Pore-scale study of rarefied gas flows using low-variance deviational simulation Monte Carlo method

Bosco, Ferdin Don and Zhang, Yonghao (2021) Pore-scale study of rarefied gas flows using low-variance deviational simulation Monte Carlo method. Transport in Porous Media, 138 (1). pp. 25-48. ISSN 0169-3913 (https://doi.org/10.1007/s11242-021-01588-0)

[thumbnail of Don-Bosco-etal-TPM-2021-Pore-scale-study-of-rarefied-gas-flows-using-low-variance-deviational-simulation]
Text. Filename: Don_Bosco_etal_TPM_2021_Pore_scale_study_of_rarefied_gas_flows_using_low_variance_deviational_simulation.pdf
Accepted Author Manuscript

Download (5MB)| Preview


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.