Application of Reservoir Simulation and Linear Programming to Optimization of Primary and Secondary Oil Recovery
Abstract/Contents
- Abstract
- The optimization of field operations under a given set of technical and economic constraints has been a key topic of study in the last years in petroleum engineering research. It turns out, however, that no method allying satisfactory accuracy to reasonable computing cost has been designed. This report attempts to demonstrate that an "optimum control procedure" may be applied to any industrial oil and/or gas reservoir at low cost and at acceptable accuracy level. Both primary and secondary recovery processes will be considered.The method proposed here is an original approach to the problem and is presented in two main sections. First, the modelling phase provides one with an analytical linear model of the reservoir. This phase is performed by referring to a reservoir simulator model as the experimental basis and by using a multiple variable regression analysis for fitting the experimental data. Second the optimization phase is performed by using a linear programming algorithm, a procedure which is very easy to work with. Non-linear effects, such as those generated by the presence of gas, are approximated by performing several procedural iterations.The application of this method to the case of a hypothetical full scale reservoir demonstrates the validity of the optimum control procedure. Furthermore, it allows one to anticipate acceptable results when considering' the case of any real oil and/or gas reservoir that features a large number of producer and injector wells.
Description
Type of resource | text |
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Date created | May 1982 |
Creators/Contributors
Author | See, Bertrand A. |
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Primary advisor | Horne, Roland N. |
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
- See, Bertrand A. (1982). Application of Reservoir Simulation and Linear Programming to Optimization of Primary and Secondary Oil Recovery. Stanford Digital Repository. Available at: https://purl.stanford.edu/kk912gx0432
Collection
Master's Theses, Doerr School of Sustainability
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