Modeling of multiphase flow in low permeability porous media: Effect of wettability and pore structure properties

相对渗透率 多孔介质 润湿 材料科学 磁导率 残余油 多相流 多孔性 饱和(图论) 提高采收率 岩土工程 石油工程 复合材料 地质学 机械 化学 生物化学 物理 数学 组合数学
作者
Xiangjie Qin,Yuxuan Xia,Juncheng Qiao,Jiaheng Chen,Zeng Jian,Jianchao Cai
出处
期刊:Journal of rock mechanics and geotechnical engineering [Elsevier BV]
卷期号:16 (4): 1127-1139 被引量:19
标识
DOI:10.1016/j.jrmge.2023.06.007
摘要

Multiphase flow in low permeability porous media is involved in numerous energy and environmental applications. However, a complete description of this process is challenging due to the limited modeling scale and the effects of complex pore structures and wettability. To address this issue, based on the digital rock of low permeability sandstone, a direct numerical simulation is performed considering the interphase drag and boundary slip to clarify the microscopic water-oil displacement process. In addition, a dual-porosity pore network model (PNM) is constructed to obtain the water-oil relative permeability of the sample. The displacement efficiency as a recovery process is assessed under different wetting and pore structure properties. Results show that microscopic displacement mechanisms explain the corresponding macroscopic relative permeability. The injected water breaks through the outlet earlier with a large mass flow, while thick oil films exist in rough pore surfaces and poorly connected pores. The variation of water-oil relative permeability is significant, and residual oil saturation is high in the oil-wet system. The flooding range is extensive, and the residual oil is trapped in complex pore networks for hydrophilic pore surfaces; thus, water relative permeability is lower in the water-wet system. While the displacement efficiency is the worst in mixed-wetting systems for poor water connectivity. Microporosity negatively correlates with invading oil volume fraction due to strong capillary resistance, and a large microporosity corresponds to low residual oil saturation. This work provides insights into the water-oil flow from different modeling perspectives and helps to optimize the development plan for enhanced recovery.

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