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vol.114 número8Limitations in accepting localized conditioning recoverable resource estimates for medium-term, long-term, and feasibility-stage mining projects, particularly for sections of an ore depositDesigning an advanced RC drilling grid for short-term planning in open pit mines: three case studies 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
versão impressa ISSN 0038-223X


CAO, R.; ZEE MA, Y.  e  GOMEZ, E.. Geostatistical applications in petroleum reservoir modelling. J. S. Afr. Inst. Min. Metall. [online]. 2014, vol.114, n.8, pp.625-631. ISSN 2411-9717.

SYNOPSIS Geostatistics was initially developed in the mining sector, but has been extended to other geoscience applications, including forestry, environmental science, soil science, and petroleum science and engineering. This paper presents methods, workflows, and pitfalls in using geostatistics for hydrocarbon resource modelling and evaluation. Examples are presented of indicator variogram analysis of categorical variables, lithofacies modelling by sequential indicator simulation and hierarchical workflow, porosity modelling by kriging and stochastic simulation, collocated cokriging for integrating seismic data, and collocated cosimulation for modelling porosity and permeability relationships. These methods together form a systematic approach that can be effectively used for modelling natural resources.

Palavras-chave : facies modelling; propensity; multilevel or hierarchical modeling; objectbased modeling; collocated cosimulation; porosity; permeability.

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