Skip to Content
Machine Learning in the Oil and Gas Industry: Including Geosciences, Reservoir Engineering, and Production Engineering with Python
book

Machine Learning in the Oil and Gas Industry: Including Geosciences, Reservoir Engineering, and Production Engineering with Python

by Yogendra Narayan Pandey, Ayush Rastogi, Sribharath Kainkaryam, Srimoyee Bhattacharya, Luigi Saputelli
November 2020
Intermediate to advanced content levelIntermediate to advanced
315 pages
6h 3m
English
Apress

Overview

Apply machine and deep learning to solve some of the challenges in the oil and gas industry. The book begins with a brief discussion of the oil and gas exploration and production life cycle in the context of data flow through the different stages of industry operations. This leads to a survey of some interesting problems, which are good candidates for applying machine and deep learning approaches. The initial chapters provide a primer on the Python programming language used for implementing the algorithms; this is followed by an overview of supervised and unsupervised machine learning concepts. The authors provide industry examples using open source data sets along with practical explanations of the algorithms, without diving too deep into the theoretical aspects of the algorithms employed. Machine Learning in the Oil and Gas Industry covers problems encompassing diverse industry topics, including geophysics (seismic interpretation), geological modeling, reservoir engineering, and production engineering. 

Throughout the book, the emphasis is on providing a practical approach with step-by-step explanations and code examples for implementing machine and deep learning algorithms for solving real-life problems in the oil and gas industry.

 

What You Will Learn

  • Understanding the end-to-end industry life cycle and flow of data in the industrial operations of the oil and gas industry
  • Get the basic concepts of computer programming and machine and deep learning required for implementing the algorithms used
  • Study interesting industry problems that are good candidates for being solved by machine and deep learning
  • Discover the practical considerations and challenges for executing machine and deep learning projects in the oil and gas industry

Who This Book Is For 

Professionals in the oil and gas industry who can benefit from a practical understanding of the machine and deep learning approach to solving real-life problems.



Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Machine Learning Guide for Oil and Gas Using Python

Machine Learning Guide for Oil and Gas Using Python

Hoss Belyadi, Alireza Haghighat

Publisher Resources

ISBN: 9781484260944Purchase LinkPublisher Website