The Prediction of Oil Saturation Using the Carbon/Oxygen Log
Abstract/Contents
- Abstract
- This project investigates the nature of Carbon/Oxygen Log gamma-ray spectra. It presents an attempt to improve the signal-to-noise ratio of the C/O and Si/Ca parameters used by Dresser-Atlas to determine oil saturation. Two techniques were developed to subtract the Compton background from the spectral data. Neither technique significantly improves the accuracy of the cased-hole prediction of oil saturation. However, it has been shown that it is possible to develop a satisfactory correlation for oil saturation on a well-by-well basis. This correlation can then be used to generate oil-in-place from the C/O and Si/Ca ratios.
Description
| Type of resource | text |
|---|---|
| Date created | June 1982 |
Creators/Contributors
| Author | Horner, Simon |
|---|---|
| Primary advisor | Sanyal, Subir |
| Degree granting institution | Stanford University, Department of Petroleum Engineering |
Subjects
| Subject | School of Earth Energy & Environmental Sciences |
|---|---|
| Subject | Stanford University Petroleum Research Institute |
| Genre | Thesis |
Bibliographic information
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- Use and reproduction
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Preferred citation
- Preferred Citation
- Horner, Simon. (1982). The Prediction of Oil Saturation Using the Carbon/Oxygen Log. Stanford Digital Repository. Available at: https://purl.stanford.edu/zt273qc6778
Collection
Master's Theses, Doerr School of Sustainability
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- brannerlibrary@stanford.edu
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