol.114 número8Factorial kriging for multiscale modellingOn the reduction of algorithmic smoothing of kriged estimates índice de autoresíndice de assuntospesquisa de artigos
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Journal of the Southern African Institute of Mining and Metallurgy

versão On-line ISSN 2411-9717

Resumo

ASSIBEY-BONSU, W.; MULLER, C.  e  PRETORIUS, H.. Application of a localized direct conditioning mineral resource modelling technique for medium- and long-term planning of underground mining operations. J. S. Afr. Inst. Min. Metall. [online]. 2014, vol.114, n.8, pp. 659-667. ISSN 2411-9717.

SYNOPSIS At the exploration stage for new mining projects or for medium- and long-term areas of existing mines (typical of South African gold mines), drilling data is on a relatively large grid. This grid is normally larger than the selective mining units (SMUs). Direct estimates for the SMUs and also of much larger block units will then be smoothed due to the information effect and the high error variance. Any capital-intensive project decisions made on the basis of any of the smoothed estimates will tend to misrepresent the economic value of the project or operation, i.e. the average grade of blocks above cut-off will be underestimated and the tonnage overestimated for cut-off grades below the mean grade of the orebody. This paper presents a direct approach technique for deriving recoverable resources, referred to as localized direct conditioning (LDC), designed to correct smoothing effects and also to provide support corrections.

Palavras-chave : direct conditioning; localized direct conditioning; smoothing effect; conditional biases; information effect; mine call factor; post-processing.

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