Improved Near-Well Upscaling for Multiphase Systems with Gas Evolution
Abstract/Contents
- Abstract
- Near-well behavior can strongly affect reservoir simulation results. However, certain effects, such as gas evolution from the oil phase, can be difficult to capture with coarse-grid simulations. This motivates the development of near-well upscaling techniques. In this work, we extend and generalize an existing near-well multiphase upscaling procedure to address more challenging situations, specifically cases with strong gravitational effects and high gas flow rates. To accomplish this, interface multiphase coarse functions are introduced, in addition to the well-block quantities used in the existing procedure. A reduced averaging region is applied to provide an appropriate initial guess for the optimization algorithm used to compute the interface coarse functions. This optimization determines coarse-scale functions that minimize the difference in fine and coarse-scale multiphase flow rates over the local well model. This model, which includes the coarse well block and surrounding regions, is used for the detailed upscaling computations. Boundary conditions are provided through use of a local-global procedure. To capture high gas flow at the top of the reservoir, vertical grid refinement is introduced in the global coarse model. The improved near-well upscaling procedure is applied to simulate vertical and horizontal wells in heterogeneous reservoirs. Both oil-gas and oil-gas-water systems are considered. Significant improvement in the accuracy of the coarse results (especially for gas rate) is observed compared to the use of only upscaled single-phase properties. Enhanced accuracy is also observed relative to the existing near-well multiphase upscaling procedure for challenging cases involving strong gravitational effects. A previously developed interpolation scheme is also tested with the improved upscaling procedure and promising results are observed. This interpolation approach avoids the need for detailed upscaling calculations for all cases and can result in very large speedups if many coarse simulations are performed.
Description
| Type of resource | text |
|---|---|
| Date created | June 2011 |
Creators/Contributors
| Author | Li, Hangyu |
|---|---|
| Primary advisor | Durlofsky, Louis J. |
| Degree granting institution | Stanford University, Department of Energy Resources Engineering |
Subjects
| Subject | School of Earth Energy & Environmental Sciences |
|---|---|
| Genre | Thesis |
Bibliographic information
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Preferred citation
- Preferred Citation
- Li, Hangyu. (2011). Improved Near-Well Upscaling for Multiphase Systems with Gas Evolution. Stanford Digital Repository. Available at: https://purl.stanford.edu/mh782dw3510
Collection
Master's Theses, Doerr School of Sustainability
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