Introduction to Geological Uncertainty Management in Reservoir Characterization and Optimization: Robust Optimization and History Matching
Language: English
Published by Springer, 2023
Series: Book 25 of 25 - SpringerBriefs in Petroleum Geoscience & Engineering
- Softcover
- New
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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In English.
Seller Inventory # ria9783031280801_new
- Title
- Introduction to Geological Uncertainty Management in Reservoir Characterization and Optimization: Robust Optimization and History Matching
- Author
- Yousefzadeh, Reza; Kazemi, Alireza; Ahmadi, Mohammad
- Publisher
- Springer
- Publication year
- 2023
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 3031280806
- ISBN 13
- 9783031280801
- Item weight
- 339 grams
- Series
- Book 25 of 25: SpringerBriefs in Petroleum Geoscience & Engineering
This book explores methods for managing uncertainty in reservoir characterization and optimization. It covers the fundamentals, challenges, and solutions to tackle the challenges made by geological uncertainty. The first chapter discusses types and sources of uncertainty and the challenges in different phases of reservoir management, along with general methods to manage it. The second chapter focuses on geological uncertainty, explaining its impact on field development and methods to handle it using prior information, seismic and petrophysical data, and geological parametrization. The third chapter deals with reducing geological uncertainty through history matching and the various methods used, including closed-loop management, ensemble assimilation, and stochastic optimization. The fourth chapter presents dimensionality reduction methods to tackle high-dimensional geological realizations. The fifth chapter covers field development optimization using robust optimization, including solutions for its challenges such as high computational cost and risk attitudes. The final chapter introduces different types of proxy models in history matching and robust optimization, discussing their pros and cons, and applications.
The book will be of interest to researchers and professors, geologists and professionals in oil and gas production and exploration.
"Synopsis" may belong to another edition of this title.
Ria Christie Collections
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