李莺歌

副教授

副教授 硕士生导师

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所在单位:电子教研室

学历:博士研究生

办公地点:青岛市崂山区松岭路99号 青岛科技大学 自动化与电子工程学院

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Experimental study on the inlet behavior of CO<inf>2</inf> foam three phase displacement processes in porous media

发布时间:2021-03-15 点击次数:

关键字:Enhanced recovery;Carbon dioxide - Computerized tomography - Drops - Floods - Oil well flooding - Population statistics - Porous materials - Pressure drop - Stochastic models - Stochastic systems
摘要:In relation with the potential applications of CO<inf>2</inf> foam technology on Enhanced Oil Recovery and CO<inf>2</inf> geological storage, the foam assisted CO<inf>2</inf> displacement process in a surfactant solution and oil pre-saturated porous medium is experimentally investigated with special attention on the dynamic foam propagation behavior in the entrance region of porous media. Computational Tomography (CT) imaging is employed to visualize the transient CO<inf>2</inf> foam sweep process and the dual-energy CT measurement is performed to obtain the dynamic three phase saturation distributions along the sample core. Studying parameters include the comparison with N<inf>2</inf> foam, system backpressure and the porous medium permeability. It is found foam could push most of the liquid phase in the latter part of the porous media but leaves the forepart of the sample less flooded, showing a clear entrance effect of foam flooding process. Compared to CO<inf>2</inf> foam, N<inf>2</inf> foam displacement process shows higher liquid phase saturation in the entrance section and presents less oil recovery rate. Elevating system backpressure to 1.0 MPa leads to less pressure drop for CO<inf>2</inf> foam flooding process without compromising the oil phase sweep efficiency. The CO<inf>2</inf> foam flooding process in lower permeable medium shows higher pressure drop and higher oil recovery rate. The mechanisms for the inlet behavior of the foam displacement processes have been scrutinized based on good qualitative and quantitative agreement of the experimental and numerical results with the stochastic bubble population balance model.<br/> © 2019 Elsevier Inc.
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