Artículos relacionados a Machine Learning Applications in Subsurface Energy...

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

 
9781032074528: Machine Learning Applications in Subsurface Energy Resource Management: State of the Art and Future Prognosis
Tapa dura
ISBN 10: 1032074523 ISBN 13: 9781032074528
Editorial: CRC Press, 2022

Sinopsis

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
CRC Press
Año de publicación
2022
Idioma
Inglés
ISBN 10 
1032074523
ISBN 13 
9781032074528
Encuadernación
Tapa dura
Número de edición
1
Número de páginas
360
Editor
Mishra Srikanta
Contacto del fabricante
Taylor and Francis, GPSR Taylor and Francis
gpsr@taylorandfrancis.com

Taylor & Francis Verlag GmbH, Kaufingerstraße 24
München
80331
Alemania