4.4 Article

Pore-Scale Study of Rarefied Gas Flows Using Low-Variance Deviational Simulation Monte Carlo Method

Journal

TRANSPORT IN POROUS MEDIA
Volume 138, Issue 1, Pages 25-48

Publisher

SPRINGER
DOI: 10.1007/s11242-021-01588-0

Keywords

Rarefied flow; Knudsen diffusion; Low-variance deviational simulation Monte Carlo method; Porous media; Pore-scale simulation

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The study explores the rarefied gas flow in ultra-tight porous media, such as shale and high-performance insulation materials, and proposes a novel particle-based solution using the variance-reduced Boltzmann-BGK equation. By developing a parallel solver based on the low variance deviational simulation Monte Carlo method for 3D flows, the research enables pore-scale simulations and provides additional insights into the multi-scale nature of the flow and surface/gas interactions. The computational efficiency and accuracy of the new solver make it a powerful simulation tool for quantifying flow properties of ultra-tight porous media.
Gaseous flow through ultra-tight porous media, e.g. shale and some high-performance insulation materials, is often rarefied, invalidating an analysis by the continuum flow theory. Such rarefied flows can be accurately described by the kinetic theory of gases which utilizes the Boltzmann equation and its simplified kinetic models. While discrete velocity methods have been successful in directly solving these equations, the immense potential of a particle-based solution of the variance-reduced Boltzmann-BGK (Bhatnagar-Gross-Krook) equation for rarefied flows in porous media has not been exploited yet. Here, a parallel solver based on the low variance deviational simulation Monte Carlo method is developed for 3D flows, which enables pore-scale simulations using digital images of porous media samples. The unique advantage of this particle-based formulation is in providing additional insights regarding the multi-scale nature of the flow and surface/gas interactions via two new parameters, i.e. pore and surface activity, respectively. Together, these two parameters can identify key flow properties of the porous media. The computational efficiency and accuracy of the current method has also been analysed, suggesting that this new solver is a powerful simulation tool to quantify flow properties of ultra-tight porous media.

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