Data-Driven Reservoir Modeling
eBook - ePub

Data-Driven Reservoir Modeling

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

Data-Driven Reservoir Modeling

About this book

Data-Driven Reservoir Modelingintroduces new technology and protocols (intelligent systems) that teach the reader how to apply data analytics to solve real-world, reservoir engineering problems. The book describes how to utilize machine-learning-based algorithmic protocols to reduce large quantities of difficult-to-understand data down to actionable, tractable quantities. Through data manipulation via artificial intelligence, the user learns how to exploit imprecision and uncertainty to achieve tractable, robust, low-cost, effective, actionable solutions to challenges facing upstream technologists in the petroleum industry.

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Yes, you can access Data-Driven Reservoir Modeling by Shahab D. Mohaghegh in PDF and/or ePUB format. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Society of Petroleum Engineers
Year
2017
eBook ISBN
9781613995600
Edition
0

Table of contents

  1. CoverĀ 
  2. Title Page
  3. Copyright
  4. Dedication
  5. Acknowledgments
  6. Foreword
  7. ContentsĀ 
  8. 1 Introduction
  9. 2 Data-Driven Problem Solving
  10. 3 Reservoir Modeling
  11. 4 Data-Driven Technologies
  12. 5 Pitfalls of Using Machine Learning in Reservoir Modeling
  13. 6 Fact-Based Reservoir Management
  14. 7 Top-Down Modeling
  15. 8 The Spatio-Temporal Database
  16. 9 History Matching the Top-Down Model
  17. 10 Post-Modeling Analysis of the Top-Down Model
  18. 11 Examples and Case Studies
  19. 12 Limitations of Data-Driven Reservoir Modeling
  20. 13 The Future of Data-Driven Reservoir Modeling
  21. References
  22. Index