Journal of Petroleum Science & Engineering2022,Vol.215PB12.DOI:10.1016/j.petrol.2022.110732

Computational study on the three phase displacement characteristics of foam fluids in porous media

Yingge Li Di Zhao Dongxing Du
Journal of Petroleum Science & Engineering2022,Vol.215PB12.DOI:10.1016/j.petrol.2022.110732

Computational study on the three phase displacement characteristics of foam fluids in porous media

Yingge Li 1Di Zhao 1Dongxing Du1
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作者信息

  • 1. Geo-Energy Research Institute, College of Electromechanical Engineering, Qingdao University of Science and Technology, Gaomi, 261550, China
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Abstract

Foam technology has shown great potentials not only on enhancing oil recovery (EOR) but also on the Carbon Capture Storage Utilization (CCUS) applications. In this paper, the foam three phase displacement characteristics in the porous media is investigated based on the mechanistic Stochastic Bubble Population Balance (SBPB) model. With taking the foam generation rate Kg and maximum bubble density nmax as the key influential parameters, the dynamic distributions of the water, oil and gas phase saturations as well as the bubble densities along the foam flow direction are successfully obtained. Firstly, the overall computation frame is validated based on good agreements between the numerical and the reported experimental results on the foam displacement efficiency on water and oil phases. Then, the parameter studies are thoroughly performed concerning the two key factors of K_g and n_(max) in the SBPB model. Numerical results show the parameter of K_g dominates the foam flow behavoir in the inlet region of the porous media therefore doesn't show significant effect on the final oil and gas phase recovery rates. On the other hand, it is found larger nmax could lead to higher oil and water recovery ratio, which indicates to increase the n_(max) values of the foam fluid could act as the favorable means in oil recovery enhancement practices.

Key words

Foam/Three phase displacement characteristics/Porous media/Mechanistic simulation/Stochastic bubble population balance model

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出版年

2022
Journal of Petroleum Science & Engineering

Journal of Petroleum Science & Engineering

ISSN:0920-4105
被引量10
参考文献量48
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