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

Rilegato

ISBN 10: 1032074523 ISBN 13: 9781032074528

Casa editrice: CRC Press, 2022

Riassunto

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.

Su questo libro

Informazioni sull'autore

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.

Dettagli dell'edizione

• Editore: CRC Press
• Data di pubblicazione: 2022
• Lingua: Inglese
• ISBN 10: 1032074523
• ISBN 13: 9781032074528
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 360
• Redattore: Mishra Srikanta
• Contatto del produttore: Taylor and Francis, GPSR Taylor and Francis; gpsr@taylorandfrancis.com; ; Taylor & Francis Verlag GmbH, Kaufingerstraße 24; München; 80331; Germania