Browse content
Table of contents
Actions for selected chapters
- Full text access
- Book chapterAbstract only
Chapter 1 - Introduction
Pages 1-22 - Book chapterAbstract only
Chapter 2 - Intelligent models
Pages 23-50 - Book chapterAbstract only
Chapter 3 - Training and optimization algorithms
Pages 51-78 - Book chapterAbstract only
Chapter 4 - Application of intelligent models in reservoir and production engineering
Pages 79-227 - Book chapterAbstract only
Chapter 5 - Application of intelligent models in drilling engineering
Pages 229-278 - Book chapterAbstract only
Chapter 6 - Application of intelligent models in exploration engineering
Pages 279-294 - Book chapterAbstract only
Chapter 7 - Weaknesses and strengths of intelligent models in petroleum industry
Pages 295-301 - Book chapterNo access
Index
Pages 303-312
About the book
Description
Applications of Artificial Intelligence Techniques in the Petroleum Industry gives engineers a critical resource to help them understand the machine learning that will solve specific engineering challenges. The reference begins with fundamentals, covering preprocessing of data, types of intelligent models, and training and optimization algorithms. The book moves on to methodically address artificial intelligence technology and applications by the upstream sector, covering exploration, drilling, reservoir and production engineering. Final sections cover current gaps and future challenges.
Applications of Artificial Intelligence Techniques in the Petroleum Industry gives engineers a critical resource to help them understand the machine learning that will solve specific engineering challenges. The reference begins with fundamentals, covering preprocessing of data, types of intelligent models, and training and optimization algorithms. The book moves on to methodically address artificial intelligence technology and applications by the upstream sector, covering exploration, drilling, reservoir and production engineering. Final sections cover current gaps and future challenges.
Key Features
- Teaches how to apply machine learning algorithms that work best in exploration, drilling, reservoir or production engineering
- Helps readers increase their existing knowledge on intelligent data modeling, machine learning and artificial intelligence, with foundational chapters covering the preprocessing of data and training on algorithms
- Provides tactics on how to cover complex projects such as shale gas, tight oils, and other types of unconventional reservoirs with more advanced model input
- Teaches how to apply machine learning algorithms that work best in exploration, drilling, reservoir or production engineering
- Helps readers increase their existing knowledge on intelligent data modeling, machine learning and artificial intelligence, with foundational chapters covering the preprocessing of data and training on algorithms
- Provides tactics on how to cover complex projects such as shale gas, tight oils, and other types of unconventional reservoirs with more advanced model input
Details
ISBN
978-0-12-818680-0
Language
English
Published
2020
Copyright
Copyright © 2020 Elsevier Inc. All rights reserved.
Imprint
Gulf Professional Publishing