eBook - ePub

Machine Learning Guide for Oil and Gas Using Python

Name: Machine Learning Guide for Oil and Gas Using Python
ISBN: 9780128219300

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

Hoss Belyadi,

Alireza Haghighat,

476 pages
English
ePUB (mobile friendly)
Available on iOS & Android

eBook - ePub

Machine Learning Guide for Oil and Gas Using Python

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

Hoss Belyadi,

Alireza Haghighat,

About this book

Machine Learning Guide for Oil and Gas Using Python: A Step-by-Step Breakdown with Data, Algorithms, Codes, and Applications delivers a critical training and resource tool to help engineers understand machine learning theory and practice, specifically referencing use cases in oil and gas. The reference moves from explaining how Python works to step-by-step examples of utilization in various oil and gas scenarios, such as well testing, shale reservoirs and production optimization. Petroleum engineers are quickly applying machine learning techniques to their data challenges, but there is a lack of references beyond the math or heavy theory of machine learning. Machine Learning Guide for Oil and Gas Using Python details the open-source tool Python by explaining how it works at an introductory level then bridging into how to apply the algorithms into different oil and gas scenarios. 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. - Helps readers understand how open-source Python can be utilized in practical oil and gas challenges - Covers the most commonly used algorithms for both supervised and unsupervised learning - Presents a balanced approach of both theory and practicality while progressing from introductory to advanced analytical techniques

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Yes, you can access Machine Learning Guide for Oil and Gas Using Python by Hoss Belyadi,Alireza Haghighat in PDF and/or ePUB format, as well as other popular books in Physical Sciences & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.