Understanding Data Analytics and Predictive Modelling in the Oil and Gas Industry
eBook - ePub

Understanding Data Analytics and Predictive Modelling in the Oil and Gas Industry

  1. 168 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub
Book details
Table of contents
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About This Book

This book covers aspects of data science and predictive analytics used in the oil and gas industry by looking into the challenges of data processing and data modelling unique to this industry. It includes upstream management, intelligent/digital wells, value chain integration, crude basket forecasting, and so forth. It further discusses theoretical, methodological, well-established, and validated empirical work dealing with various related topics. Special focus has been given to experimental topics with various case studies.

Features:

  • Provides an understanding of the basics of IT technologies applied in the oil and gas sector
  • Includes deep comparison between different artificial intelligence techniques
  • Analyzes different simulators in the oil and gas sector as well as discussion of AI applications
  • Focuses on in-depth experimental and applied topics
  • Details different case studies for upstream and downstream

This book is aimed at professionals and graduate students in petroleum engineering, upstream industry, data analytics, and digital transformation process in oil and gas.

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Yes, you can access Understanding Data Analytics and Predictive Modelling in the Oil and Gas Industry by Kingshuk Srivastava, Thipendra P Singh, Manas Ranjan Pradhan, Vinit Kumar Gunjan, Kingshuk Srivastava, Thipendra P Singh, Manas Ranjan Pradhan, Vinit Kumar Gunjan in PDF and/or ePUB format, as well as other popular books in Technologie et ingénierie & Science des matériaux. We have over one million books available in our catalogue for you to explore.

Information

Publisher
CRC Press
Year
2023
ISBN
9781000995138

Table of contents

  1. Cover
  2. Half-Title
  3. Title
  4. Copyright
  5. Dedication
  6. Contents
  7. Preface
  8. About the Editors
  9. List of Contributors
  10. Acknowledgments
  11. Chapter 1 Understanding the Oil and Gas Sector and Its Processes: Upstream, Downstream
  12. Chapter 2 IT Technologies Impacting the Petroleum Sector
  13. Chapter 3 Data Handling Techniques in the Petroleum Sector
  14. Chapter 4 Predictive Modelling Concepts in Petroleum Sector
  15. Chapter 5 Supply Chain Management in the Oil and Gas Business
  16. Chapter 6 Prescriptive Analysis and Its Application in Oil and Gas Business
  17. Chapter 7 Future Challenges in Petroleum Sector and IT Solutions
  18. Chapter 8 Oil and Gas Industry in Context of Industry 4.0: An Understanding
  19. Index