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Updated: Jun 22, 2025

Microfluidic Devices for Characterizing Pore-scale Event Processes in Porous Media for Oil Recovery Applications
Published on: January 16, 2018
Estimating the interfacial permeability for flow into a poroelastic medium.
Zelai Xu1, Pengtao Yue2, James J Feng1,3
1Department of Chemical and Biological Engineering, University of British Columbia, Vancouver, BC V6T 1Z3, Canada. james.feng@ubc.ca.
This study determines interfacial permeability for porous materials, crucial for accurate fluid flow simulations in hydrogels and tissues. It provides a method to evaluate this parameter, enhancing predictive models.
Area of Science:
- Porous Media Physics
- Computational Fluid Dynamics
- Materials Science
Background:
- Modeling fluid flow in porous media is challenging, especially for deformable poroelastic materials like hydrogels.
- Existing interfacial permeability conditions often rely on phenomenological parameters.
- Accurate boundary conditions are essential for reliable simulations of fluid-solid interactions.
Purpose of the Study:
- To determine the interfacial permeability parameter (η) for poroelastic materials.
- To establish a method for evaluating η based on pore-scale characteristics.
- To enable more realistic flow simulations in various poroelastic materials.
Main Methods:
- Developed pore-scale flow models using periodic arrays of solid cylinders or parallel holes.
- Simulated fluid flow through these idealized porous structures.
- Analyzed simulation results to derive the interfacial permeability (η).
Main Results:
- Successfully determined the interfacial permeability (η) as a function of pore size and porosity.
- Provided a quantitative relationship for evaluating η.
- Validated the approach for a range of poroelastic material properties.
Conclusions:
- The study offers a physics-based approach to determine interfacial permeability, moving beyond phenomenological parameters.
- This work enables more accurate and realistic fluid flow simulations in deformable porous media.
- The findings are applicable to hydrogels, foams, and biological tissues, advancing their modeling capabilities.
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