TY  - BOOK
AU  - Armstrong,Margaret
AU  - Galli,Alain
AU  - Beucher,Hélène
AU  - Loc'h,Gaelle
AU  - Renard,Didier
AU  - Doligez,Brigitte
AU  - Eschard,Rémi
AU  - Geffroy,Francois
ED  - SpringerLink (Online service)
TI  - Plurigaussian Simulations in Geosciences
SN  - 9783642196072
AV  - GB3-5030 
U1  - 550 23
PY  - 2011///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg, Imprint: Springer
KW  - Geography
KW  - Earth Sciences
KW  - Earth Sciences, general
KW  - Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
N1  - Introduction -- Basic properties of indicators -- Proportions -- Thresholds -- Variograms -- Gibbs sampler -- Case study -- Case study  -- Case study.-Freeware -- References -- Index
N2  - 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
UR  - http://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-3-642-19607-2
ER  -