Pore-scale lattice Boltzmann simulation of micro-gaseous flow considering surface diffusion effect

Wang, Junjian; Kang, Qinjun; Chen, Li; Rahman, Sheik S.

doi:10.1016/j.coal.2016.11.013

Title: Pore-scale lattice Boltzmann simulation of micro-gaseous flow considering surface diffusion effect

Journal Article · Mon Nov 21 00:00:00 EST 2016 · International Journal of Coal Geology

DOI:https://doi.org/10.1016/j.coal.2016.11.013· OSTI ID:1416302

Wang, Junjian ^[1];

^[2]; Chen, Li ^[3]; Rahman, Sheik S. ^[1]

Univ. of New South Wales, Sydney, NSW (Australia). School of Petroleum Engineering
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Xi'an Jiaotong Univ., Shanxi (China). School of Energy and Power Engineering

Some recent studies have shown that adsorbed gas and its surface diffusion have profound influence on micro-gaseous flow through organic pores in shale gas reservoirs. Here, a multiple-relaxation-time (MRT) LB model is adopted to estimate the apparent permeability of organic shale and a new boundary condition, which combines Langmuir adsorption theory with Maxwellian diffusive reflection boundary condition, is proposed to capture gas slip and surface diffusion of adsorbed gas. The simulation results match well with previous studies carried out using Molecular Dynamics (MD) and show that Maxwell slip boundary condition fails to characterize gas transport in the near wall region under the influence of the adsorbed gas. The total molar flux can be either enhanced or reduced depending on variations in adsorbed gas coverage and surface diffusion velocity. The effects of pore width, pressure as well as Langmuir properties on apparent permeability of methane transport in organic pores are further studied. It is found that the surface transport plays a significant role in determining the apparent permeability, and the variation of apparent permeability with pore size and pressure is affected by the adsorption and surface diffusion.

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Research Organization:: Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

Sponsoring Organization:: USDOE; National Nature Science Foundation of China

Grant/Contract Number:: AC52-06NA25396

OSTI ID:: 1416302

Alternate ID(s):: OSTI ID: 1419373

Report Number(s):: LA-UR-17-27595

Journal Information:: International Journal of Coal Geology, Vol. 169, Issue C; ISSN 0166-5162

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 50 works

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