SciELO - Scientific Electronic Library Online

vol.114 issue8Limitations 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 author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Journal of the Southern African Institute of Mining and Metallurgy

On-line version ISSN 2411-9717
Print version ISSN 0038-223X


CAO, R.; ZEE MA, Y.  and  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.

Keywords : facies modelling; propensity; multilevel or hierarchical modeling; objectbased modeling; collocated cosimulation; porosity; permeability.

        · text in English     · English ( pdf )


Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License