Visualization of Surfactant Flooding in Tight Reservoir Using Microfluidics

A. Scerbacova, Dmitrii Pereponov, Michael A. Tarkhov, V. Kazaku, A. Rykov, Ivan Filippov, E. Zenova, V. Krutko, A. Cheremisin, E. Shilov
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Abstract

Surfactant flooding is among the most studied and widespread EOR technologies that is being introduced into tight and low-permeable reservoirs to mobilize trapped oil. Typically, the selection of formulations for chemical flooding is associated with numerous challenges and constraints such as time-consuming core flooding tests, the high cost of the tests with modern saturation control methods, and a limited amount of core samples. To overcome these issues, microfluidic technology was applied to optimize the screening of surfactant compositions for flooding. The workflow of this project consisted of five main steps: (1) fabrication of microfluidic chips, (2) surfactant screening in bulk, (3) surfactant flooding in microfluidic chips, (4) image analysis and data interpretation. Silicon-glass microfluidic chips, which are 2D representatives of the reservoir porous media, were used in the experiments. The porous structure geometry was developed based on CT images of core samples from a particular field with low permeability. For the selected surfactants, interfacial behavior on the boundary with n-decane was studied and correlated with hydrocarbon recovery ability. The results obtained revealed that the IFT patterns have a significant influence on displacement efficiency. Thus, the surfactant compositions with a lower initial IFT than the equilibrium value achieved higher recovery factors.
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致密储层表面活性剂驱油的微流体可视化研究
表面活性剂驱是研究最多、应用最广泛的提高采收率技术之一,该技术正被引入致密和低渗透油藏,以开采困油。通常,化学驱配方的选择与许多挑战和限制有关,例如岩心驱油测试耗时,使用现代饱和度控制方法进行测试的成本高,以及岩心样品数量有限。为了克服这些问题,应用微流体技术优化了驱油表面活性剂的筛选。该项目的工作流程包括五个主要步骤:(1)微流控芯片的制作,(2)表面活性剂的批量筛选,(3)表面活性剂在微流控芯片中的驱油,(4)图像分析和数据解释。实验采用的硅玻璃微流控芯片是储层多孔介质的二维代表。基于某低渗透油田岩心样品的CT图像,开发了多孔结构几何形状。对于所选表面活性剂,研究了其与正癸烷的界面行为,并将其与油气采收率进行了对比。研究结果表明,IFT模式对驱替效率有显著影响。因此,初始IFT低于平衡值的表面活性剂组合可以获得更高的采收率。
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