An expert system for selecting and designing EOR processes

The importance of enhanced oil recovery (EOR) processes in the petroleum industry makes its understanding and prediction critical in the decisions on the applicability of certain recovery techniques. A large number of EOR projects have been applied in many regions around the world. This has lead to...

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Bibliographic Details
Published in:Journal of petroleum science & engineering 2000-07, Vol.27 (1), p.33-47
Main Author: Gharbi, Ridha B.C
Format: Article
Language:English
Subjects:
Applied sciences
artificial intelligence
Crude oil, natural gas and petroleum products
Crude oil, natural gas, oil shales producing equipements and methods
Energy
enhanced oil recovery
Enhanced oil recovery methods
Exact sciences and technology
expert systems
Fuels
porous medium
Prospecting and production of crude oil, natural gas, oil shales and tar sands
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Summary:The importance of enhanced oil recovery (EOR) processes in the petroleum industry makes its understanding and prediction critical in the decisions on the applicability of certain recovery techniques. A large number of EOR projects have been applied in many regions around the world. This has lead to an increased understanding of the selection and applicability of certain oil recovery projects. In this paper, an artificial intelligence (AI) technique has been applied to assist in the selection and design of EOR processes. The expert system developed in this study is able to perform the following consultations: (1) select an appropriate EOR process on the basis of the reservoir characteristics, (2) prepare appropriate input data sets to design the selected EOR process using the existing numerical simulators, and (3) make optimization studies on several key parameters (selected by the user) in order to optimize oil recovery from the selected EOR process.
ISSN:0920-4105
1873-4715
DOI:10.1016/S0920-4105(00)00049-8