Imperial College London
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ProfessorMartinBlunt

Faculty of Engineering, Department of Earth Science & Engineering

Chair in Flow in Porous Media
 
 
 
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Contact

 

+44 (0)20 7594 6500m.blunt Website

 
 
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Location

 

2.38ARoyal School of MinesSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Shams:2017:10.1016/j.jcp.2017.12.027,
author = {Shams, M and Raeini, AQ and Blunt, MJ and Bijeljic, B},
doi = {10.1016/j.jcp.2017.12.027},
journal = {Journal of Computational Physics},
pages = {159--182},
title = {A numerical model of two-phase flow at the micro-scale using the volume-of-fluid method},
url = {http://dx.doi.org/10.1016/j.jcp.2017.12.027},
volume = {357},
year = {2017}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - This study presents a simple and robust numerical scheme to model two-phase flow in porous media where capillary forces dominate over viscous effects. The volume-of-fluid method is employed to capture the fluid-fluid interface whose dynamics is explicitly described based on a finite volume discretization of the Navier–Stokes equations. Interfacial forces are calculated directly on reconstructed interface elements such that the total curvature is preserved. The computed interfacial forces are explicitly added to the Navier–Stokes equations using a sharp formulation which effectively eliminates spurious currents. The stability and accuracy of the implemented scheme is validated on several two- and three-dimensional test cases, which indicate the capability of the method to model two-phase flow processes at the micro-scale. In particular we show how the co-current flow of two viscous fluids leads to greatly enhanced flow conductance for the wetting phase in corners of the pore space, compared to a case where the non-wetting phase is an inviscid gas.
AU  - Shams,M
AU  - Raeini,AQ
AU  - Blunt,MJ
AU  - Bijeljic,B
DO  - 10.1016/j.jcp.2017.12.027
EP  - 182
PY  - 2017///
SN  - 0021-9991
SP  - 159
TI  - A numerical model of two-phase flow at the micro-scale using the volume-of-fluid method
T2  - Journal of Computational Physics
UR  - http://dx.doi.org/10.1016/j.jcp.2017.12.027
UR  - http://hdl.handle.net/10044/1/56019
VL  - 357
ER  -
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