Development of CO2 Sequestration Modeling Capabilities in Stanford General Purpose Research Simulator
Abstract/Contents
- Abstract
- Geologic sequestration of carbon dioxide shows great potential for reducing CO2 concentrations in the atmosphere. Numerical simulation will be of great importance in operating CO2 sequestration projects. In this work, various enhancements were implemented into the Stanford General Purpose Research Simulator (GPRS) to model the physics of CO2 sequestration. The enhancements include three-phase relative permeability and hysteresis models, which were implemented and successfully tested for compositional models. Using these models, GPRS was applied to simulate CO2 sequestration in a large aquifer in San Juan County in New Mexico. It was observed from the numerical results that when hysteresis was included, most of the CO2 was residually trapped, which is preferable to structural trapping. If horizontal wells were used to inject CO2, residual trapping can be further enhanced and thus the structural trapping can be reduced. Diffusion and dispersion were also implemented into GPRS. The smoothing effect of diffusion and dispersion is shown in a miscible displacement case. However, current results do not show that molecular diffusion and physical dispersion significantly impact CO2 sequestration at large scales for the cases considered. Further study will be required to investigate the impact of dispersion.
Description
| Type of resource | text |
|---|---|
| Date created | June 2006 |
Creators/Contributors
| Author | Fan, Yaqing |
|---|---|
| Primary advisor | Durlofsky, Louis J. |
| Advisor | Tchelepi, Hamdi |
| Degree granting institution | Stanford University, Department of Petroleum Engineering |
Subjects
| Subject | School of Earth Energy & Environmental Sciences |
|---|---|
| Genre | Thesis |
Bibliographic information
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Preferred citation
- Preferred Citation
- Fan, Yaqing. (2006). Development of CO2 Sequestration Modeling Capabilities in Stanford General Purpose Research Simulator. Stanford Digital Repository. Available at: https://purl.stanford.edu/sg000dr6979
Collection
Master's Theses, Doerr School of Sustainability
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