The Influence of Different Ions on the Performance of Low Salinity Water Flooding

被引:0
作者
Boroomand, Mohammad Reza [1 ]
Mosayebi, Amir [2 ]
机构
[1] Tafresh Univ, Dept Civil Engn, Tafresh 3951879611, Iran
[2] Tafresh Univ, Dept Chem Engn, Tafresh 3951879611, Iran
来源
IRANIAN JOURNAL OF CHEMISTRY & CHEMICAL ENGINEERING-INTERNATIONAL ENGLISH EDITION | 2023年 / 42卷 / 12期
关键词
Geochemical modeling; coupled PHREEQC- ECLIPSE; Genetic algorithm; Recovery factor; Wettability; Injected water ion; IMPROVED OIL-RECOVERY; WETTABILITY ALTERATION; CRUDE-OIL; INJECTION; CHALK; MECHANISMS; RESERVOIRS; CATALYST; METHANE; IMPACT;
D O I
暂无
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
In the recent decade, low salinity water flooding attained remarkable attention as a pioneering method for recovering oil. However, this method has several risks. To decrease the potential risk of conflict between injected water and rock /brine/crude oil system, the ion concentrations in injection water should be optimized. In this work, injection water composition during low salinity water flooding in a core model of carbonate reservoirs was simulated based on maximizing wettability change and minimizing compatibility. The optimum ion concentrations in injection water were obtained from geochemical software (PHREEQC) which was coupled with ECLIPSE software and a genetic algorithm. The optimum conditions of injection water were provided in low concentration of sodium ion (186 ppm) and high concentration of sulfate ion (7064 ppm). The optimization process based on the genetic algorithm was stopped after 764 times running of scenarios. The average recovery factor was obtained near 0.141 and the results presented that the average recovery factor was not dependent on calcium and chloride ions concentration ranges. Hence, these ions were not effective in the optimization process. However, the average recovery factor had a strong relation to sodium and sulfate ion concentrations.
引用
收藏
页码:4327 / 4338
页数:12
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