Numerical Simulation of Transport Phenomena in Porous Media

Liou, Meng-Sing; Greber, Isaac

doi:10.2514/6.2005-5277

Cited by 8 publications

(16 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The pressure drops occurring across the porous medium are attributed to several factors, including form drag, viscous drag from bounding wall, and inertia force. The obtained results confirm that the pressure drop is a linear function of flow velocity [1][2][3][9][10][11][12][13][14][15][16][17].…”

Section: Effect Of Flow Velocitysupporting

confidence: 68%

See 1 more Smart Citation

A CFD Simulation on How the Different Sizes of Silica Gel Will Affect the Adsorption Performance of Silica Gel

White

2012

Modelling and Simulation in Engineering

View full text Add to dashboard Cite

The application of computational fluid dynamics (CFD) in the area of porous media and adsorption cooling system is becoming more practical due to the significant improvement in computer power. The results from previous studies have shown that CFD can be useful tool for predicting the water vapour flow pattern, temperature, heat transfer, flow velocity, and adsorption rate. This paper investigates the effect of silica gel granular size on the water adsorption rate using computational fluid dynamics.

show abstract

Section: Effect Of Flow Velocitysupporting

confidence: 68%

“…The bed and packing interiors are defined as boundaries. The wall boundaries separate the fluid zone, vapour, in between the silica gel particles from the wall zones [4,5,[12][13][14].…”

Section: Boundary Conditionsmentioning

confidence: 99%

A CFD Simulation on How the Different Sizes of Silica Gel Will Affect the Adsorption Performance of Silica Gel

White

2012

Modelling and Simulation in Engineering

View full text Add to dashboard Cite

show abstract

“…It is a combined thermal and mechanical three-dimensional simulation analysis that makes the FEM modelling exceedingly expensive from the simulation point of view [3]. Therefore, the thermal contact resistance (TCR) of porous adsorbent must be provided for the software as boundary conditions separately [6,[10][11][12][13][14][15][16][17][18][19][20][21][22].…”

Section: Figure 1 Randomly Porous Packingmentioning

confidence: 99%

“…The second group is the finite volume method (FVM) [10,18]. This simulation technique breakdown the simulation problem into separate conduction pathways the contact region between adsorbent spheres the water vapour layer between porous adsorbent spheres, etc.…”

Section: Figure 1 Randomly Porous Packingmentioning

confidence: 99%

CFD Simulation and Microscopic Study of a Solitary Spherical Porous Adsorbent

White

2016

Preprint

View full text Add to dashboard Cite

Modelling water vapour flow, heat transfer and porosity in porous adsorbent is somewhat challenging simulation problem. Primary macroscopic water vapour flow models, such as Darcy's law, fail to predict the pressure drop entirely correctly for the reason that many of flow parameters not considered because of the simplifications that remain made for the multi-scale structure of the porous adsorbents. For one to develop a good physical understanding of such water vapour flows and the accuracy of existing 3D simulation models, there is a need for some accurate 3D geometry to be studied. This present work describes two-phase water vapour flow and adsorption/ desorption performed on porous adsorbent by a Dynamic vapour sorption (DVS). The CFD simulation results are associated with experiments results. It is decided that for such complex porous adsorbent CFD simulation problems the use of COMSOL Multiphysics and SolidWorks flow simulation will be utilised.

show abstract

“…Complexity of the pore geometry has led to the development of many experimental, theoretical, analytical and numerical methods for studying transport and fluid flow processes in porous media (Sallès et al, 1993;Liou, 2005;Wang et al, 2016;Meakin et al, 2007;Chatzis and Dullien, 2009;Sun et al, 2012a;Raeini et al, 2012;Karadimitriou and Hassanizadeh, 2012;Miyan and Pant, 2015;Andrew et al, 2015;Noetinger et al, 2016). Measurement techniques involving the use of X-ray and neutron scattering, scanning electron microscopy (SEM), transmission electron microscopy (TEM), focused ion beam milling (FIBM), QEMSCAN imaging, nuclear magnetic resonance (NMR) and others are usually expensive and time consuming, with accuracy of obtained data limited by sample preparation methods, experimental setup, conditions and procedures.…”

Section: Introductionmentioning

confidence: 99%

Review of studies on pore-network modeling of wettability effects on waterflood oil recovery

Wopara¹,

Iyuke²

2018

J. Petroleum Gas Eng.

View full text Add to dashboard Cite

Waterflooding has become by far the most widely applied method for enhanced oil recovery, accounting for more than half of oil production worldwide. Changes in the wettability of a porous medium and the chemical composition of the wetting fluid result to changes in oil recovery. In recent time, pore-network modeling has been used increasingly to study the effect of wettability on waterflood oil recovery and multiphase flow properties in different types of petroleum reservoirs. Starting from single pore models of fluid arrangements, computations of relative permeability, interfacial area, mass dissolution rate and many other physical properties have been made. Using realistic representations of the pore spaces of various rock systems, it is now possible to predict many petro-physical properties that govern fluid flow and transport in petroleum reservoir rock systems. Such properties include porosity, permeability, waterflood relative permeability, capillary pressure, phase saturations, and fluid transfer coefficients. This review looks briefly into some of the successes made so far on pore network modeling, with an emphasis on models of wettability trends and oil recovery by waterflooding.

show abstract

Numerical Simulation of Transport Phenomena in Porous Media

Cited by 8 publications

References 16 publications

A CFD Simulation on How the Different Sizes of Silica Gel Will Affect the Adsorption Performance of Silica Gel

A CFD Simulation on How the Different Sizes of Silica Gel Will Affect the Adsorption Performance of Silica Gel

CFD Simulation and Microscopic Study of a Solitary Spherical Porous Adsorbent

Review of studies on pore-network modeling of wettability effects on waterflood oil recovery

Contact Info

Product

Resources

About