Machine Learning and Data Science in the Oil and Gas Industry: Best Practices, Tools, and Case Studies


Machine Learning and Data Science in the Oil and Gas Industry: Best Practices, Tools, and Case Studies
by: Patrick Bangert
Publisher finelybook 出版社: Gulf Professional Publishing; (March 22, 2021)
Language 语言: English
Print Length 页数: 306 pages
ISBN-10: 0128207140
ISBN-13: 9780128207147


Book Description
By finelybook

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.

相关文件下载地址

打赏
未经允许不得转载:finelybook » Machine Learning and Data Science in the Oil and Gas Industry: Best Practices, Tools, and Case Studies

评论 抢沙发

觉得文章有用就打赏一下

您的打赏,我们将继续给力更多优质内容

支付宝扫一扫

微信扫一扫