Machine Learning and Data Science in the Oil and Gas Industry - Best Practices, Tools, and Case Studies (Paperback)

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.

General

Imprint:	Gulf Professional Publishing
Country of origin:	United States
Release date:	March 2021
First published:	2021
Editors:	Patrick Bangert
Dimensions:	229 x 152 x 19mm (L x W x T)
Format:	Paperback
Pages:	306
ISBN-13:	978-0-12-820714-7
Categories:	Books > Professional & Technical > Energy technology & engineering > Fossil fuel technologies > Gas technology Books > Professional & Technical > Energy technology & engineering > Fossil fuel technologies > Petroleum technology Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN:	0-12-820714-0
Barcode:	9780128207147

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