4.7 Article

Multiscale transport mechanism of shale gas in micro/nano-pores

期刊

INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
卷 111, 期 -, 页码 1172-1180

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ijheatmasstransfer.2017.04.050

关键词

Shale gas; Lattice Boltzmann method; Multiscale transport mechanism; Adsorption effect; Apparent permeability

资金

  1. National Natural Science Foundation of China [11525211, 11472263, 11572307]
  2. CNPC-CAS Strategic Cooperation Research Program [2015A-4812]
  3. Strategic Priority Research Program of the Chinese Academy of Sciences [XDB22040402]

向作者/读者索取更多资源

A better understanding on the multiscale transport of shale gas will further the advancement of shale gas extraction. Traditional lattice Boltzmann method (LBM) simulations usually underestimate the shale gas transport capacity due to the missed consideration of gas adsorption in nanometer-sized slit pores. Here, we proposed a multiscale LB model considering the adsorption effect to simulate the shale gas transport in micro/nano-pores. The adsorption parameters between organic wall and gas molecules were determined by molecular dynamics (MD) simulations. Multiscale transport mechanism of shale gas in micro/nano slit pores ranging from nanometer to millimeter was studied by, including three different flow characteristics, namely, viscous flow, slippage, and surface diffusion. In microscale pores (pore width H > 1 mu m), viscous flow is the dominated transport mechanism, where the velocity profile displays a typical parabolic shape without slip velocity. In larger nanoscale pores (10 nm < 1 mu m), slip velocity is no longer zero and increases as pore width decreases. The gas transport is dominated by viscous flow and slippage. In smaller nanometer-scale pores (H < 10 nm), relatively more gas molecules are adsorbed on organic pore wall, resulting in non-negligible surface diffusion which can increase the mass flux by as much as one order of magnitude. Moreover, apparent permeability obtained from our LBM simulations was compared with previous theoretical models, demonstrating the accuracy of the second-order relationship between the correlation factor and the Knudsen number. (C) 2017 Elsevier Ltd. All rights reserved.

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