Numerical Investigations of Low-Salinity Water Flooding in a Saline Sandstone Reservoir

被引:0
|
作者
Kandala, Viswakanth [1 ]
Govindarajan, Suresh Kumar [1 ]
机构
[1] Indian Inst Technol IIT Madras, Dept Ocean Engn, Reservoir Simulat Lab, Chennai 600036, Tamil Nadu, India
关键词
BRINE COMPOSITION; CRUDE-OIL; RECOVERY; INJECTION; MECHANISM;
D O I
10.1061/JLEED9.EYENG-4893
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
In the era of dominance of renewable energies and the pandemic-affected world, oil industries must produce oil from extant fields most economically. Further, increasing ecological awareness makes oil companies look forward to cost-effective, eco-friendly and efficient enhanced oil recovery (EOR) techniques like low-salinity water flooding (LSWF). The mechanism behind LSWF in the augmentation of oil recovery has been a prominent research area. The present study gives more profound insights into the impact of divalent cations (Ca2+ and Mg2+) on LSWF in clayey sandstones by considering the multi-ion exchange (MIE) mechanism. The developed mathematical model consists of a fluid transport model, an ion transport module incorporating MIE, and a model for the weighing factor to interpolate between low-saline and high-saline states. The present model was validated and verified with analytical solutions and experimental results in the literature. In this study, the dilution of the Ca(2+ )ion concentration by a factor of 10 and 100 times of formation water in injection water led to an enhancement in desorption of Ca2+ ions and a relative increase in oil recovery by 9.61% and 12.33%, respectively. Further, the dilution of both Mg2+ and Ca2+ ions by 100 times led to the highest relative oil recovery of 13.22%. This study also provides fundamental insights into the microscopic displacement efficiency and fractional flow curves in the LSWF, which is a novel attempt. Moreover, this work helps in quantifying oil recovery in clayey sandstone reservoirs and also assists in selecting suitable reservoir candidates for LSWF.
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页数:15
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