Computational analysis of fluid flow in 2D&3D pore geometry

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Abstract/Contents

Abstract
The motivation of this dissertation is to improve understanding of the geometrical parameters controlling flow properties and to develop toolkits to assist in this task in order to further advance Digital Rock Physics. With digital 2-D or 3-D images we can now investigate rock geometry thoroughly. Geometrical parameters such as cross-section geometry, tortuosity, pore size distribution, and grain size distribution will be discussed in detail in each chapter. Then, combining the knowledge of cross-section geometry and tortuosity, I show that the pore size distribution is the missing parameter crucial for accurately predicting permeability in porous media and I derive the revised Kozeny-Carman equation. Furthermore, the growing number of digital microstructures makes data analysis via machine learning possible. I will also discuss how to employ Machine Learning in Digital Rock Physics on permeability prediction from digital microstructures. These various approaches are designed to advance our fundamental understanding of rock geometry, and to determine the topological factors that are most relevant to the geophysical properties that we wish to simulate.

Description

Type of resource text
Form electronic resource; remote; computer; online resource
Extent 1 online resource.
Place California
Place [Stanford, California]
Publisher [Stanford University]
Copyright date 2018; ©2018
Publication date 2018; 2018
Issuance monographic
Language English

Creators/Contributors

Author Srisutthiyakorn, Nattavadee
Degree supervisor Mavko, Gary, 1949-
Thesis advisor Mavko, Gary, 1949-
Thesis advisor Dvorkin, Jack, 1953-
Thesis advisor Mukerji, Tapan, 1965-
Thesis advisor Schroeder, Dustin
Degree committee member Dvorkin, Jack, 1953-
Degree committee member Mukerji, Tapan, 1965-
Degree committee member Schroeder, Dustin
Associated with Stanford University, Department of Geophysics.

Subjects

Genre Theses
Genre Text

Bibliographic information

Statement of responsibility Nattavadee Srisutthiyakorn.
Note Submitted to the Department of Geophysics.
Thesis Thesis Ph.D. Stanford University 2018.
Location electronic resource

Access conditions

Copyright
© 2018 by Nattavadee Srisutthiyakorn
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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