随机性
体积分数
岩性
蒙特卡罗方法
磁导率
含水层
同种类的
矿物学
地质学
土壤科学
材料科学
化学
地下水
数学
热力学
岩土工程
统计
物理
地球化学
膜
生物化学
作者
Yiyan Zhong,Qi Li,Liang Xu,Yiping Wen,Yunlu Hou,Wenbin Gao
摘要
Abstract Saline aquifer rocks exhibit significant spatial randomness due to geological sedimentation processes. To address the issue of the heterogeneity of rock formations in numerical simulations, it is common practice to homogenize rock layers with similar lithologies. However, the acceptability of the errors generated during homogenized computations is a major concern and should be investigated. Therefore, to study the influence of heterogeneity at the storage site on the CO 2 migration behavior, the Monte Carlo simulation–random finite element method (MCS‐RFEM) was combined with a CO 2 two‐phase flow model to compare the effects of the coefficient of variation ( C v ) and correlation length ( λ x ) of random reservoir permeability fields on the migration distance and extent of CO 2 storage under the same mean conditions. The results showed that higher C v and λ x values significantly reduced the CO 2 migration distance while increasing the spread extent. Compared to the homogeneous model, at a λ x value of 100 m, the CO 2 migration distance decreased by 5.05%, while the profile sweep area increased by 6.20%. Concurrently, with increasing C v , the area with a CO 2 volume fraction higher than 0.75 decreased by 20.22%, while an increase in λ x resulted in a 42.35% increase in the area with a CO 2 volume fraction higher than 0.75. Therefore, reservoirs with high C v and low λ x values are more suitable for safely storing CO 2 . © 2023 Society of Chemical Industry and John Wiley & Sons, Ltd.
科研通智能强力驱动
Strongly Powered by AbleSci AI