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A rapid waterflooding optimization method based on INSIM-FPT data-driven model and its application to three-dimensional reservoirs
- Source :
- Fuel. 292:120219
- Publication Year :
- 2021
- Publisher :
- Elsevier BV, 2021.
-
Abstract
- Conventional production optimization for waterflooding reservoirs relies on full-scale reservoir simulators and repeated simulation runs to calulate gradient information. These factors lead to expensive computational cost. Different from the conventional optimization, in this paper, a novel waterflooding optimization method is developed by running a data-driven interwell numerical simulation model with flow-path tracking (INSIM-FPT) in three dimensions. With the application of flow-path tracking strategy, the more-accurate calculations of dynamic allocation factors and control pore volumes can be obtained from INSIM-FT-3D model. Moreover, based on the INSIM model, we define producer-centered production efficiency of wells with multiple perforations and propose a rapid waterflooding optimization method. The optimized well production rates and injection rates are obtained with the help of the oil cut and the existing injector-centered allocation factors derived from INSIM model. The new optimization method requires only one time forward run without repeated iterative calculations. And the optimization is completely based on reservoir-engineering points of view, making it easy to explain oil increment mechanisms. Finally, a synthetic case and the other large-scale field case is established to test its optimization performance.
- Subjects :
- Mathematical optimization
Computer simulation
Computer science
020209 energy
General Chemical Engineering
Organic Chemistry
Production optimization
Energy Engineering and Power Technology
02 engineering and technology
Production efficiency
Tracking (particle physics)
Field (computer science)
Data-driven
Fuel Technology
Lead (geology)
020401 chemical engineering
0202 electrical engineering, electronic engineering, information engineering
0204 chemical engineering
Subjects
Details
- ISSN :
- 00162361
- Volume :
- 292
- Database :
- OpenAIRE
- Journal :
- Fuel
- Accession number :
- edsair.doi...........ac1071fddd064bb0e144e17e0ce425cd