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Performance Evaluation of Ionic Liquids Using Numerical Simulation
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作者 Mostafa Elaghoury Ali Alarbah +1 位作者 Ezeddin Shirif Na Jia 《Advances in Chemical Engineering and Science》 CAS 2022年第3期145-162,共18页
Given the rise in oil productivity from conventional and unconventional resources in Canada using Enhanced Oil Recovery (EOR), the need to understand and characterize these techniques, for the purpose of recovery opti... Given the rise in oil productivity from conventional and unconventional resources in Canada using Enhanced Oil Recovery (EOR), the need to understand and characterize these techniques, for the purpose of recovery optimization, has taken a prominent role in resource management. Chemical flooding has proved to be one of the most efficient EOR techniques. This study investigated the potential of employing Ionic Liquids (ILs) as alternative chemical agents for improving oil recovery. There is very little attention paid to employing this technique as well as few experimental and simulation studies. Consequently, very limited data are available. Since pilot and field studies are relatively expensive and time consuming, a numerical simulation study using CMG-STARS simulator was utilized to explore the efficiency of employing 1-Ethyl-3-Methyl-Imidazolium Acetate ([EMIM][Ac]) and 1-Benzyl-3-meth- limidazolium chloride ([BenzMIM][Cl]) with respect to improving medium oil recovery. Eight different lab-scale sandpack flooding experiments were selected to develop a numerical model to obtain the history matching of the experimental flooding results using CMG-CMOST. We observed that the main challenge was tuning the relative permeability curves to achieve a successful match for the oil recovery factor. Finally, a sensitivity study was performed to examine the effect of the chemical injection rate, the chemical concentration, the slug size, and the initiation time on oil recovery. The results showed a noticeable increase in the oil RF when injecting IL compared to conventional waterflooding. 展开更多
关键词 cmg-stars cmg-CMOST Chemical Flooding Ionic Liquid Recovery Factor History Matching
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Numerical analysis of SiO_(2)-SDS surfactant effect on oil recovery in sandstone reservoirs
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作者 Hisham Ben Mahmud Boon Chu Tan +2 位作者 Ausama Giwelli Ali Falah Al-Rubaye Mian Umer Shafiq 《Energy Geoscience》 2021年第4期238-245,共8页
Currently,the demand for using nanoparticles(NPs)in Enhanced Oil Recovery(EOR)is very high.The use of NPs can drastically benefit EOR by changing the rock wettability,improving the mobility of oil phase and decreasing... Currently,the demand for using nanoparticles(NPs)in Enhanced Oil Recovery(EOR)is very high.The use of NPs can drastically benefit EOR by changing the rock wettability,improving the mobility of oil phase and decreasing the interfacial tension(IFT)between oil/water.Most of the previous studies were experimentally conducted and limited to specific operating conditions.This study contributes to the understanding of nanoparticle behaviour at altered operating conditions.In this investigation,a 3-D numerical model of silica nanofluid proposed for EOR is presented.A numerical model of core-scale sandstone was developed using Computer Modelling Group(CMG)-STARS simulator.The developed model was well validated against an experimental data.Then Silicon Dioxide(SiO_(2))and Sodium Dodecyl Sulphate(SDS)nano-surfactant mixture were injected with different concentrations.The optimum concentration of SiO_(2)eSDS solution was obtained at 0.15 wt%with the highest recovery factor of 71.86%achieved.Moreover,SiO_(2)eSDS solution injection rate and temperature were investigated and it was found that the optimum operating conditions of injection rate and temperature were 2 cc/min and 60C with the highest recovery achieved.In addition,a heavy crude oil showed a significant increment of oil recovery compared with a light crude with 3.13%and 0.6%,respectively.The intermediate viscosity of used crude oil had the highest oil recovery increment. 展开更多
关键词 EOR cmg-stars Numerical modeling SiO_(2)eSDS Flooding
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基于数值模拟的天然气水合物和浅层气合采产能影响因素研究
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作者 温慧芸 《天然气技术与经济》 2022年第5期38-44,共7页
为了推动我国海洋天然气水合物(以下简称水合物)藏实现高产能开发,为我国尽早实现海洋天然气水合物商业化开发提供技术支撑,以下伏气的水合物藏降压开采为研究目标,分析了最小井底流压、储层渗透率及井型等参数对水合物和下伏气联合降... 为了推动我国海洋天然气水合物(以下简称水合物)藏实现高产能开发,为我国尽早实现海洋天然气水合物商业化开发提供技术支撑,以下伏气的水合物藏降压开采为研究目标,分析了最小井底流压、储层渗透率及井型等参数对水合物和下伏气联合降压法开采时产能的影响。研究结果表明:(1)渗透率一定的情况下,井底最小流压越小,高峰日产气量越大,最终累产气量越多;(2)渗透率对产能影响很大,当水合物和浅层气渗透率不同时,水合物层渗透率小于2.5 mD且浅层气渗透率小于15.0 mD时,无法达到日均5×10^(4)m^(3)的产能;当水合物和浅层气渗透率相同时,储层渗透率大于8.0 mD时,可以达到日均5×10^(4)m^(3)的产能;(3)分支井的开发效果优于水平井和定向井的开发效果。结论认为,储层渗透率对水合物和下伏气联合降压法开采影响较大,在联合开采过程中,需要加强储层取样及测试数据分析,明确水合物和浅层气层有效渗透率。 展开更多
关键词 天然气水合物 浅层气 单井产气量 cmg-star模块 敏感性分析
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