Inferring Injection Returns from Chloride Monitoring Data
Abstract/Contents
- Abstract
- Reservoir chloride concentration and injection rate data have been used to identify injection return flow paths in the reservoir. General trends of chloride and injection rate with time were isolated from their respective short-term variations using Wavelet transformation. Multiple regression techniques were then used to correlate the isolated short-term variations in chloride with corresponding short-term fluctuations in injection rates; and, subsequently to quantify the degree of connectivity between injectors and producers. Data from Palinpinon-I field in the Philippines was analyzed using the outlined method and results were successfully verified against tracer test data and qualitative field observations.Results of analysis of chloride and injection rate data from Dixie Valley field in Nevada illustrated that multilinear modeling is not suitable for analyzing data sets which lack sufficient time variability or "texture."
Description
| Type of resource | text |
|---|---|
| Date created | June 1998 |
Creators/Contributors
| Author | Sullera, Ma. Michelle |
|---|---|
| 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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- User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
Preferred citation
- Preferred Citation
- Sullera, Ma. Michelle. (1998). Inferring Injection Returns from Chloride Monitoring Data. Stanford Digital Repository. Available at: https://purl.stanford.edu/cp557sy8272
Collection
Master's Theses, Doerr School of Sustainability
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- brannerlibrary@stanford.edu
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