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Introduction to Geological Uncertainty Management in Reservoir Characterization and Optimization - Robust Optimization and History Matching (1st ed. 2023)
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Introduction to Geological Uncertainty Management in Reservoir Characterization and Optimization - Robust Optimization and History Matching (1st ed. 2023)
Series: SpringerBriefs in Petroleum Geoscience & Engineering
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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.
General
Imprint: |
Springer International Publishing AG
|
Country of origin: |
Switzerland |
Series: |
SpringerBriefs in Petroleum Geoscience & Engineering |
Release date: |
April 2023 |
First published: |
2023 |
Authors: |
Reza Yousefzadeh
• Alireza Kazemi
• Mohammad Ahmadi
• Jebraeel Gholinezhad
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Dimensions: |
235 x 155mm (L x W) |
Pages: |
132 |
Edition: |
1st ed. 2023 |
ISBN-13: |
978-3-03-128078-8 |
Categories: |
Books
Promotions
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LSN: |
3-03-128078-4 |
Barcode: |
9783031280788 |
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