Introduction to Geological Uncertainty Management in Reservoir Characterization and Optimization
Springer International Publishing (Verlag)
978-3-031-28078-8 (ISBN)
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.
lt;p>Reza Yousefzadeh is currently a postgraduate researcher in reservoir engineering at Amirkabir University of Technology (Tehran Polytechnic). He got his master's and bachelor's degree from the same university in reservoir engineering and petroleum engineering, respectively. His research fields included well placement optimization, facilitating well placement optimization using fast marching method, uncertainty management in well placement optimization under geological uncertainty, and applying machine learning algorithms to different petroleum-related problems such as field development optimization and history matching.
Reza is currently working on addressing some of the common challenges in uncertainty management in robust field development optimization and has published several technical papers in this regard. He is specially working on reducing the computational cost and improving the parametrization quality of the geological realizations. In this regard, his primary focus is on using deep learning methods capable of handling three-dimensional models with complex and non-Gaussian distributions.
Chapter 1. Introduction to Uncertainty in Reservoir Engineering.- Chapter 2. Geological Uncertainty Quantification.- Chapter 3. Reducing the Geological Uncertainty by History Matching.- Chapter 4. Dimensionality Reduction Methods used in History Matching.- Chapter 5. Field Development Optimization under Geological Uncertainty.- Chapter 6. History Matching and Robust Optimization Using Proxies.
| Erscheinungsdatum | 11.04.2023 |
|---|---|
| Reihe/Serie | SpringerBriefs in Petroleum Geoscience & Engineering |
| Zusatzinfo | XIV, 132 p. 27 illus., 23 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 238 g |
| Themenwelt | Technik ► Elektrotechnik / Energietechnik |
| Schlagworte | Economic Uncertainty • Geological Uncertainty • History Matching • robust optimization • Uncertainty Management |
| ISBN-10 | 3-031-28078-4 / 3031280784 |
| ISBN-13 | 978-3-031-28078-8 / 9783031280788 |
| Zustand | Neuware |
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