Machine Learning and Data Science in the Oil and Gas Industry: Best Practices, Tools, and Case Studies
Year: 2021 Language: english Author: Patrick Bangert Publisher: Elsevier Edition: 1st ISBN: 978-0-12-820714-7 Format: PDF Quality: eBook Pages count: 274 Description: 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.
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Machine Learning and Data Science in the Oil and Gas Industry: Best Practices, Tools, and Case Studies
Year: 2021
Language: english
Author: Patrick Bangert
Publisher: Elsevier
Edition: 1st
ISBN: 978-0-12-820714-7
Format: PDF
Quality: eBook
Pages count: 274
Description: 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.
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