Plurigaussian Simulations in Geosciences
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, Ma
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Margaret Armstrong Alain Galli He´le`ne Beucher Gae¨lle Le Loc’h Didier Renard Brigitte Doligez Re´mi Eschard Franc¸ois Geffroy l
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Plurigaussian Simulations in Geosciences
Margaret Armstrong Alain Galli Cerna Mines-Paristech 60 boulevard Saint Michel 75272 Paris France [email protected] [email protected]
Franc¸ois Geffroy Geovariances 49 bis avenue Franklin Roosevelt 77212 Avon France [email protected]
He´le`ne Beucher Didier Renard Gae¨lle Le Loc’h Centre de Ge´osciences Mines-Paristech 35 rue St. Honore´ 77305 Fontainebleau France [email protected] [email protected] [email protected]
Brigitte Doligez Re´mi Eschard IFP Energies Nouvelles 1-4 avenue de Bois Pre´au 92852 Rueil-Malmaison France [email protected] [email protected]
ISBN 978-3-642-19606-5 e-ISBN 978-3-642-19607-2 DOI 10.1007/978-3-642-19607-2 Springer Heidelberg Dordrecht London New York Library of Congress Control Number: 2011930790 # Springer-Verlag Berlin Heidelberg 2011 This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilm or in any other way, and storage in data banks. Duplication of this publication or parts thereof is permitted only under the provisions of the German Copyright Law of September 9, 1965, in its current version, and permission for use must always be obtained from Springer. Violations are liable to prosecution under the German Copyright Law. The use of general descriptive names, registered names, trademarks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. Cover design: deblik, Berlin, Heidelberg Printed on acid-free paper Springer is part of Springer ScienceþBusiness Media (www.springer.com)
Preface
Although many papers have presented different aspects of truncated gaussian and plurigaussian simulations, no single work gives a comprehensive view of the theory and practical applications of this new and interesting geostatistical simulation method. Our aim in writing the book has been to encourage readers to test this method of simulating the geometry of reservoirs and ore-bodies for themselves. That is why we wrote a suite of programs called Pluridemo to demonstrate how the method works. Initially this material was developed as the notes for short courses on plurigaussian simulations. The first such course was given in Fontainebleau in September 1998. Others have been given at Petrobras training centre in Rio de Janeiro in 1999 and at the IAMG annual conference in Trondheim in 1999. The original impetus for developing the truncated gaussian method came from Georges Matheron in response to a request from the Institut Franc¸ais de Pe´trole, in particular from Lucien Montade
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