Analytic Steam Injection Model for Layered Systems
Abstract/Contents
- Abstract
- Screening, evaluation and optimization of the steam flooding process in homogeneous reservoirs can be performed by using simple analytical predictive models. In the absence of any analytical model for layered reservoirs, at present, only numerical simulators can be used. And these are expensive. In this study, an analytical model has been developed considering two isolated layers of differing permeabilities. The principle of equal flow potential is applied across the two layers. Gajdica's (1990) single layer linear steam drive model is extended for the layered system. The formulation accounts for variation of heat loss area in the higher permeability layer, and the development of a hot liquid zone in the lower permeability layer. These calculations also account for effects of viscosity, density, fractional flow curves and pressure drops in the hot liquid zone. Steam injection rate variations in the layers are represented by time weighted average rates. For steam Zone calculations, Yortsos and Gavalas's (1981) upper bound method is used with a correction factor. The results of the model are compared with a numerical simulator. Comparable oil and water flow rates, and breakthrough times were achieved for 100 cp oil. Results with 10 cp and 1000 cp oils indicate the need to improve the formulation to properly handle differing oil viscosities.
Description
Type of resource | text |
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Date created | June 1993 |
Creators/Contributors
Author | Razzaq, Abdul |
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Primary advisor | Castanier, Louis M. |
Advisor | Brigham, William E. |
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
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Preferred citation
- Preferred Citation
- Razzaq, Abdul. (1993). Analytic Steam Injection Model for Layered Systems. Stanford Digital Repository. Available at: https://purl.stanford.edu/db467zf5938
Collection
Master's Theses, Doerr School of Sustainability
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