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Titlebook: Introduction to Geological Uncertainty Management in Reservoir Characterization and Optimization; Robust Optimization Reza Yousefzadeh,Ali

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发表于 2025-3-21 19:00:43 | 显示全部楼层 |阅读模式
书目名称Introduction to Geological Uncertainty Management in Reservoir Characterization and Optimization
副标题Robust Optimization
编辑Reza Yousefzadeh,Alireza Kazemi,Jebraeel Gholinezh
视频video
概述Introduces the latest methods to resolve challenges in field development optimization under geological uncertainties.Reviews data used to quantify geological uncertainties and methods.Provides a compr
丛书名称SpringerBriefs in Petroleum Geoscience & Engineering
图书封面Titlebook: Introduction to Geological Uncertainty Management in Reservoir Characterization and Optimization; Robust Optimization  Reza Yousefzadeh,Ali
描述.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
出版日期Book 2023
关键词Uncertainty Management; Economic Uncertainty; Geological Uncertainty; Robust Optimization; History Match
版次1
doihttps://doi.org/10.1007/978-3-031-28079-5
isbn_softcover978-3-031-28078-8
isbn_ebook978-3-031-28079-5Series ISSN 2509-3126 Series E-ISSN 2509-3134
issn_series 2509-3126
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Reducing the Geological Uncertainty by History Matching,ave better and more reliable estimations of the true model. This chapter provides the details of history matching, different data types and their scale that are used in history matching, use of seismic, static, and production data in history matching, challenges encountered during history matching,
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Dimensionality Reduction Methods Used in History Matching,dual deformation, principal component analysis, and higher-order singular value decomposition, and deep learning methods, including the autoencoders, variational autoencoders, and convolutional variational autoencoders. Also, a brief introduction to machine learning and deep learning is provided.
发表于 2025-3-22 20:49:56 | 显示全部楼层
Field Development Optimization Under Geological Uncertainty,presentative geological realizations to be used in robust optimization, decreasing the computational cost of the optimization under geological uncertainty by constrained optimization, and challenges related to these activities are described in this chapter.
发表于 2025-3-23 00:12:46 | 显示全部楼层
History Matching and Robust Optimization Using Proxies,history matching and robust field development optimization. Different kinds of proxy models; such as physics-based, non-physics-based, and hybrid proxies; pros and cons of using proxy models; and some example applications of proxy models are introduced.
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. Result shows the optimal setting of machining variables in laser microgrooving of K-60 alumina ceramic at pulse frequency of 4.4 kHz, diode current of 17 amp, scan speed of 35 mm/s, number of passes as 12, with estimated groove upper width deviation of 0.02669 µm. The methodology described here is
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