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Plurigaussian Simulations in Geosciences (Hardcover, 2nd ed. 2011) Loot Price: R2,957
Discovery Miles 29 570
Plurigaussian Simulations in Geosciences (Hardcover, 2nd ed. 2011): Margaret Armstrong, Alain Galli, Helene Beucher, Gaelle...

Plurigaussian Simulations in Geosciences (Hardcover, 2nd ed. 2011)

Margaret Armstrong, Alain Galli, Helene Beucher, Gaelle Loch, Didier Renard, Brigitte Doligez, Remi Eschard, Francois Geffroy

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Loot Price R2,957 Discovery Miles 29 570 | Repayment Terms: R277 pm x 12*

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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 simulationsare nowthe 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."

General

Imprint: Springer-Verlag
Country of origin: Germany
Release date: August 2011
First published: 2011
Authors: Margaret Armstrong • Alain Galli • Helene Beucher • Gaelle Loch • Didier Renard • Brigitte Doligez • Remi Eschard • Francois Geffroy
Dimensions: 235 x 155 x 16mm (L x W x T)
Format: Hardcover - Cloth over boards
Pages: 176
Edition: 2nd ed. 2011
ISBN-13: 978-3-642-19606-5
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Earth & environment > Earth sciences > General
LSN: 3-642-19606-3
Barcode: 9783642196065

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