Numerical Study on the Enhanced Oil Recovery by CO 2 Huff-n-Puff in Shale Volatile Oil Formations

Aiwei Zheng, Wentao Lu (), Rupeng Zhang and Hai Sun ()
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Aiwei Zheng: Sinopec Shale Oil and Gas Exploration and Development Key Laboratory, Exploration and Development Research Institute, Sinopec Jianghan Oilfield Company, Wuhan 430223, China
Wentao Lu: Sinopec Shale Oil and Gas Exploration and Development Key Laboratory, Exploration and Development Research Institute, Sinopec Jianghan Oilfield Company, Wuhan 430223, China
Rupeng Zhang: State Key Laboratory of Deep Oil and Gas, China University of Petroleum (East China), Qingdao 266580, China
Hai Sun: State Key Laboratory of Deep Oil and Gas, China University of Petroleum (East China), Qingdao 266580, China

Energies, 2024, vol. 17, issue 19, 1-12

Abstract: The Sichuan Basin’s Liangshan Formation shale is rich in oil and gas resources, yet the recovery rate of shale oil reservoirs typically falls below 10%. Currently, gas injection huff-n-puff (H-n-P) is considered one of the most promising methods for improving shale oil recovery. This study numerically investigates the application of the CO 2 huff-n-puff process in enhancing oil recovery in shale volatile oil reservoirs. Using an actual geological model and fluid properties of shale oil reservoirs in the Sichuan Basin, the CO 2 huff-n-puff process was simulated. The model takes into account the molecular diffusion of CO 2 , adsorption, stress sensitivity effects, and nanopore confinement. After history matching, through sensitivity analysis, the optimal injection rate of 400 tons/day, soaking time of 30 days, and three cycles of huff-n-puff were determined to be the most effective. The simulation results show that, compared with other gases, CO 2 has significant potential in improving the recovery rate and overall efficiency of shale oil reservoirs. This study is of great significance and can provide valuable references for the actual work of CO 2 huff-n-puff processes in shale volatile oil reservoirs of the Sichuan Basin.

Keywords: shale volatile oil formations; CO 2 huff-n-puff; numerical simulation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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