Geological modelling and validation of geological interpretations via simulation and classification of quantitative covariates

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dc.contributor.authorAdeli, A.
dc.contributor.authorEmery, X.
dc.contributor.authorDowd, P.
dc.date.issued2018
dc.description.abstractThis paper proposes a geostatistical approach for geological modelling and for validating an interpreted geological model, by identifying the areas of an ore deposit with a high probability of being misinterpreted, based on quantitative coregionalised covariates correlated with the geological categories. This proposal is presented through a case study of an iron ore deposit at a stage where the only available data are from exploration drill holes. This study consists of jointly simulating the quantitative covariates with no previous geological domaining. A change of variables is used to account for stoichiometric closure, followed by projection pursuit multivariate transformation, multivariate Gaussian simulation, and conditioning to the drill hole data. Subsequently, a decision tree classification algorithm is used to convert the simulated values into a geological category for each target block and realisation. The determination of the prior (ignoring drill hole data) and posterior (conditioned to drill hole data) probabilities of categories provides a means of identifying the blocks for which the interpreted category disagrees with the simulated quantitative covariates.
dc.description.statementofresponsibilityAmir Adeli, Xavier Emery and Peter Dowd
dc.identifier.citationMinerals, 2018; 8(1):7-1-7-18
dc.identifier.doi10.3390/min8010007
dc.identifier.issn2075-163X
dc.identifier.issn2075-163X
dc.identifier.orcidDowd, P. [0000-0002-6743-5119]
dc.identifier.urihttp://hdl.handle.net/2440/116087
dc.language.isoen
dc.publisherMDPI
dc.rights© 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
dc.source.urihttps://doi.org/10.3390/min8010007
dc.subjectGeological uncertainty; geological modelling; geological misinterpretation; geostatistical simulation; classification
dc.titleGeological modelling and validation of geological interpretations via simulation and classification of quantitative covariates
dc.typeJournal article
pubs.publication-statusPublished

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