Utilization of Temperature Data to Determine Reservoir Thickness
Abstract/Contents
- Abstract
- Knowledge of reservoir thickness is crucial in the determination of the hydrocarbon volumes in a reservoir. An incorrect estimation of reservoir thickness, therefore, would lead to an incorrect reserves estimation. During traditional pressure transients analysis, reservoir thickness is often assumed constant to enable the determination of reservoir permeability. Permeability estimates from pressure transient analysis have been used as decision anchors for performance of reservoir stimulations. In this sense, by the assumption of constant-reservoir thickness, decisions made on such permeability calculations are based on misleading data. Here, we investigate the utility of temperature as a matching parameter to determine reservoir thickness. We used the Levenberg-Marquardt algorithm to determine the reservoir thickness which would minimize the difference between reservoir temperature and model temperature. Eclipse 300 was used to generate temperature profiles. Using temperature data, reservoir thickness could be determined in a partially penetrated reservoir. In other reservoir shapes, information on the nonuniformity of the reservoir could be extracted from the mismatch of the reservoir temperature data with a temperature profile using a model assumed to have constant reservoir thickness.
Description
| Type of resource | text |
|---|---|
| Date created | June 2014 |
Creators/Contributors
| Author | Mabunda, Ha-andza |
|---|---|
| Primary advisor | Horne, Roland N. |
| 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
- Mabunda, Ha-andza. (2014). Utilization of Temperature Data to Determine Reservoir Thickness. Stanford Digital Repository. Available at: https://purl.stanford.edu/fr418qg4826
Collection
Master's Theses, Doerr School of Sustainability
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