AI and Digital Technology for Oil and Gas Fields
eBook - ePub

AI and Digital Technology for Oil and Gas Fields

  1. 266 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

AI and Digital Technology for Oil and Gas Fields

About this book

The book essentially covers the growing role of AI in the oil and gas industry, including digital technology in the exploration phase to customer sales service along with a cloud-based digital storage of reservoir simulation data for modeling. It initiates with the description of AI systems and their roles within the oil and gas business including agent-based systems, impact of industrial IoT on business models, and ethics of robotics in AI implementation. It discusses reliability of operation leading to reduction of operating costs by localizing control functions, remote monitoring, and supervision.

Features of this book are as follows:



  • Exclusive title on the application of AI and digital technology in the oil and gas industry.



  • Explains cloud data management in reservoir simulation.



  • Discusses intelligent oil and gas well completion in detail.



  • Covers marketing aspects of oil and gas business during exploration phase.



  • Reviews development of digital systems for business purposes.

This book is aimed at professionals in petroleum and chemical engineering, technology, and engineering management.

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Yes, you can access AI and Digital Technology for Oil and Gas Fields by Niladri Kumar Mitra in PDF and/or ePUB format, as well as other popular books in Computer Science & Chemical & Biochemical Engineering. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Table of Contents
  6. About the Author
  7. Preface
  8. Acknowledgments
  9. Chapter 1 The Growing Role of Artificial Intelligence in the Oil and Gas Industry
  10. Chapter 2 Artificial Intelligence Agent System
  11. Chapter 3 Artificial Intelligence and Automatic Control
  12. Chapter 4 The Components of Trusted Artificial Intelligence
  13. Chapter 5 Industrial Internet of Things (IIoT)
  14. Chapter 6 Artificial Intelligence and Robotics
  15. Chapter 7 Machine Learning and Artificial Intelligence
  16. Chapter 8 Intelligent Drilling and Well Completion
  17. Chapter 9 Reservoir Management and iCloud Storage
  18. Chapter 10 Distributed Digital Control Systems for Oil and Gas Operations
  19. Chapter 11 Energizing the Future of Digital Technology in the Oil and Gas Industry
  20. Index