Mechanistic Modeling of Solution Gas Drive in Viscous Oils
Abstract/Contents
- Abstract
- Solution gas drive in oil reservoirs is not well understood. This report looks at the development of a mechanistic population balance for modeling this process in light and viscous oils. The modeling is based on a bubble population balance framework. Appropriate rate equations are derived for the two modes of bubble nucleation described in the literature - instantaneous nucleation (IN) and progressive nucleation (PN). The results of simulations for the IN and PN models are compared to experimental data in the literature for light and viscous oils. The main parameter requiring adjustment in the IN model is bubble number density while the PN model requires the cavity size distribution of the porous medium as input. Both of the models match experimental data reasonably well without any imposed supersaturation for bubble nucleation. Though the match for the PN model is marginally better than IN, it is more intensive computationally. For the PN model, the time interval of actual bubble nucleation is small compared to the total period of pressure depletion. Thus, the IN model may adequately describe solution gas drive if long-term behavior is of interest.
Description
| Type of resource | text |
|---|---|
| Date created | June 2000 |
Creators/Contributors
| Author | Arora, Prabhat |
|---|---|
| Primary advisor | Kovscek, Anthony R. |
| 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
- Arora, Prabhat. (2000). Mechanistic Modeling of Solution Gas Drive in Viscous Oils. Stanford Digital Repository. Available at: https://purl.stanford.edu/zb936wp1724
Collection
Master's Theses, Doerr School of Sustainability
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