Combined numerical and experimental study of microstructure and permeability in porous granular media
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Published:2020-06-25
Issue:3
Volume:11
Page:1079-1095
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ISSN:1869-9529
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Container-title:Solid Earth
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language:en
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Short-container-title:Solid Earth
Author:
Eichheimer PhilippORCID, Thielmann MarcelORCID, Fujita Wakana, Golabek Gregor J.ORCID, Nakamura Michihiko, Okumura Satoshi, Nakatani Takayuki, Kottwitz Maximilian O.ORCID
Abstract
Abstract. Fluid flow on different scales is of interest for several Earth science disciplines like petrophysics, hydrogeology and volcanology. To parameterize fluid flow in large-scale numerical simulations (e.g. groundwater and volcanic systems), flow properties on the microscale need to be considered. For this purpose experimental and numerical investigations of flow through porous media over a wide range of porosities are necessary. In the present study we sinter glass bead media with various porosities and measure the permeability experimentally. The microstructure, namely effective porosity and effective specific surface, is investigated using image processing. We determine flow properties like tortuosity and permeability using numerical simulations.
We test different parameterizations for isotropic low-porosity media on their potential to predict permeability by comparing their estimations to computed and experimentally measured values.
Publisher
Copernicus GmbH
Subject
Paleontology,Stratigraphy,Earth-Surface Processes,Geochemistry and Petrology,Geology,Geophysics,Soil Science
Reference93 articles.
1. Ahmadi, M. M., Mohammadi, S., and Hayati, A. N.: Analytical derivation of
tortuosity and permeability of monosized spheres: A volume averaging
approach, Phys. Rev. E, 83, 026312, https://doi.org/10.1103/PhysRevE.83.026312, 2011. a 2. Andrä, H., Combaret, N., Dvorkin, J., Glatt, E., Han, J., Kabel, M., Keehm,
Y., Krzikalla, F., Lee, M., Madonna, C., Marsh, M., Mukerji, T., Saenger,
E. H., Sain, R., Saxena, N., Ricker, S., Wiegmann, A., and Zhan, X.: Digital
rock physics benchmarks–Part II: Computing effective properties,
Comput. Geosci., 50, 33–43,
https://doi.org/10.1016/j.cageo.2012.09.008, 2013a. a, b, c 3. Andrä, H., Combaret, N., Dvorkin, J., Glatt, E., Han, J., Kabel, M., Keehm,
Y., Krzikalla, F., Lee, M., Madonna, C., Marsh, M., Mukerji, T., Saenger,
E. H., Sain, R., Saxena, N., Ricker, S., Wiegmann, A., and Zhan, X.: Digital
rock physics benchmarks–Part I: Imaging and segmentation,
Comput. Geosci., 50, 25–32, https://doi.org/10.1016/j.cageo.2012.09.005,
2013b. a 4. Arns, C. H.: A comparison of pore size distributions derived by NMR and
X-ray-CT techniques, Physica A, 339, 159–165, https://doi.org/10.1016/j.physa.2004.03.033, 2004. a 5. Arns, C. H., Knackstedt, M. A., Pinczewski, M. V., and Lindquist, W.: Accurate
estimation of transport properties from microtomographic images, Geophys. Res. Lett., 28, 3361–3364, https://doi.org/10.1029/2001GL012987, 2001. a
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