Analytical prediction of the formation factor for anisotropic mono-sized unconsolidated porous media

IF 4.1 2区 工程技术 Q2 ENGINEERING, CHEMICAL Chemical Engineering Science Pub Date : 2024-09-12 DOI:10.1016/j.ces.2024.120720
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Abstract

The rectangular Representative Unit Cell (RUC) models for mono-sized isotropic unconsolidated porous media have been extended to anisotropic media. Volume averaging was applied to Ohm's law in order to propose analytical expressions for the formation factor for electrical conduction in terms of the pore-scale linear dimensions. The formation factor, crucial for understanding electrical conduction in porous media, has significant applications in subsurface geophysics, petroleum reservoir characterization, and the durability assessment of construction materials. These analytical models provide valuable insights for optimizing the electrical properties of porous structures in various engineering fields, for example in mapping groundwater resources, differentiating oil-bearing zones in reservoirs, and predicting ion migration in concrete. Aspect ratios of the cell and solid dimensions have been introduced, and the formation factor expressed in terms thereof for five different arrays, i.e. a regular, a non-overlapping streamwisely fully staggered, an overlapping streamwisely fully staggered, a non-overlapping transversally fully staggered, and an overlapping transversally fully staggered array. The Laplace equation has furthermore been solved numerically for two-dimensional versions of the different arrays and the formation factor computed for several values of the aspect ratios. The proposed analytical models have been validated against the generated numerical data and compared to experimental and numerical data obtained from the literature. The proposed models have also been adapted to include a percolation threshold porosity in order to improve the model predictions for very low porosity media.

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用于单尺寸各向同性非固结多孔介质的矩形代表单元单元(RUC)模型已扩展到各向异性介质。将体积平均法应用于欧姆定律,以便根据孔隙尺度线性尺寸提出电导形成因子的分析表达式。形成系数对于理解多孔介质中的电导至关重要,在地下地球物理学、石油储层特征描述和建筑材料耐久性评估中有着重要应用。这些分析模型为优化各工程领域多孔结构的电特性提供了宝贵的见解,例如在绘制地下水资源图、区分储层中的含油区以及预测混凝土中的离子迁移等方面。我们引入了单元和实体尺寸的长宽比,并用它们来表示五种不同阵列的形成因子,即规则阵列、非重叠流向完全交错阵列、重叠流向完全交错阵列、非重叠横向完全交错阵列和重叠横向完全交错阵列。此外,还对不同阵列的二维版本进行了拉普拉斯方程的数值求解,并计算了若干纵横比值的形成因子。所提出的分析模型已根据生成的数值数据进行了验证,并与从文献中获得的实验和数值数据进行了比较。还对所提出的模型进行了调整,使其包括渗流阈值孔隙率,以改进模型对极低孔隙率介质的预测。
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来源期刊
Chemical Engineering Science
Chemical Engineering Science 工程技术-工程:化工
CiteScore
7.50
自引率
8.50%
发文量
1025
审稿时长
50 days
期刊介绍: Chemical engineering enables the transformation of natural resources and energy into useful products for society. It draws on and applies natural sciences, mathematics and economics, and has developed fundamental engineering science that underpins the discipline. Chemical Engineering Science (CES) has been publishing papers on the fundamentals of chemical engineering since 1951. CES is the platform where the most significant advances in the discipline have ever since been published. Chemical Engineering Science has accompanied and sustained chemical engineering through its development into the vibrant and broad scientific discipline it is today.
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