Geostatistical Methods for Reservoir Geophysics
This book presents a geostatistical framework for data integration into subsurface Earth modeling. It offers extensive geostatistical background information, including detailed descriptions of the main geostatistical tools traditionally used in Earth rela
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Leonardo Azevedo Amílcar Soares
Geostatistical Methods for Reservoir Geophysics
Advances in Oil and Gas Exploration & Production Series editor Rudy Swennen, Department of Earth and Environmental Sciences, K.U. Leuven, Heverlee, Belgium
The book series Advances in Oil and Gas Exploration & Production publishes scientific monographs on a broad range of topics concerning geophysical and geological research on conventional and unconventional oil and gas systems, and approaching those topics from both an exploration and a production standpoint. The series is intended to form a diverse library of reference works by describing the current state of research on selected themes, such as certain techniques used in the petroleum geoscience business or regional aspects. All books in the series are written and edited by leading experts actively engaged in the respective field. The Advances in Oil and Gas Exploration & Production series includes both single and multi-authored books, as well as edited volumes. The Series Editor, Dr. Rudy Swennen (KU Leuven, Belgium), is currently accepting proposals and a proposal form can be obtained from our representative at Springer, Dr. Alexis Vizcaino ([email protected]).
More information about this series at http://www.springer.com/series/15228
Leonardo Azevedo Amílcar Soares •
Geostatistical Methods for Reservoir Geophysics
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Leonardo Azevedo Instituto Superior Tecnico CERENA Lisboa Portugal
Amílcar Soares Instituto Superior Tecnico CERENA Lisboa Portugal
ISSN 2509-372X ISSN 2509-3738 (electronic) Advances in Oil and Gas Exploration & Production ISBN 978-3-319-53200-4 ISBN 978-3-319-53201-1 (eBook) DOI 10.1007/978-3-319-53201-1 Library of Congress Control Number: 2017930189 © Springer International Publishing AG 2017 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, 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. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Printed on acid-free paper This Springer imprint i
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