Multiscale Filtration with Nanoconfined Phase Behavior
Analysis
This paper addresses the challenge of simulating fluid flow in complex porous media by integrating nanoscale phenomena (capillary condensation) into a Pore Network Modeling framework. The use of Density Functional Theory (DFT) to model capillary condensation and its impact on permeability is a key contribution. The study's focus on the influence of pore geometry and thermodynamic conditions on permeability provides valuable insights for upscaling techniques.
Key Takeaways
- •Introduces a multiscale filtration framework based on Pore Network Modeling.
- •Incorporates capillary condensation effects using Density Functional Theory (DFT).
- •Highlights the impact of pore geometry and thermodynamic conditions on permeability.
- •Contributes to the advancement of upscaling techniques.
“The resulting permeability is strongly dependent on the geometry of porous space, including pore size distribution, sample size, and the particular structure of the sample, along with thermodynamic conditions and processes, specifically, pressure growth or reduction.”