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Yousefzadeh R. Introduction to Geological Uncertainty Management..Reservoir 2023

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Yousefzadeh R. Introduction to Geological Uncertainty Management..Reservoir 2023

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Category: Other
Total size: 4.40 MB
Added: 2025-03-10 23:39:01

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Info Hash: 1D2EC21272BE9EBDDB2B4D46D46017FF578FD1F9
Last updated: 12.5 hours ago

Description:

Textbook in PDF format The main purpose of this book is to investigate the methods, challenges, and solutions to manage uncertainty in reservoir characterization and optimization. This book is a quick and strong introduction to reservoir characterization and optimization under geological uncertainty that can guide graduate/post-graduate students and researchers to start their investigations with a strong understanding of the basics of geological uncertainty and solutions to it. The content of this book is prepared based on the most prominent works by a large number of authors including the authors of this book who have had several published works regarding the geological uncertainty management both in reservoir characterization and in optimization. Since this book is a brief, methods and examples are briefly described and some outdated methods are ignored. This book contains five chapters. 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