Shale Analytics Data-Driven Analytics in Unconventional Resources
This book describes the application of modern information technology to reservoir modeling and well management. Data Driven Analytics in Unconventional Resources looks specifically at reservoir modeling and production management of shale reservoirs, since
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Shale Analytics Data-Driven Analytics in Unconventional Resources
Shale Analytics
Shahab D. Mohaghegh
Shale Analytics Data-Driven Analytics in Unconventional Resources
123
Shahab D. Mohaghegh Petroleum and Natural Gas Engineering West Virginia University Morgantown, WV USA and Intelligent Solutions, Inc. Morgantown, WV USA
ISBN 978-3-319-48751-9 DOI 10.1007/978-3-319-48753-3
ISBN 978-3-319-48753-3
(eBook)
Library of Congress Control Number: 2016955428 © 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. Printed on acid-free paper This Springer imprint is published by Springer Nature The registered company is Springer International Publishing AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
To Dorna that gives my life meaning
Foreword
It is an honor and a pleasure to be asked to write the Foreword to this much anticipated book on the soft-computing, data-driven methodologies applied across unconventional reservoirs so as to harness the power of raw data and generate actionable knowledge. We are taken along a well-documented but still bumpy road that starts with an introduction to the shale revolution and draws salient comparisons between the traditional modeling of these unconventional resources and the non-deterministic and stochastic workflows prevalent in all industries that strive to analyze vast quantities of raw data to address and solve business problems. We are enlightened as to an array of analytical methodologies that have successfully proven to be not only pertinent in the oil and gas industry but also computer resource friendly. Methodologies drawn from artificial intelligence and data mining schools of thought, such as artificial neural networks, fuzzy logic, fuzzy cluster analysis and evolutionary computing, the last of which is inspired by the Darwinian Theory of Evolution through Natural Selection. The book inspires geoscientists entrenched in first principles and engineering concep
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