Modeling geological CO2 sequestration : translations across spatial scales and advancements in nonlinear Newton solver
Abstract/Contents
- Abstract
- 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.
Description
Type of resource | text |
---|---|
Form | electronic; electronic resource; remote |
Extent | 1 online resource. |
Publication date | 2014 |
Issuance | monographic |
Language | English |
Creators/Contributors
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.) |
Subjects
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
- Copyright
- © 2014 by Boxiao Li
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
Also listed in
Loading usage metrics...