Machine Learning and Data Science in the Oil and Gas Industry | Best Practices, Tools, and Case Studies

Patrick Bangert

ISBN 10: 0128207140 ISBN 13: 9780128207147

Editorial: Gulf Professional Publishing, 2021

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Machine Learning and Data Science in the Oil and Gas Industry explains how machine learning can be specifically tailored to oil and gas use cases. Petroleum engineers will learn when to use machine learning, how it is already used in oil and gas operations, and how to manage the data stream moving forward. Practical in its approach, the book explains all aspects of a data science or machine learning project, including the managerial parts of it that are so often the cause for failure. Several real-life case studies round out the book with topics such as predictive maintenance, soft sensing, and forecasting. Viewed as a guide book, this manual will lead a practitioner through the journey of a data science project in the oil and gas industry circumventing the pitfalls and articulating the business value.

Acerca del autor: Dr. Patrick Bangert is the Vice President of Artificial Intelligence at Samsung SDS where he leads both the AI software development and AI consulting groups that each provide various offerings to the industry. He is the founder and Board Chair of Algorithmica Technologies, providing real-time process modeling, optimization, and predictive maintenance solutions to the process industry with a focus on chemistry and power generation. His doctorate from UCL specialized in applied mathematics, and his academic positions at NASA’s Jet Propulsion Laboratory and Los Alamos National Laboratory made use of optimization and machine learning for magnetohydrodynamics and particle accelerator experiments. He has published extensively across optimization and machine learning and their relevant applications in the real world.

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T�tulo: Machine Learning and Data Science in the Oil...
Editorial: Gulf Professional Publishing
A�o de publicaci�n: 2021
Encuadernaci�n: Taschenbuch
Condici�n: Neu

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Machine Learning and Data Science in the Oil and Gas Industry: Best Practices, Tools, and Case Studies

Bangert, Patrick

Publicado por Gulf Professional Publishing, 2021

ISBN 10: 0128207140 ISBN 13: 9780128207147

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Machine Learning and Data Science in the Oil and Gas Industry

Patrick Bangert

Publicado por Elsevier Science & Technology M�r 2021, 2021

ISBN 10: 0128207140 ISBN 13: 9780128207147

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Taschenbuch. Condici�n: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Machine Learning and Data Science in the Oil and Gas Industry explains how machine learning can be specifically tailored to oil and gas use cases. Petroleum engineers will learn when to use machine learning, how it is already used in oil and gas operations, and how to manage the data stream moving forward. Practical in its approach, the book explains all aspects of a data science or machine learning project, including the managerial parts of it that are so often the cause for failure. Several real-life case studies round out the book with topics such as predictive maintenance, soft sensing, and forecasting. Viewed as a guide book, this manual will lead a practitioner through the journey of a data science project in the oil and gas industry circumventing the pitfalls and articulating the business value. 306 pp. Englisch. N� de ref. del art�culo: 9780128207147

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Machine Learning and Data Science in the Oil and Gas Industry: Best Practices, Tools, and Case Studies

Bangert, Patrick (Editor)

Publicado por Gulf Professional Pub, 2021

ISBN 10: 0128207140 ISBN 13: 9780128207147

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Machine Learning and Data Science in the Oil and Gas Industry

Bangert Patrick

Publicado por Elsevier, 2021

ISBN 10: 0128207140 ISBN 13: 9780128207147

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Machine Learning and Data Science in the Oil and Gas Industry: Best Practices, Tools, and Case Studies

Patrick Bangert

Publicado por Elsevier Science & Technology, 2021

ISBN 10: 0128207140 ISBN 13: 9780128207147

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Machine Learning and Data Science in the Oil and Gas Industry : Best Practices, Tools, and Case Studies

Patrick Bangert

Publicado por Elsevier Science & Technology, Gulf Professional Publishing, 2021

ISBN 10: 0128207140 ISBN 13: 9780128207147

Nuevo Taschenbuch

Impresi�n bajo demanda

Librería: AHA-BUCH GmbH, Einbeck, Alemania

Calificaci�n del vendedor: 5 de 5 estrellas

Taschenbuch. Condici�n: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Machine Learning and Data Science in the Oil and Gas Industry explains how machine learning can be specifically tailored to oil and gas use cases. Petroleum engineers will learn when to use machine learning, how it is already used in oil and gas operations, and how to manage the data stream moving forward. Practical in its approach, the book explains all aspects of a data science or machine learning project, including the managerial parts of it that are so often the cause for failure. Several real-life case studies round out the book with topics such as predictive maintenance, soft sensing, and forecasting. Viewed as a guide book, this manual will lead a practitioner through the journey of a data science project in the oil and gas industry circumventing the pitfalls and articulating the business value. N� de ref. del art�culo: 9780128207147

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