Recursive Least Squares Method for Identification of Reservoir Parameters
Abstract/Contents
- Abstract
- Siliceous diatomite reservoirs of Southern California are an immense source of heavy oil. The problem is producing the high viscosity oil from the low permeability reservoir. Steam is injected, generally through hydraulic fractures, to mobilize the oil. This report presents ai recursive least squares method for the estimation of hydraulic diffusivity and thermal conductivity for such a reservoir. These are two important parameters in evaluating the effectiveness of the injection process.The model partial differential equations are discretized using explicit finite difference in order to apply the recursive algorithm. It is found that data quality must be high for obtaining acceptable estimate of the unknown parameters. Although one potential application of the recursive methodology is the estimation of time-varying parameters, this was overridden by poor data quality. Good matches were however obtained for the estimation of constant hydraulic and thermal diffusivity.
Description
| Type of resource | text |
|---|---|
| Date created | June 1998 |
Creators/Contributors
| Author | Murad, Faiza |
|---|---|
| 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
- Murad, Faiza. (1998). Recursive Least Squares Method for Identification of Reservoir Parameters. Stanford Digital Repository. Available at: https://purl.stanford.edu/cm084sd0967
Collection
Master's Theses, Doerr School of Sustainability
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