Machine Learning and Data Science in the Oil and Gas Industry
  • Release Date : 04 March 2021
  • Publisher : Gulf Professional Publishing
  • Genre : Computers
  • Pages : 306 pages
  • ISBN 13 : 9780128209141
Ratings: 4
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Download or read book entitled Machine Learning and Data Science in the Oil and Gas Industry by author: Patrick Bangert which was release on 04 March 2021 and published by Gulf Professional Publishing with total page 306 pages . This book available in PDF, EPUB and Kindle Format. 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)