Joint simulation of compositional and categorical data via direct sampling technique – Application to improve mineral resource confidence

Volume: 122, Pages: 87 - 102
Published: Jan 1, 2019
Abstract
Ore deposits usually consist of ore materials with different discrete (e.g. rock and alteration types) and continuous (e.g. geochemical and mineral composition) features. Financial feasibility studies are highly dependent on the modelling of these features and their associated joint uncertainties. Few geostatistical techniques have been developed for the joint modelling of high-dimensional mixed data (continuous and categorical) or constrained...
Paper Details
Title
Joint simulation of compositional and categorical data via direct sampling technique – Application to improve mineral resource confidence
Published Date
Jan 1, 2019
Volume
122
Pages
87 - 102
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