The Data as the Model: Interpreting Permanent Downhole Gauge Data Without Knowing the Reservoir Model
Abstract/Contents
- Abstract
- The integration of permanent downhole gauge data analysis into the history matching process presents a challenge to the reservoir engineer. Permanent downhole gauge data consists of both normal transients and aberrant transients. The former could be said to represent the reservoir model while the latter do not. The analysis process requires a technique for the removal of aberrant transients. This technique would be most broadly applicable if it were to make no assumption about the reservoir model. The use of regression analysis and pattern recognition techniques to solve this problem of identifying aberrant transients was investigated. Pattern recognition techniques were observed to be suitable in certain cases. These techniques also have the advantage of not requiring either a reservoir model or a flow rate history.
Description
| Type of resource | text |
|---|---|
| Date created | June 2002 |
Creators/Contributors
| Author | Thomas, Olubusola Olayemi Assumtpa |
|---|---|
| Primary advisor | Horne, Roland N. |
| 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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- Use and reproduction
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Preferred citation
- Preferred Citation
- Thomas, Olubusola Olayemi Assumtpa. (2002). The Data as the Model: Interpreting Permanent Downhole Gauge Data Without Knowing the Reservoir Model. Stanford Digital Repository. Available at: https://purl.stanford.edu/yp861dj6649
Collection
Master's Theses, Doerr School of Sustainability
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- brannerlibrary@stanford.edu
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