水力化学耦合作用下裂隙岩渗透特性的孔隙尺度研究

IF 2.1 3区 地球科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computational Geosciences Pub Date : 2024-07-30 DOI:10.1007/s10596-024-10308-8
Zheng Chen, Chuan-Yong Zhu, Bo Yu, Liang Gong
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引用次数: 0

摘要

裂隙岩的渗透特性对地下能源资源的有效开发具有重要影响。在地下环境条件下,裂隙岩渗透率的演化受流体流动和化学反应的双重影响。Kozeny-Carman 模型等传统模型已不再适合准确预测水力化学耦合作用下的渗透率。本研究构建了二维断裂岩石模型,并结合格点玻尔兹曼法,建立了孔隙尺度的水化学耦合模型,以探讨不同条件下断裂岩石孔隙结构和渗透率的演化特征。结果表明,受渗流和化学反应的综合影响,裂隙岩在演化过程中孔隙结构的分布特征各不相同,包括扩散控制型、对流控制型和反应控制型。此外,孔隙结构的变化会导致孔隙度相同的断裂岩之间的渗透率差异。最后,提出了一个有效的模型来预测水力化学耦合作用下裂隙岩的孔隙度-渗透率关系。预测值与使用公式计算值之间的相对误差在 ± 15% 的范围内。
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Pore-scale study on the permeability characteristics of fractured rock under hydraulic-chemical coupling

The permeability characteristics of fractured rock significantly influence the efficient development of subsurface energy resources. Under subsurface environmental conditions, the evolution of fractured rock permeability is affected by both fluid flow and chemical reactions. Traditional models like the Kozeny-Carman model are no longer suitable for accurately predicting the permeability under hydraulic-chemical coupling. In this study, a two-dimensional fractured rock model is constructed and combined with the lattice Boltzmann method, a pore-scale hydraulic-chemical coupling model is developed to explore the evolution characteristics of the pore structure and permeability of fractured rocks under different conditions. The results show that due to the comprehensive influence of seepage flow and chemical reactions, the distribution characteristics of pore structure in fractured rocks are different during the evolution process, including diffusion-controlled, convection-controlled, and reaction-controlled. Additionally, pore structure variations result in permeability differences among fractured rock with identical porosity. Finally, an efficient model is proposed to predict the porosity–permeability relationships of fractured rocks under hydraulic-chemical coupling. The relative error between the predicted value and the value calculated using the formula falls within the range of ± 15%.

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来源期刊
Computational Geosciences
Computational Geosciences 地学-地球科学综合
CiteScore
6.10
自引率
4.00%
发文量
63
审稿时长
6-12 weeks
期刊介绍: Computational Geosciences publishes high quality papers on mathematical modeling, simulation, numerical analysis, and other computational aspects of the geosciences. In particular the journal is focused on advanced numerical methods for the simulation of subsurface flow and transport, and associated aspects such as discretization, gridding, upscaling, optimization, data assimilation, uncertainty assessment, and high performance parallel and grid computing. Papers treating similar topics but with applications to other fields in the geosciences, such as geomechanics, geophysics, oceanography, or meteorology, will also be considered. The journal provides a platform for interaction and multidisciplinary collaboration among diverse scientific groups, from both academia and industry, which share an interest in developing mathematical models and efficient algorithms for solving them, such as mathematicians, engineers, chemists, physicists, and geoscientists.
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