A Primer on Machine Learning in Subsurface Geosciences by Shuvajit Bhattacharya

Description: A Primer on Machine Learning in Subsurface Geosciences by Shuvajit Bhattacharya This book provides readers with a timely review and discussion of the success, promise, and perils of machine learning in geosciences. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description This book provides readers with a timely review and discussion of the success, promise, and perils of machine learning in geosciences. It explores the fundamentals of data science and machine learning, and how their advances have disrupted the traditional workflows used in the industry and academia, including geology, geophysics, petrophysics, geomechanics, and geochemistry. It then presents the real-world applications and explains that, while this disruption has affected the top-level executives, geoscientists as well as field operators in the industry and academia, machine learning will ultimately benefit these users. The book is written by a practitioner of machine learning and statistics, keeping geoscientists in mind. It highlights the need to go beyond concepts covered in STAT 101 courses and embrace new computational tools to solve complex problems in geosciences. It also offers practitioners, researchers, and academics insights into how to identify, develop, deploy, and recommend fit-for-purpose machine learning models to solve real-world problems in subsurface geosciences. Author Biography Dr. Shuvajit Bhattacharya is a researcher at the Bureau of Economic Geology, the University of Texas at Austin. He is an applied geophysicist/petrophysicist specializing in seismic interpretation, petrophysical modeling, machine learning, and integrated subsurface characterization. He uses advanced computational technologies to solve complex problems in geosciences, which have societal and economic impacts. Dr. Bhattacharya has completed several projects in diverse geologic settings in the US, Norway, Australia, South Africa, and India. He worked in both academia and industry. He has published and presented more than 50 technical articles in peer-reviewed journals and conferences. His current research focuses on the pressing issues and frontier technologies in energy exploration, development, and subsurface fluid storage (carbon, hydrogen, and wastewater). He completed his Ph.D. at West Virginia University and an M.Sc. at the Indian Institute of Technology Bombay. Table of Contents Introduction.- Brief Review of Statistical Measures.- Basic Steps in Machine Learning and Deep Learning Models.- Brief Review of Popular Machine Learning and Deep Learning Algorithms.- Applications of ML/DL in Geophysics and Petrophysics Domain.- Applications of ML/DL in Geology Domain.- Multi-scale Data Integration and Analytics.- The Road Ahead. Feature Explores the benefits, problems, and applications of machine learning in a geosciences context Presents numerous applications of machine learning models, allowing readers to transpose methods to their real-world scenarios Provides an accessible review of algorithms, statistical measures and deep learning models Details ISBN3030717674 Author Shuvajit Bhattacharya Language English Year 2021 ISBN-10 3030717674 ISBN-13 9783030717674 Format Paperback DOI 10.1007/978-3-030-71768-1 Publisher Springer Nature Switzerland AG Series SpringerBriefs in Petroleum Geoscience & Engineering Edition 1st Imprint Springer Nature Switzerland AG Place of Publication Cham Country of Publication Switzerland Pages 172 Publication Date 2021-05-04 UK Release Date 2021-05-04 Illustrations 118 Illustrations, color; 12 Illustrations, black and white; XVII, 172 p. 130 illus., 118 illus. in color. Edited by Yucong Duan Birth 1968 Affiliation Yunnan Univ, China Position Associate Director Qualifications Ph.D. Edition Description 1st ed. 2021 Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:134002961;

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