Modeling geological CO2 sequestration : translations across spatial scales and advancements in nonlinear Newton solver

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Characterization of formation heterogeneity is the first step for constructing geological models that are used in simulating subsurface flow migration, such as CO2 geological storage and oil/gas recovery. Technologies such as seismic survey, well logging, and core analysis reveal the formation heterogeneity at different scales. Due to the computational limitations on model construction and flow simulation, the gridblock size of a geological model is usually much larger than a core. The common industry practice is to assign core-scale properties directly to a geological model gridblock. The sub-grid- and sub-core-scale heterogeneities are neglected. The objective of this work is two-fold. First, we demonstrate that these small-scale heterogeneities can influence large-scale CO2 migration during geological storage. Significant modeling error may occur if these heterogeneities are not accounted for properly. Second, we improve the nonlinear convergence performance of numerical simulation, which is a crucial tool for translating small-scale physics in large-scale modeling and for uncertainty quantifications during the scale-up. A new Newton solver is developed, which converges quickly by avoiding the oscillations and overshoots that are often encountered in traditional solvers.


Type of resource text
Form electronic; electronic resource; remote
Extent 1 online resource.
Publication date 2014
Issuance monographic
Language English


Associated with Li, Boxiao
Associated with Stanford University, Department of Energy Resources Engineering.
Primary advisor Benson, Sally
Primary advisor Tchelepi, Hamdi
Thesis advisor Benson, Sally
Thesis advisor Tchelepi, Hamdi
Thesis advisor Kitanidis, P. K. (Peter K.)
Advisor Kitanidis, P. K. (Peter K.)


Genre Theses

Bibliographic information

Statement of responsibility Boxiao Li.
Note Submitted to the Department of Energy Resources Engineering.
Thesis Thesis (Ph.D.)--Stanford University, 2014.
Location electronic resource

Access conditions

© 2014 by Boxiao Li
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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