Research on Numerical Simulation of Gas Flow in Shale Matrix Micro Pore

Article Preview

Abstract:

In view of Longmaxi shale core in Sichuan basin, two-dimensional images of shale core were given by using scanning electron microscopy (SEM), and processed by ImageJ software to reconstruct the 3D shale matrix digital core, the digital core can reflect the nano pore structure more accurately. LBM model of gas flow in shale porous medium is established based on lattice Boltzmann method. The corresponding boundary conditions were established based on slip phenomenon for shale gas in porous medium micro flow, which can simulate gas flow in the micro pore in shale more realistic. The numerical results show that the microscale effect becomes obvious with the increase of Knudsen number, and the more obvious the non-Darcy phenomenon of gas flow in the shale matrix. The research results of this paper provide a theoretical basis for shale matrix permeability calculation, shale gas well productivity evaluation and development scheme design.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

73-78

Citation:

Online since:

October 2018

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2018 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Z. F. Li, Z. P. Li, Comparison and analysis of permeability testing methods on shale gas reservoir. Fault-Blockoil & Gasfield, 18(6) (2011) 762-764.

Google Scholar

[2] L. C. Zhao, S. S. Wang. Research progress in permeability measurement method of shale gas reservoir. Fault-Blockoil & Gasfield, 20(6) (2013) 763-767.

Google Scholar

[3] Y. Ma. The application of focused ion beam scanning electron microscope (FIB-SEM) to the nanometer-sized pores in shales. J. Chinese Electr. Microscop. Soc. 33(33) (2014) 251-256.

Google Scholar

[4] F. Huang. Three dimensional reconstruction and simulation of porous media. Univ. Sci. Tech. China, (2007).

Google Scholar

[5] G. L. Yan. Research on reservoir permeability model based on digital core. China University of Petroleum, (2013).

Google Scholar

[6] X. C. Zhao. Research on digital core and reconstruction method of pore network model. China University of Petroleum, (2009).

Google Scholar

[7] X. Nie. Study on modeling of digital core in shale gas reservoir and numerical simulation of conductivity. China University of Geosciences, (2014).

Google Scholar

[8] G. L. Yan. Research on permeability model of digital core reservoir, China University of Petroleum, (2013).

Google Scholar

[9] L. Z. Guo, C. G. Zheng. The principle and application of the lattice Boltzmann method. Beijing: Science Press, (2008).

Google Scholar