2022
DOI: 10.1615/jpormedia.2022039513
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Pore-Scale Investigation of Wetting Strength on Capillary Pressure Hysteresis in a Realistic Porous Media

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Cited by 1 publication
(2 citation statements)
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“…Indeed, using an appropriate numerical technique with the pore‐scale imaging can be introduced as a complement or even alternative to experimental methods. The lattice Boltzmann method (LBM) as a powerful tool can provide clear insights into phenomena in digital rock physics (Guiltinan et al., 2021; Moradi, Zojaji, et al., 2022; Pan et al., 2004; Zhao et al., 2018). In this method, the fluid flow is considered in the actual rock geometry, while in the pore‐network modeling, a simple representation of the porous structure is defined to simulate the flow dynamics, so that the accuracy of the simulation strongly depends on the extracted network (Moradi, Moghadam, et al., 2022; Piri & Blunt, 2005; Xie et al., 2017).…”
Section: Introductionmentioning
confidence: 99%
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“…Indeed, using an appropriate numerical technique with the pore‐scale imaging can be introduced as a complement or even alternative to experimental methods. The lattice Boltzmann method (LBM) as a powerful tool can provide clear insights into phenomena in digital rock physics (Guiltinan et al., 2021; Moradi, Zojaji, et al., 2022; Pan et al., 2004; Zhao et al., 2018). In this method, the fluid flow is considered in the actual rock geometry, while in the pore‐network modeling, a simple representation of the porous structure is defined to simulate the flow dynamics, so that the accuracy of the simulation strongly depends on the extracted network (Moradi, Moghadam, et al., 2022; Piri & Blunt, 2005; Xie et al., 2017).…”
Section: Introductionmentioning
confidence: 99%
“…In this method, the fluid flow is considered in the actual rock geometry, while in the pore‐network modeling, a simple representation of the porous structure is defined to simulate the flow dynamics, so that the accuracy of the simulation strongly depends on the extracted network (Moradi, Moghadam, et al., 2022; Piri & Blunt, 2005; Xie et al., 2017). Meanwhile, kinetic nature, automatic capturing of fluids interface, and parallel computing are other advantages of the LBM in computational fluid dynamics (Moradi, Zojaji, et al., 2022; Sedahmed et al., 2022; Warda et al., 2017).…”
Section: Introductionmentioning
confidence: 99%