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Author: Donald Wyman Vasco Publisher: Cambridge University Press ISBN: 1316577945 Category : Science Languages : en Pages : 381
Book Description
This book introduces methodologies for subsurface imaging based upon asymptotic and trajectory-based methods for modeling fluid flow, transport and deformation. It describes trajectory-based imaging from its mathematical formulation, through the construction and solution of the imaging equations, to the assessment of the accuracy and resolution associated with the image. Unique in its approach, it provides a unified framework for the complete spectrum of physical phenomena from wave-like hyperbolic problems to diffusive parabolic problems and non-linear problems of mixed character. The practical aspects of imaging, particularly efficient and robust methods for updating high resolution geologic models using fluid flow, transport and geophysical data, are emphasized throughout the book. Complete with online software applications and examples that enable readers to gain hands-on experience, this volume is an invaluable resource for graduate-level courses, as well as for academic researchers and industry practitioners in the fields of geoscience, hydrology, and petroleum and environmental engineering.
Author: Donald Wyman Vasco Publisher: Cambridge University Press ISBN: 1316577945 Category : Science Languages : en Pages : 381
Book Description
This book introduces methodologies for subsurface imaging based upon asymptotic and trajectory-based methods for modeling fluid flow, transport and deformation. It describes trajectory-based imaging from its mathematical formulation, through the construction and solution of the imaging equations, to the assessment of the accuracy and resolution associated with the image. Unique in its approach, it provides a unified framework for the complete spectrum of physical phenomena from wave-like hyperbolic problems to diffusive parabolic problems and non-linear problems of mixed character. The practical aspects of imaging, particularly efficient and robust methods for updating high resolution geologic models using fluid flow, transport and geophysical data, are emphasized throughout the book. Complete with online software applications and examples that enable readers to gain hands-on experience, this volume is an invaluable resource for graduate-level courses, as well as for academic researchers and industry practitioners in the fields of geoscience, hydrology, and petroleum and environmental engineering.
Author: Donald Wyman Vasco Publisher: Cambridge University Press ISBN: 0521516331 Category : Business & Economics Languages : en Pages : 381
Book Description
This book provides a unified framework for subsurface imaging based upon asymptotic and trajectory-based methods, with online software applications.
Author: Owen M. Phillips Publisher: Cambridge University Press ISBN: 0521865557 Category : Science Languages : en Pages : 298
Book Description
Describes fluid flow, transport and contamination in rocks and sediments, for graduate students and professionals in hydrology, water resources, geochemistry.
Author: Akhil Datta-Gupta Publisher: ISBN: Category : Business & Economics Languages : en Pages : 418
Book Description
Streamline-Simulation emphasizes the unique features of streamline technology that in many ways complement conventional finite-difference simulation. It fills gaps in the mathematical foundations.
Author: United States. Congress. House. Committee on Appropriations. Subcommittee on Energy and Water Development Publisher: ISBN: Category : Federal aid to energy development Languages : en Pages : 396
Author: United States. Congress. House. Committee on Appropriations. Subcommittee on Energy and Water Development Publisher: ISBN: Category : Federal aid to energy development Languages : en Pages : 1060
Author: United States. Congress. House. Committee on Appropriations. Subcommittee on Energy and Water Development Publisher: ISBN: Category : Nature Languages : en Pages : 2698
Author: United States. Congress. House. Committee on Appropriations. Subcommittee on Energy and Water Development Publisher: ISBN: Category : Energy development Languages : en Pages : 2690
Author: Siddharth Misra Publisher: Gulf Professional Publishing ISBN: 0128177373 Category : Technology & Engineering Languages : en Pages : 442
Book Description
Machine Learning for Subsurface Characterization develops and applies neural networks, random forests, deep learning, unsupervised learning, Bayesian frameworks, and clustering methods for subsurface characterization. Machine learning (ML) focusses on developing computational methods/algorithms that learn to recognize patterns and quantify functional relationships by processing large data sets, also referred to as the "big data." Deep learning (DL) is a subset of machine learning that processes "big data" to construct numerous layers of abstraction to accomplish the learning task. DL methods do not require the manual step of extracting/engineering features; however, it requires us to provide large amounts of data along with high-performance computing to obtain reliable results in a timely manner. This reference helps the engineers, geophysicists, and geoscientists get familiar with data science and analytics terminology relevant to subsurface characterization and demonstrates the use of data-driven methods for outlier detection, geomechanical/electromagnetic characterization, image analysis, fluid saturation estimation, and pore-scale characterization in the subsurface. - Learn from 13 practical case studies using field, laboratory, and simulation data - Become knowledgeable with data science and analytics terminology relevant to subsurface characterization - Learn frameworks, concepts, and methods important for the engineer's and geoscientist's toolbox needed to support
Author: Donald Wyman Vasco
Author: Donald Wyman Vasco
Author: Donald Wyman Vasco
Author: Donald Wyman Vasco
Author: Owen M. Phillips
Author: Akhil Datta-Gupta
Author: United States. Congress. House. Committee on Appropriations. Subcommittee on Energy and Water Development
Author: United States. Congress. House. Committee on Appropriations. Subcommittee on Energy and Water Development
Author: United States. Congress. House. Committee on Appropriations. Subcommittee on Energy and Water Development
Author: United States. Congress. House. Committee on Appropriations. Subcommittee on Energy and Water Development
Author: Siddharth Misra