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Linear Geostatistics covers basic geostatistics from the underlying statistical assumptions, the variogram calculation and modelling through to kriging. The underlying philosophy is to give the students an indepth understanding of the relevant theory and how to put it into practice. This means going into the theory in more detail than most books do, and also linking it with applications. It is assumed that readers, students and professionals alike, are familiar with basic probability and statistics, and matrix algebra needed for solving linear systems. Some reminders on these are given in an appendix at the end of the book. A set of exercises is integrated into the text.
Mine valuation --- Basic Sciences. Statistics --- Statistical methods. --- Applied Statistics --- Mechanical Engineering --- Engineering & Applied Sciences --- Mining Engineering --- Statistical methods --- Applied Statistics. --- Geology. --- Earth sciences. --- Applied mathematics. --- Engineering mathematics. --- Statistics . --- Earth Sciences, general. --- Mathematical and Computational Engineering. --- Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. --- Statistical analysis --- Statistical data --- Statistical science --- Mathematics --- Econometrics --- Engineering --- Engineering analysis --- Mathematical analysis --- Geosciences --- Environmental sciences --- Physical sciences --- Geognosy --- Geoscience --- Earth sciences --- Natural history
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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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