Introduction to Geological Uncertainty Management in Reservoir Characterization and Optimization: Robust Optimization and History Matching

This book explores methods for managing uncertainty in reservoir characterization and optimization, covering geological uncertainty, history matching, dimensionality reduction, and field development optimization. It is of interest to researchers, professors, geologists, and professionals in oil and gas production and exploration.

Format: Paperback / softback
Length: 132 pages
Publication date: 09 April 2023
Publisher: Springer International Publishing AG

This comprehensive book delves into effective strategies for managing uncertainty in reservoir characterization and optimization. It provides a thorough exploration of the fundamentals, complexities, and solutions associated with navigating geological uncertainty throughout the various phases of reservoir management. In the first chapter, the authors delve into the diverse types and sources of uncertainty, highlighting the challenges posed in each stage of reservoir management. They also introduce general approaches for effectively managing these uncertainties.

The second chapter focuses specifically on geological uncertainty, examining its profound impact on field development and the various methods employed to address it. Prior information, seismic and petrophysical data, and geological parametrization are explored as tools for mitigating geological uncertainty. The third chapter delves into reducing geological uncertainty through history matching, highlighting the various techniques employed, including closed-loop management, ensemble assimilation, and stochastic optimization. Dimensionality reduction methods are also discussed to tackle high-dimensional geological realizations.

The fourth chapter explores field development optimization using robust optimization, addressing the challenges associated with high computational costs and risk attitudes. Robust optimization techniques are introduced, along with practical solutions for optimizing field development plans. The fifth chapter introduces different types of proxy models in history matching and robust optimization, discussing their advantages and limitations. The book concludes with a discussion of their applications in oil and gas production and exploration.

This book is a valuable resource for researchers, professors, geologists, and professionals engaged in oil and gas production and exploration. It offers a comprehensive and insightful examination of the challenges and opportunities associated with managing uncertainty in reservoir characterization and optimization, providing valuable insights and practical approaches for achieving successful outcomes in this field.

Weight: 238g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031280788
Edition number: 1st ed. 2023