Skip to main content

Machine Learning and Data Science in the Oil and Gas Industry

Best Practices, Tools, and Case Studies

  • 1st Edition - March 4, 2021
  • Editor: Patrick Bangert
  • Language: English
  • Paperback ISBN:
    9 7 8 - 0 - 1 2 - 8 2 0 7 1 4 - 7
  • eBook ISBN:
    9 7 8 - 0 - 1 2 - 8 2 0 9 1 4 - 1

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 l… Read more

Machine Learning and Data Science in the Oil and Gas Industry

Purchase options

Limited Offer

Save 50% on book bundles

Immediately download your ebook while waiting for your print delivery. No promo code is needed.

Book bundle cover eBook and print

Institutional subscription on ScienceDirect

Request a sales quote

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.