Development of a numerical workflow based on μ-CT imaging for the determination of capillary pressure-saturation-specific interfacial area relationship in 2-phase flow pore-scale porous-media systems: A case study on Heletz sandstone

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Peche, Aaron; Halisch, M.; Bogdan Tatomir, A.; Sauter, M.: Development of a numerical workflow based on μ-CT imaging for the determination of capillary pressure-saturation-specific interfacial area relationship in 2-phase flow pore-scale porous-media systems: A case study on Heletz sandstone. In: Solid Earth 7 (2016), Nr. 3, S. 727-739. DOI: http://dx.doi.org/10.5194/se-7-727-2016

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In this case study, we present the implementation of a finite element method (FEM)-based numerical pore-scale model that is able to track and quantify the propagating fluid–fluid interfacial area on highly complex micro-computed tomography (μ-CT)-obtained geometries. Special focus is drawn to the relationship between reservoir-specific capillary pressure (pc), wetting phase saturation (Sw) and interfacial area (awn). The basis of this approach is high-resolution μ-CT images representing the geometrical characteristics of a georeservoir sample. The successfully validated 2-phase flow model is based on the Navier–Stokes equations, including the surface tension force, in order to consider capillary effects for the computation of flow and the phase-field method for the emulation of a sharp fluid–fluid interface. In combination with specialized software packages, a complex high-resolution modelling domain can be obtained. A numerical workflow based on representative elementary volume (REV)-scale pore-size distributions is introduced. This workflow aims at the successive modification of model and model set-up for simulating, such as a type of 2-phase problem on asymmetric μ-CT-based model domains. The geometrical complexity is gradually increased, starting from idealized pore geometries until complex μ-CT-based pore network domains, whereas all domains represent geostatistics of the REV-scale core sample pore-size distribution. Finally, the model can be applied to a complex μ-CT-based model domain and the pc–Sw–awn relationship can be computed.
License of this version: CC BY 3.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2016
Appears in Collections:Fakultät für Bauingenieurwesen und Geodäsie

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1 image of flag of Germany Germany 178 67.42%
2 image of flag of United States United States 39 14.77%
3 image of flag of China China 11 4.17%
4 image of flag of Netherlands Netherlands 5 1.89%
5 image of flag of France France 5 1.89%
6 image of flag of Israel Israel 3 1.14%
7 image of flag of Indonesia Indonesia 3 1.14%
8 image of flag of United Kingdom United Kingdom 3 1.14%
9 image of flag of Algeria Algeria 3 1.14%
10 image of flag of India India 2 0.76%
    other countries 12 4.55%

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