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Iron Grades Estimation Using Bayesian Sequential Simulation - Lalor Case Study.

Bouchedda, Abderrezak; Blouin, Martin; Tirdad, Shiva; Gloaguen, Erwan; Giroux, Bernard (2016). Iron Grades Estimation Using Bayesian Sequential Simulation - Lalor Case Study. In: Near Surface Geoscience 2016 - First Conference on Geophysics for Mineral Exploration and Mining, 4-8 septembre 2016, Barcelone, Espagne.

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Résumé

This work presents the first step of the use of a Bayesian sequential simulation algorithm to estimate the iron grades of Lalor VMS deposit. The approach is based on an in situ petrophysical relationship between iron grades and both conductivity and density. This statistical relationship is used to interpolate and extrapolate the iron grades over a 3D conductivity and density volume. Furthermore, this stochastic algorithm allows estimating the spatial uncertainty among a set of equiprobable realizations

Type de document: (Article)
Mots-clés libres: géophysique
Centre: Centre Eau Terre Environnement
Date de dépôt: 20 oct. 2016 19:20
Dernière modification: 20 oct. 2016 19:20
URI: http://espace.inrs.ca/id/eprint/4829

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