Product Description
Machine Learning and Data Science in the Oil and Gas Industry
Best Practices, Tools, and Case Studies
Helps readers understand the terminology, technology and skills needed to apply machine learning to oil and gas operations
Patrick Bangert (Edited by)
9780128207147
Paperback / softback, published 8 March 2021
306 pages
22.9 x 15.2 x 2 cm, 0.57 kg
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]
Machine Learning and Data Science in the Oil and Gas Industry Bangert Paperback
Machine Learning and Data Science in the Oil and Gas Industry
Best Practices, Tools, and Case Studies
Helps readers understand the terminology, technology and skills needed to apply machine learning to oil and gas operations
Patrick Bangert (Edited by)
9780128207147
Paperback / softback, published 8 March 2021
306 pages
22.9 x 15.2 x 2 cm, 0.57 kg
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]
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