1887

Abstract

Summary

Digital rock images may capture more detailed pore structure than the traditional laboratory methods. No explicit function can correlate permeability accurately for flow within the pore space. This has motivated researchers to predict permeability through the application of numerical techniques, e.g., finite difference method (FDM). However, in order to get better permeability calculation results, the grid refinement was needed for the traditional FDM. And the accuracy of this method decreased in pores with elongated cross sections. The goal of this study is to develop a new FDM to calculated the permeabilities of digital rocks with complex pore space. An elliptical pore approximation method is invoked to describe the complex pore space. The permeabilities of the digital rock images after grid coarsening are calculated by the new FDM in three orthogonal directions. These results are compared with the previously validated lattice-Boltzmann method (LBM), which indicates that the predicted permeabilities calculated by the new FDM usually agree with permeabilities calculated by LBM. We conclude that the presented new FDM is suitable for complex pore space.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.202112689
2021-10-18
2024-04-18
Loading full text...

Full text loading...

References

  1. Cai, J., Perfect, E., Cheng, C.-L., Hu, X.
    , 2014. Generalized modeling of spontaneous imbibition based on Hagen-Poiseuille flow in tortuous capillaries with variably shaped apertures. Langmuir, 30(18): 5142–5151.
    [Google Scholar]
  2. Chu, C.F., Ng, K.M.
    , 1989. Flow in packed tubes with a small tube to particle diameter ratio. AIChE journal, 35(1): 148–158.
    [Google Scholar]
  3. Dong, H.
    , 2007. Micro-CT imaging and pore network extraction, Department of Earth Science and Engineering, Imperial College London.
    [Google Scholar]
  4. Shabro, V., Torres-Verdin, C., Javadpour, F., Sepehrnoori, K.
    , 2012. Finite-difference approximation for fluid-flow simulation and calculation of permeability in porous media. Transport in porous media, 94(3): 775–793.
    [Google Scholar]
  5. Wei, S., Shen, J., Yang, W., Li, Z., Di, S., Ma, C.
    , 2019. Application of the renormalization group approach for permeability estimation in digital rocks. Journal of Petroleum Science and Engineering, 179: 631–644.
    [Google Scholar]
  6. White, F.M.
    , 1991. Viscous fluid flow, Second Edition. McGraw Hill, United States of America.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.202112689
Loading
/content/papers/10.3997/2214-4609.202112689
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error