Quantitative Geosciences: Data Analytics, Geostatistics, Reservoir Characterization and Modeling
Earth science is becoming increasingly quantitative in the digital age. Quantification of geoscience and engineering problems underpins many of the applications of big data and artificial intelligence. This book presents quantitative geosciences in t
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Quantitative Geosciences: Data Analytics, Geostatistics, Reservoir Characterization and Modeling
Quantitative Geosciences: Data Analytics, Geostatistics, Reservoir Characterization and Modeling
Y. Z. Ma
Quantitative Geosciences: Data Analytics, Geostatistics, Reservoir Characterization and Modeling
Y. Z. Ma Schlumberger Denver, CO, USA
With contributions by Xu Zhang and Renyi Cao in Chapter 23, and E. Gomez, W. R. Moore, D. Phillips, Q. Yan, M. Belobraydic, O. Gurpinar and X. Zhang in Chapter 24. ISBN 978-3-030-17859-8 ISBN 978-3-030-17860-4 https://doi.org/10.1007/978-3-030-17860-4
(eBook)
© Springer Nature Switzerland AG 2019 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. Cover illustration: The depicted image is a reservoir model of the Avalon shale unconventional play in Southern New Mexico. This model integrates 3D seismic data, wireline logs, stratigraphic analysis, interpreted formation markers, seismic inversion, geobodies, facies and petrophysical properties. It shows that in a digital world, geoscience analysis integrates multidisciplinary data and methods (Image: Christopher Dorion) This Springer imprint is published by the registered company Springer Nature Switzerland AG. The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Preface
The significant problems we face can’t be solved at the same level of thinking we were at when we created them. (Unknown)
This book presents quantitative methods and applications of integrated descriptive-quantitative geoscience analysis to reservoir characterization and modeling. In the last three decades, quantitative analysis of geoscience data has increased significantly. However, the exposure of quantitative geosciences in literature has been uneven in that significant gaps exist between descriptive geosciences and quantitative geosciences. Quantitative analysis can be effective in
