Thickened oil electric heating-co2 synergistic drive buried self-adaptive regulation and heuristic optimization method
By constructing a heavy oil electrothermal-CO2 synergistic flooding reservoir model and using particle swarm optimization to optimize the temperature of the electrically heated well and the CO2 injection rate, the gas channeling phenomenon in heavy oil reservoirs was solved, achieving a balance between high-efficiency oil and gas recovery and CO2 sequestration, thus improving the development effect and economic benefits of heavy oil reservoirs.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CHINA UNIV OF PETROLEUM (EAST CHINA)
- Filing Date
- 2026-06-12
- Publication Date
- 2026-07-17
AI Technical Summary
In the development of heavy oil reservoirs, existing technologies suffer from gas channeling during the electrothermal-CO2 synergistic flooding process, resulting in low displacement efficiency. Furthermore, the lack of real-time control methods for complex electrothermal-CO2 synergistic systems makes it difficult to achieve a balance between high-efficiency oil and gas recovery and CO2 sequestration.
A heavy oil electrothermal-CO2 synergistic flooding reservoir model was constructed. The temperature of the electrically heated well and the CO2 injection rate were optimized through particle swarm optimization to control the reservoir development process in real time. Combined with reservoir economic evaluation indicators, adaptive control and heuristic optimization were achieved.
It significantly improved the recovery rate of heavy oil reservoirs, suppressed the risk of gas channeling, and achieved efficient CO2 sequestration, thus maximizing economic benefits and achieving a balance between low-carbon production.
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Figure CN122407149A_ABST