Minkowski functional evaluation of representative elementary volume of rock microtomography images at multiple resolutions

曲折 多孔性 多孔介质 代表性基本卷 闵可夫斯基空间 磁导率 比例(比率) 体积热力学 同步加速器 几何学 曲率 地质学 矿物学 材料科学 数学 物理 光学 岩土工程 化学 微观结构 热力学 复合材料 量子力学 生物化学
作者
Saeid Sadeghnejad,Marcel Reinhardt,Frieder Enzmann,Pit Arnold,Bianca Brandstätter,Holger Ott,Fabian Wilde,Sarah Hupfer,Thorsten Schäfer,Michael Kersten
出处
期刊:Advances in Water Resources [Elsevier BV]
卷期号:179: 104501-104501 被引量:13
标识
DOI:10.1016/j.advwatres.2023.104501
摘要

Pore-scale properties can be obtained by building a reliable digital twin of porous media through the digital rock physics (DRP) workflow. The two prerequisites of DRP are reliable imaging and computing power. Determining a proper image resolution that can reveal the actual pore-scale properties is challenging as there is a trade-off between the resolution and the representative elementary volume (REV). The REV is the smallest volume that reproduces the properties of the whole porous medium. The REV is a function of heterogeneities on the pore scale, the parameter of interest, and the scale range. Although the REV analysis for hydraulic properties is straightforward, it is computationally expensive. This study aims to estimate hydraulic pore-scale properties during REV evaluations by the geometric characterization of porous media using the Minkowski morphological functionals. Two sandstone and one carbonate rock samples were scanned at multiple imaging resolutions by both laboratory and synchrotron tomography. The REVs of various parameters of interest (porosity, permeability, surface area, tortuosity, Minkowski functionals) were computed, and the effect of image resolution and artificial rebinning on the final REV values was examined. After reaching the REV for porosity, the REV for the integrals of mean and total curvature agreed well with the permeability REV for large-volume image sizes. At constant porosity, the Minkowski integrals were found to be indicators for pore throat sizes. We also showed that the properties obtained from the rebinned (or coarsened) images differ entirely from that of actual scans at the same resolution.
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