A Method to Evaluate the Economics of Thermal Recovery Projects
Abstract/Contents
- Abstract
- An economic model for thermal recovery has been developed. This study evaluates the optimum recovery rates and production schedule under both steam drive and in-situ combustion processes, possible future production, and the economics of each method based on today's prices.The recovery model for steam injection is based on the work of Ramey and Raghavan (1972) which presented a computer program to determine surface steam line and wellbore heat losses, vertical heat losses to the adjacent formation, an oil recovery schedule, and associated steam injection calculations. The recovery model of in-situ combustion is based on the Gates and Ramey (1976) method of making engineering calculations of air-oil ratios and oil rates as a function of oil recovery.Once recovery rates for steam drive and in-situ combustion are obtained, a cash flow analysis may be made. Capitalization and operating costs are considered and income is discounted to net present worth Thus, an engineer may be able to use this method to help evaluate which process would be more profitable for a particular reservoir.
Description
Type of resource | text |
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Date created | June 1980 |
Creators/Contributors
Author | Williams, Richard Llewellyn |
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Degree granting institution | Stanford University, Department of Petroleum Engineering |
Subjects
Subject | School of Earth Energy & Environmental Sciences |
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Genre | Thesis |
Bibliographic information
Access conditions
- Use and reproduction
- 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
- Williams, Richard Llewellyn. (1980). A Method to Evaluate the Economics of Thermal Recovery Projects. Stanford Digital Repository. Available at: https://purl.stanford.edu/qg882dn4516
Collection
Master's Theses, Doerr School of Sustainability
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