Plurigaussian Simulations in Geosciences [recurso electrónico] / by Margaret Armstrong, Alain Galli, Hélène Beucher, Gaelle Loc'h, Didier Renard, Brigitte Doligez, Rémi Eschard, Francois Geffroy.

Por: Armstrong, Margaret [author.]Colaborador(es): 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)Tipo de material: TextoTextoEditor: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2011Descripción: X, 176 p. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783642196072Tema(s): Geography | Earth Sciences | Earth Sciences, general | Statistics for Engineering, Physics, Computer Science, Chemistry and Earth SciencesFormatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD: 550 Clasificación LoC:GB3-5030QE1-996.5Recursos en línea: Libro electrónicoTexto
Contenidos:
Introduction -- Basic properties of indicators -- Proportions -- Thresholds -- Variograms -- Gibbs sampler -- Case study -- Case study -- Case study.-Freeware -- References -- Index.
En: Springer eBooksResumen: 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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Colección de Libros Electrónicos GB3 -5030 (Browse shelf(Abre debajo)) 1 No para préstamo 375888-2001

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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