Introduction to special section on Modeling of Pore‐Scale Processes

Dijke, Marinus Izaak Jan Van; Piri, Mohammad

doi:10.1029/2007wr006332

Cited by 5 publications

(5 citation statements)

References 18 publications

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“…With regard to the use of void network models in relating water retention curves to void sizes and hydraulic conductivities, van Dijke and Piri [2007] comment that the goals have changed little in the last 60 years. A particular problem with applying such models to soil is the simplicity of a network of, for example, pores connected by cylindrical “throats” relative to the extreme complexity of the structure of soil.…”

Section: Introductionmentioning

confidence: 99%

Measurement and simulation of the effect of compaction on the pore structure and saturated hydraulic conductivity of grassland and arable soil

Matthews

Laudone

Gregory

et al. 2010

Water Resources Research

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[1] Measurements have been made of the effect of compaction on water retention, saturated hydraulic conductivity, and porosity of two English soils: North Wyke (NW) grassland clay topsoil and Broadbalk silty topsoil, fertilized inorganically (PKMg) or with farmyard manure (FYM). As expected, the FYM topsoil had greater porosity and greater water retention than PKMg topsoil, and the NW clay topsoil retained more water at each matric potential than the silty topsoils. Compaction had a clear effect on water retention at matric potentials wetter than −10 kPa for the PKMg and FYM soils, corresponding to voids greater than 30 mm cylindrical diameter, whereas smaller voids appeared to be unaffected. The Pore-Cor void network model has been improved by including a Euler beta distribution to describe the sizes of the narrow interconnections, termed throats. The model revealed a change from bimodal to unimodal throat size distributions on compaction, as well as a reduction in sizes overall. It also matched the water retention curves more closely than van Genuchten fits and correctly predicted changes in saturated hydraulic conductivity better than those predicted by a prior statistical approach. However, the changes in hydraulic conductivity were masked by the stochastic variability of the model. Also, an artifact of the model, namely its inability to pack small features close together, caused incorrect increases in pore sizes on compaction. These deficiencies in the model demonstrate the need for an explicitly dual porous network model to account for the effects of compaction in soil.

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Section: Introductionmentioning

confidence: 99%

Measurement and simulation of the effect of compaction on the pore structure and saturated hydraulic conductivity of grassland and arable soil

Matthews

Laudone

Gregory

et al. 2010

Water Resources Research

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“…Early numerical modeling of pore-scale flows tended to address the cumulative Stoke's drag on periodic arrays of idealized obstacles (viz. permeability of arrays [3]), and only recently advances in computational technology and in visualization of actual pore spaces have enabled progress with pore-scale simulation of percolating flows [4]. While the leading trend still is to simulate pore-scale transport with heavily reduced fluid equations, the harbingers of Navier-Stokes DNS [5][6][7] have already demonstrated the potential of virtual experiments for complementing laboratory studies.…”

Section: Introductionmentioning

confidence: 99%

Pores resolving simulation of Darcy flows

Smolarkiewicz

Winter

2010

Journal of Computational Physics

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“…This observation can be explained by the higher proportion of glass beads (water-wet surfaces) compared to acrylic beads (oil-wet surfaces), given that water will remain trapped in the pendular rings around the water-wet grain contacts. Interesting analogies from natural systems can be found in Tiab and Donaldson (2004), Sahimi (1995) and Kumar et al (2008), whereby water blobs formed from the presaturation of brine, as the small water-wet pores are spontaneously imbibed by water due to capillary suction. Figure 4 shows the cumulative volume percent of each oil blob group to the total residual oil trapped in the pore space and each water blob group to the total residual water trapped in the pore space.…”

Section: Fluid Phase Distributionmentioning

confidence: 99%

“…The results showed that less oil was recovered after a water injection as the system became more oil-wet. Moreover, according to Morrow Norman and Geoffrey (2001) an infinite number of possible wetting states exist between the strongly waterwet and the strongly oil-wet, and similarly there are many varied flow behaviors Tiab and Donaldson (2004). Understanding the effect of wettability on fluid recovery requires information pertaining to pore-scale fluid distribution, wetting preferences, and pore geometry Kumar (2008).…”

Section: Introductionmentioning

confidence: 99%

“…However, given the difficulty of obtaining direct pore-scale measurements, pore-level models have been used to predict both flow properties and transport mechanisms. These include: network models, designed as simplified representations of a pore system consisting of pore bodies and pore throats; Lattice-Boltzmann models (LB), used to calculate single-phase and two-phase flow patterns van Dijke and Piri (2007); and mesh-free Lagrangian particle methods, such as smooth particle hydrodynamics numerical models (SPH), developed to simulate multicomponent immiscible and miscible flow in porous media Tartakovsky and Meakin (2006).…”

Section: Introductionmentioning

confidence: 99%

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Experimental investigation of residual saturation in mixed-wet porous media using a pore-scale approach

Larpudomlert

Torrealba

Karpyn

et al. 2013

J Petrol Explor Prod Technol

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Wettability is an important factor in terms of flow distribution and the amount of oil left behind in a petroleum reservoir after primary, secondary, and tertiary recovery processes. In fact, most alkaline flooding operations are aimed at wettability reversal. Therefore, a good understanding of how wettability, and other relevant factors (e.g., fluid saturation and porosity), affects displacement efficiency and fluid distribution at the pore-scale can lead to successful predictions of flow properties at the macroscale. In this study, pore-scale two-phase fluid flow in a synthetic mixed-wet granular media was investigated using X-ray microCT. Analysis of residual fluid structures in granular media composed of a mixture of glass and plastic beads (ranging from 0.4 to 0.6 mm in diameter) showed that the number of trapped water blobs was 2.4 times greater than that of oil, whereas most of the blobs were between 0.0001 and 0.001 mm 3 in size (i.e., 100 times smaller than in the case of uniform wettability), and were smaller than the mean pore volume (0.03 mm 3 ). The ratio of surface area to blob volume showed a slight tendency of water blobs to wet a higher surface area of the grains than oil blobs, for blob volumes larger than the mean pore size; this phenomenon can be attributed to stronger wetting affinity of the glass grains to the water phase than that of the plastic grains to the oil phase. Furthermore, statistical analysis of the distance between residual oil and water blobs to each solid surface confirms preferential wetting affinity of oil and water to plastic and glass surfaces, respectively.

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Introduction to special section on Modeling of Pore‐Scale Processes

Cited by 5 publications

References 18 publications

Measurement and simulation of the effect of compaction on the pore structure and saturated hydraulic conductivity of grassland and arable soil

Measurement and simulation of the effect of compaction on the pore structure and saturated hydraulic conductivity of grassland and arable soil

Pores resolving simulation of Darcy flows

Experimental investigation of residual saturation in mixed-wet porous media using a pore-scale approach

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