2014
DOI: 10.1002/2013wr015148
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Relative permeability of homogenous-wet and mixed-wet porous media as determined by pore-scale lattice Boltzmann modeling

Abstract: We present a pore-scale study of two-phase relative permeability in homogenous-wet porous media, and porous media altered to a mixed-wet state. A Shan-Chen type multicomponent lattice Boltzmann (LB) model is employed to determine pore-scale fluid distributions and relative permeability. Mixedwet states are created by altering the wettability of solid surfaces in contact with the nonwetting phase at the end of steady state simulation of initially homogenous-wet porous media. To ensure accurate representation of… Show more

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Cited by 94 publications
(67 citation statements)
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“…Under mixed-wet conditions, that characterize the majority of natural porous media (e.g. rocks, soils), both fluids may contact the solid surfaces, the steady-state two-phase flow regimes are expected to become more complicated and the steady-state oil and water relative permeability are expected to change drastically (Landry et al, 2014). Therefore, any results obtained with experiments conducted on homogeneous-wet porous media cannot be extrapolated explicitly to mixed-wet porous media.…”
Section: Introductionmentioning
confidence: 99%
“…Under mixed-wet conditions, that characterize the majority of natural porous media (e.g. rocks, soils), both fluids may contact the solid surfaces, the steady-state two-phase flow regimes are expected to become more complicated and the steady-state oil and water relative permeability are expected to change drastically (Landry et al, 2014). Therefore, any results obtained with experiments conducted on homogeneous-wet porous media cannot be extrapolated explicitly to mixed-wet porous media.…”
Section: Introductionmentioning
confidence: 99%
“…Small pores and corners of the pore space remain water‐wet due to the high capillary pressure required for the water displacement, leading to mixed‐wet conditions. Although fluid flow in mixed‐wet systems has been extensively modeled for estimation of capillary pressure and relative permeabilities (Bradford & Leij, ; Bultreys, Stappen, et al, ; Landry et al, ; Ryazanov et al, ; Valvatne & Blunt, ; van Dijke et al, ), limited studies investigated experimentally multiphase flow in mixed‐wet synthetic rocks (Al‐Raoush, ; Mirzaei et al, ) and real rocks (Habibi et al, ; M. Kumar et al, ; Schmatz et al, ; K Singh et al, ). Different methods have been implemented to prepare a mixed‐wet system including (1) mixing the oil‐wet sands treated with octadecyltrichlorosilane solutions and water‐wet sands at different ratios (Al‐Raoush, ; Mirzaei et al, ), (2) freezing the initial water followed by flushing with a stable chemical group to make the pore surface hydrophobic (M. Kumar et al, ), and (3) doping the oil with fatty acids and aging the cores overnight to make them mixed‐wet (K. Singh et al, ).…”
Section: Introductionmentioning
confidence: 99%
“…Computational methods include network modeling (Al-Dhahli et al, 2012;Øren et al, 1998;Piri and Blunt, 2005) and more recently explored techniques that perform calculations directly on segmented 3D rock images, such as lattice-Boltzmann methods (Landry et al, 2014;Ramstad et al, 2010), maximal-inscribed-spheres (MIS) methods (Silin et al, 2011), and level set methods (Jettestuen et al, 2013;ProdanoviĂ­c and Bryant, 2006). Among these approaches, network modeling is currently the most developed technique for three-phase flow.…”
Section: Introductionmentioning
confidence: 99%
“…Previously, direct computational techniques were limited to simulating two-phase displacements at uniform wettability. However, the lattice-Boltzmann method was used recently to compute two-phase relative permeability in 3D mixed-wet pore structures (Landry et al, 2014). Further, the variational level set method has emerged as a promising technique to simulate three-phase capillary-dominated displacements directly on 3D segmented rock images under arbitrary, yet uniform wettability (Helland and Jettestuen, 2014).…”
Section: Introductionmentioning
confidence: 99%