Evaluation and Modifications to the Streamline-Pseudofunction Based 3-D to 3-D Scale-Up Algorithm
Abstract/Contents
- Abstract
- The performance of a 3-D multiphase scale-up method based on the sequential extraction of 2-D vertical slices in both x-z and y-z planes is examined. Directional pseudofunctions are derived from these slices for use in a 3-D coarsened flow model. When used to predict the performance of well patterns in which the predominant flow directions are aligned with the directions of these slices, these pseudofunctions do a good job of matching the performance observed in finely gridded models, both in terms of breakthrough time and subordinate production. For well patterns with significant diagonal flow paths, the prediction of breakthrough time is still an improvement over using rock curves, but the predicted profile of subordinate production deviates from the finely gridded results. Possible causes for this behavior are discussed. The effect of the magnitude of upscaling on the performance of the upscaling algorithm is rigorously studied. For reservoir models with unfavorable mobility ratios the proposed scale-up method does a far superior job inmatching the fine grid results as compared to the rock curves. Three modifications to the existing method are presented: including irreversible directional pseudofunctions, including z-directional pseudofunctions and making the pseudofunctions length dependent. Their significance is discussed.
Description
| Type of resource | text |
|---|---|
| Date created | June 2000 |
Creators/Contributors
| Author | Doshi, Vinit |
|---|---|
| Primary advisor | Hewett, Thomas A. |
| 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
- Doshi, Vinit. (2000). Evaluation and Modifications to the Streamline-Pseudofunction Based 3-D to 3-D Scale-Up Algorithm. Stanford Digital Repository. Available at: https://purl.stanford.edu/dy287dx7346
Collection
Master's Theses, Doerr School of Sustainability
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