Machine Learning Applications in Subsurface Energy Resource Management: State of the Art and Future Prognosis...

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Srikanta Mishra

Machine Learning Applications in Subsurface Energy Resource Management

State of the Art and Future Prognosis

Srikanta Mishra

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Hardback

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English

CRC Press
27 December 2022

Geochemistry; Energy technology & engineering; Automatic control engineering; Machine learning

The utilization of machine learning (ML) techniques to understand hidden patterns and build data-driven predictive models from complex multivariate datasets is rapidly increasing in many applied science and engineering disciplines, including geo-energy. Motivated by these developments, Machine Learning Applications in Subsurface Energy Resource Management presents a current snapshot of the state of the art and future outlook for ML applications to manage subsurface energy resources (e.g., oil and gas, geologic carbon sequestration, and geothermal energy).

Covers ML applications across multiple application domains (reservoir characterization, drilling, production, reservoir modeling, and predictive maintenance)

Offers a variety of perspectives from authors representing operating companies, universities, and research organizations

Provides an array of case studies illustrating the latest applications of several ML techniques

Includes a literature review and future outlook for each application domain

This book is targeted at practicing petroleum engineers or geoscientists interested in developing a broad understanding of ML applications across several subsurface domains. It is also aimed as a supplementary reading for graduate-level courses and will also appeal to professionals and researchers working with hydrogeology and nuclear waste disposal.

Edited by: Srikanta Mishra
Imprint: CRC Press
Country of Publication: United Kingdom
Dimensions: Height: 229mm, Width: 152mm,
Weight: 635g
ISBN: 9781032074528
ISBN 10: 1032074523
Pages: 360
Publication Date: 27 December 2022
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

Dr. Srikanta Mishra is Senior Research Leader and Technical Director for Geo-energy Resource Modeling and Analytics at Battelle Memorial Institute, the world’s largest independent contract R&D organization. He is nationally and internationally recognized for his expertise in developing and communicating physics-based and data-driven predictive models for subsurface resource management. Dr. Mishra currently serves as the Technical Lead of the SMART (Science Informed Machine Learning for Accelerating Real-time Decisions for Subsurface applications) initiative, organized by the US Department of Energy and involving multiple national laboratories and universities. He was a recipient of the Society of Petroleum Engineers (SPE) Distinguished Member Award in 2021, and also served as a Global Distinguished Lecturer on Big Data Analytics for SPE during 2018–19 and received the 2022 SPE Data Science and Engineering Analytics Award.