Simulation of mineral grades with hard and soft conditioning data: application to a porphyry copper deposit

DOI10.1007/s10596-008-9106-xzbMath1171.86377OpenAlexW1977759147MaRDI QIDQ732185

Lucía N. Robles, Xavier Emery

Publication date: 9 October 2009

Published in: Computational Geosciences (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10533/142481

zbMATH Keywords

Gibbs samplergeostatisticsconditional simulationspatial trendssoft conditioning data

Mathematics Subject Classification ID

Geostatistics (86A32) Computational methods for problems pertaining to geophysics (86-08)

Related Items (1)

Construction and efficient implementation of adaptive objective-based designs of experiments

Uses Software

• GSLIB

Cites Work

• Rate of convergence of the Gibbs sampler in the Gaussian case
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
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