Uncertainty of the mineral resource and ore reserve models are estimated using stochastic simulation techniques. The approach is referred to as conditional simulation and represents application of the Monte Carlo simulation principles to the regionalised variables. Conditional simulation generates unlimited number of equiprobable models (realisations) of the studied geological body. All realisations honour statistical and geostatistical characteristics of the constraining data however differ in details. Thus, by statistical analysis of the differences between simulated realisations the uncertainty of the geostatistical model can be accurately quantified.
CITATION STYLE
Abzalov, M. (2016). Grade uncertainty. In Modern Approaches in Solid Earth Sciences (Vol. 12, pp. 323–333). Springer International Publishing. https://doi.org/10.1007/978-3-319-39264-6_25
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