Cover for Applications of Artificial Intelligence Techniques in the Petroleum Industry

Applications of Artificial Intelligence Techniques in the Petroleum Industry

Book2020

Authors:

Abdolhossein Hemmati-Sarapardeh, Aydin Larestani, ... Sassan Hajirezaie

Applications of Artificial Intelligence Techniques in the Petroleum Industry

Book2020

 

Cover for Applications of Artificial Intelligence Techniques in the Petroleum Industry

Authors:

Abdolhossein Hemmati-Sarapardeh, Aydin Larestani, ... Sassan Hajirezaie

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Applications of Artificial Intelligence Techniques in the Petroleum Industry gives engineers a critical resource to help them understand the machine learning that will solve specif ... read full description

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  2. Book chapterAbstract only

    Chapter 1 - Introduction

    Pages 1-22

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    Chapter 2 - Intelligent models

    Pages 23-50

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    Chapter 3 - Training and optimization algorithms

    Pages 51-78

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    Chapter 4 - Application of intelligent models in reservoir and production engineering

    Pages 79-227

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    Chapter 5 - Application of intelligent models in drilling engineering

    Pages 229-278

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    Chapter 6 - Application of intelligent models in exploration engineering

    Pages 279-294

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    Chapter 7 - Weaknesses and strengths of intelligent models in petroleum industry

    Pages 295-301

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    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

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Authors

Abdolhossein Hemmati-Sarapardeh

Department of Petroleum Engineering, Shahid Bahonar University of Kerman, Kerman, Iran

Aydin Larestani

Department of Petroleum Engineering, Shahid Bahonar University of Kerman, Kerman, Iran

Menad Nait Amar

Département Etudes Thermodynamiques, Division Laboratoires, Sonatrach, Boumerdes, Algeria

Laboratory of Hydrocarbons Physical Engineering, Faculty of Hydrocarbons and Chemistry, University of M’Hamed Bougara Boumerdes, Boumerdes, Algeria

Sassan Hajirezaie

Department of Civil and Environmental Engineering, Princeton University, NJ, United States