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油藏工程
FUEL · 2018 · IF 4.908

Smart mobility control agent for enhanced oil recovery during CO2 flooding in ultra-low permeability reservoirs

Yan Zhang,Mingwei Gao,Qing You,Hongfu Fan,Wenhui Li,Yifei Liu,Jichao Fang,Guang Zhao,Zhehui Jin,Caili Dai

The development of natural/artificial fractures leads to significant differences of the physical properties between the matrix and the fractures, which usually causes serious channeling and low sweep efficiency during CO 2 flooding in ultra-low permeability reservoirs , the use of a CO 2 -responsive smart mobility control system to generate bulk gel by wormlike micelles (WLMs) to mitigate gas channeling has great potentials for enhanced oil recovery (EOR) in ultra-low permeability reservoirs. In this study, five kinds of chemicals with CO 2 -sensitive groups are screened to measure the apparent viscosity using a rheometer . The experimental results show that the optimum system consists of 4.4 wt% N, N-dimethyl octylamide-propyl tertiary amine (DOAPA) and 2.0 wt% sodium p-toluenesulfonate (SPTS). Subsequently, the plugging capacity and EOR performance of the system are systematically evaluated using core flooding experiments. The optimized system (DOAPA/SPTS) exhibits outstanding plugging capacity for gas channeling with a plugging efficiency of 99.2%. The oil recovery of the CO 2 flooding increases by 20.0%. In addition, the thickening mechanism of the CO 2 -responsive system is studied using rheological experiments and a cryogenic transmission electron microscopy (Cryo-TEM). The shear-thinning behavior demonstrates that the thickening effect of the high-viscosity WLMs is strong in the DOAPA/SPTS-CO 2 solution, and the Cryo-TEM results indicate a transition from spherical micelles to the WLMs. The protonation contributes to the formation of the WLMs in the solution during phase transformation process. The results of this study are expected to provide benchmark to select the mobility control agent for CO 2 flooding in ultra-low permeability reservoirs.

研究领域: 石油工程 · 提高采收率 · 胶体与界面科学 · 油藏工程 · 智能材料
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