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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 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.

Hydrocarbon reservoirs -- Computer simulation. --- Hydrocarbon reservoirs -- Mathematical models. --- Petroleum -- Geology -- Computer simulation. --- Petroleum -- Geology -- Mathematical models. --- Rocks -- Permeability -- Computer simulation. --- Rocks -- Permeability -- Mathematical models. --- Geology --- Geography --- Earth & Environmental Sciences --- Geology - General --- Physical Geography --- Statistical methods --- Statistical methods. --- Geological statistics --- Geostatistics --- Earth sciences. --- Statistics. --- Earth Sciences. --- Earth Sciences, general. --- Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.

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The Stanford Geostatistical Modeling Software (SGeMS) is an open-source computer package for solving problems involving spatially related variables. It provides geostatistics practitioners with a user-friendly interface, an interactive 3-D visualization, and a wide selection of algorithms. This practical book provides a step-by-step guide to using SGeMS algorithms. It explains the underlying theory, demonstrates their implementation, discusses their potential limitations, and helps the user make an informed decision about the choice of one algorithm over another. Users can complete complex tasks using the embedded scripting language, and new algorithms can be developed and integrated through the SGeMS plug-in mechanism. SGeMS was the first software to provide algorithms for multiple-point statistics, and the book presents a discussion of the corresponding theory and applications. Incorporating the full SGeMS software (now available from www.cambridge.org/9781107403246), this book is a useful user-guide for Earth Science graduates and researchers, as well as practitioners of environmental mining and petroleum engineering.

Geological modeling --- Geology --- Basic Sciences. Statistics --- Computer simulation. --- Statistical methods. --- Statistical methods --- Applied Statistics. --- SGeMS (Computer software). --- SGeMS (Computer software) --- Modèles en géologie --- Géologie --- Géostatistique --- Simulation par ordinateur --- Méthodes statistiques --- Computer simulation --- Géostatistique. --- Simulation par ordinateur. --- Méthodes statistiques. --- Geognosy --- Geoscience --- Earth sciences --- Natural history --- Geological statistics --- Geostatistics --- Modeling, Geological --- Models and modelmaking --- Stanford Geostatistical Modeling Software --- Geological modeling - Computer simulation --- Geological modeling - Statistical methods --- Geology - Computer simulation --- Geology - Statistical methods --- Geology - Statistical methods - Software --- Modèles en géologie --- Géologie --- Géostatistique. --- Méthodes statistiques. --- Méthodes statistiques