Pore‐Scale Modeling of Coupled CO2 Flow and Dissolution in 3D Porous Media for Geological Carbon Storage

溶解 材料科学 传质 超临界流体 多孔介质 多孔性 卤水 润湿 磁导率 矿物学 化学工程 地质学 热力学 复合材料 化学 色谱法 生物化学 物理 工程类
作者
Yongfei Yang,Jinlei Wang,Jianzhong Wang,Yingwen Li,Hai Sun,Lei Zhang,Junjie Zhong,Kai Zhang,Jun Yao
出处
期刊:Water Resources Research [Wiley]
卷期号:59 (10) 被引量:36
标识
DOI:10.1029/2023wr035402
摘要

Abstract Dissolution trapping is one of the crucial trapping mechanisms for geological carbon storage in deep saline aquifers. The injected supercritical CO 2 (scCO 2 ) flow and dissolution processes are coupled and interact with each other. Therefore, we performed direct numerical simulations in three‐dimensional micro‐CT images of sandstones using the volume of fluid and continuous species transfer method. We investigated the coupled scCO 2 flow and dissolution processes at pore‐scale under different rock structures, capillary numbers, and rock wettability conditions. The dynamic evolution of the scCO 2 /brine phase distribution and scCO 2 concentration distribution occurring during the injection period were presented and analyzed. Complicated coupling mechanisms between scCO 2 ‐brine two‐phase flow and interphase mass transfer were also revealed. Our results showed that the scCO 2 dissolution was highly dependent on the local distribution of scCO 2 clusters. The rock with relatively high porosity and permeability would have more capacity for scCO 2 injection resulting in a faster and greater dissolution of scCO 2 in brine. The effect of capillary number on the scCO 2 dissolution process was related to the range of capillary number. The effective upscaled (macro‐scale) mass transfer coefficient ( k A ) during scCO 2 dissolution was evaluated, and the power‐law relationship between k A and Péclet number was obtained. Rock wettability was found to be another factor controlling the scCO 2 dissolution process by affecting the scCO 2 ‐brine interfacial area. Our pore‐scale study provides a deep understanding of the scCO 2 dissolution trapping mechanism, which is important to enhance the prediction of sequestration risk and improve sequestration efficiency.
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