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Plurigaussian Simulations in Geosciences

by Armstrong, Margaret.
Authors: Galli, Alain.%author. | Beucher, Hélène.%author. | Loc'h, Gaelle.%author. | Renard, Didier.%author. | Doligez, Brigitte.%author. | Eschard, Rémi.%author. | Geffroy, Francois.%author. | SpringerLink (Online service) Physical details: X, 176p. 103 illus., 36 illus. in color. online resource. ISBN: 3642196071 Subject(s): Geography. | Earth Sciences. | Earth Sciences, general. | Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
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E-Book E-Book AUM Main Library 550 (Browse Shelf) Not for loan

Introduction -- Basic properties of indicators -- Proportions -- Thresholds -- Variograms -- Gibbs sampler -- Case study -- Case study -- Case study.-Freeware -- References -- Index.

Simulation is the fastest developing branch of geostatistics and simulating facies inside reservoirs and orebodies is the most exciting part of this. Several methods have been developed to do this (sequential indicator simulations, Boolean simulations, Markov chains and plurigaussian simulations). This book focuses on the last type of simulations. It presents the theory required to understand the method, along practical examples of applications in mining and the oil industry as well as tutorial exercises. Demonstration software to illustrate how these simulations work  is available on http://pluridemo.geosciences.mines-paristech.fr Since the publication of the first edition, enormous numbers of papers have appeared in the literature on the subject. Plurigaussian simulations are now the preferred method for simulating facies in both mining & the oil industry. The new edition contains new case studies in both mining & petroleum, together with an extensively updated theory section.

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