eBook - ePub

Machine Learning and Data Science in the Oil and Gas Industry

Name: Machine Learning and Data Science in the Oil and Gas Industry
ISBN: 9780128209141

Best Practices, Tools, and Case Studies

Patrick Bangert,

306 pages
English
ePUB (mobile friendly)
Available on iOS & Android

eBook - ePub

Machine Learning and Data Science in the Oil and Gas Industry

Best Practices, Tools, and Case Studies

Patrick Bangert,

About this book

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. - Chart an overview of the techniques and tools of machine learning including all the non-technological aspects necessary to be successful - Gain practical understanding of machine learning used in oil and gas operations through contributed case studies - Learn change management skills that will help gain confidence in pursuing the technology - Understand the workflow of a full-scale project and where machine learning benefits (and where it does not)

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Yes, you can access Machine Learning and Data Science in the Oil and Gas Industry by Patrick Bangert in PDF and/or ePUB format, as well as other popular books in Physical Sciences & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.