Machine Learning Guide for Oil and Gas Using Python

A Step-by-Step Breakdown with Data, Algorithms, Codes, and Applications

Hoss Belyadi, Alireza Haghighat
Elsevier S&T
476 pages
ISBN: 978-0128219294
April 2021

This book is a critical training and resource tool to help engineers understand machine learning theory and practice, specifically referencing use cases in oil and gas. It provides step-by-step examples of Python application in various oil and gas scenarios, such as well testing, shale reservoirs and production optimization. While similar resources are often too mathematical, this book balances theory with applications, including use cases that help solve different oil and gas data challenges.