2005
DOI: 10.2136/vzj2004.0114
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Comparison of a Lattice‐Boltzmann Model, a Full‐Morphology Model, and a Pore Network Model for Determining Capillary Pressure–Saturation Relationships

Abstract: specific situation, only the wetting phase may need to be considered, (e.g., the Richards equation), or the NWP Effective hydraulic properties of porous media such as the capillary is considered additionally. pressure-saturation relation and the hydraulic conductivity functionClearly, the constitutive relations are a direct manifesare a direct manifestation of the underlying pore geometry. The porous tation of the complicated geometry of the underlying structure of a macroscopically homogeneous porous medium (… Show more

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Cited by 172 publications
(116 citation statements)
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“…A possible first step to assess the adequacy of a particular model to simulate water distribution in the soil pore space is to compare the results with other models, to make sure that there is general consistency among various alternative descriptions. Vogel et al [51], for example, compare the outputs of pore network and morphology models with the predictions of a lattice-Boltzmann code, based on structural data relative to a homogeneous sintered borosilicate glass sample. Ideally, however, a further step in the evaluation of a given model should involve the comparison of model outputs to experimental data.…”
Section: Introductionmentioning
confidence: 99%
“…A possible first step to assess the adequacy of a particular model to simulate water distribution in the soil pore space is to compare the results with other models, to make sure that there is general consistency among various alternative descriptions. Vogel et al [51], for example, compare the outputs of pore network and morphology models with the predictions of a lattice-Boltzmann code, based on structural data relative to a homogeneous sintered borosilicate glass sample. Ideally, however, a further step in the evaluation of a given model should involve the comparison of model outputs to experimental data.…”
Section: Introductionmentioning
confidence: 99%
“…Also bias likely depends on the characteristics and quality of the image data, and likely has to be evaluated for each data series. As best practice, macroscopic properties obtained from computer modeling are often used as validation criteria, whereby the calculated pore structure-related values like porosity (Iassonov et al 2009;Vogel et al 2005), permeability , and capillary pressure curves (Silin et al 2010), are compared to experimental data. Permeability can be derived from Lattice-Boltzmann (LBM) single-phase flow simulations on the segmented images (Chen et al 1991;Coles et al 1998;Ferreol and Rothmann 1995;Lehmann et al 2008;Vogel et al 2005;Zhang and Kwok 2006).…”
Section: Introductionmentioning
confidence: 99%
“…Hilpert and Miller (2001) found good agreement between the horizontal part of the experimental capillary pressure curves from mercury intrusion porosimetry (MIP) and values calculated using a pore morphology approach. This approach, first used by Hazlett (1995), operates with several morphological erosion and dilation operations, thus simulating static fluid distributions and saturation of wetting and non-wetting phase in the binary image of the pore space (Hilpert and Miller 2001;Vogel et al 2005). The pore morphology approach was successfully applied by Silin et al (2010) to compute capillary pressure curves and model fluid distributions of supercritical CO 2 in brine-saturated porous media under reservoir conditions (µ-CT two-phase flow experiment).…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, a more detailed modelling approach, such as the pore network modeling or full morphology (Lattice Boltzmann) simulations [56][57][58][59][60] would bring a more realistic description of the phenomena.…”
Section: Resultsmentioning
confidence: 99%