Reservoir Engineering

The oil and gas industry has been solving problems related to automation and optimization from the very beginning. Modern technology and data-driven algorithms have provided the industry with an additional mechanism to solve problems and gain insights. Ma

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Yogendra Narayan Pandey Ayush Rastogi Sribharath Kainkaryam Srimoyee Bhattacharya Luigi Saputelli

Machine Learning in the Oil and Gas Industry Including Geosciences, Reservoir Engineering, and Production Engineering with Python Yogendra Narayan Pandey Ayush Rastogi Sribharath Kainkaryam Srimoyee Bhattacharya Luigi Saputelli

Machine Learning in the Oil and Gas Industry Yogendra Narayan Pandey Houston, TX, USA

Ayush Rastogi Denver, CO, USA

Sribharath Kainkaryam Houston, TX, USA

Srimoyee Bhattacharya Houston, TX, USA

Luigi Saputelli Houston, TX, USA ISBN-13 (pbk): 978-1-4842-6093-7 https://doi.org/10.1007/978-1-4842-6094-4

ISBN-13 (electronic): 978-1-4842-6094-4

Copyright © 2020 by Yogendra Narayan Pandey, Ayush Rastogi, Sribharath Kainkaryam, Srimoyee Bhattacharya, and Luigi Saputelli 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. Trademarked names, logos, and images may appear in this book. Rather than use a trademark symbol with every occurrence of a trademarked name, logo, or image we use the names, logos, and images only in an editorial fashion and to the benefit of the trademark owner, with no intention of infringement of the trademark. The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein. Managing Director, Apress Media LLC: Welmoed Spahr Acquisitions Editor: Celestin Suresh John Development Editor: James Markham Coordinating Editor: Aditee Mirashi Cover designed by eStudioCalamar Cover image designed by Freepik (www.freepik.com) Distributed to the book trade worldwide by Springer Science+Business Media New York, 1 New York Plaza, Suite 4600, New York, NY 10004-1562, USA. Phone 1-800-SPRINGER, fax (201) 348-4505, e-mail [email protected], or visit www.springeronline.com. Apress Media, LLC is a California LLC and the sole member (owner) is Springer Science + Business Media Finance Inc (SSBM Finance Inc). SSBM Finance Inc is a Delaware corporation. For information on translations, please e-mail [email protected]; for reprint, paperback, or audio rights, please e-mail [email protected]. Apress titles may be purchased in bulk for

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