1887

Abstract

Summary

Shale matrix is the main gas storage space, so the development of its Hydro-Mechanical coupling (HM) model is important to macroscopic HM simulation in shale gas reservoir. At microscopic scale, shale matrix is composed of organic and inorganic matter, while the mechanical properties of these two media are quite different, and both gas storage type and transport mechanism are also different in these two media, thus we need to develope different microscale models to describe the HM process in shale matrix. However, microscale models cannot be straightly applied to macro simulation due to their huge calculation cost. In this paper, an efficient upscaling method based on homogenization theory is developed for the HM process in shale matrix, which can accurately represent the microscale characteristics of organic and inorganic matter in macroscale simulations. Firstly, shale matrix is assumed as a heterogeneous poroelastic medium composed of organic and inorganic matter, and according to different storage type and transport mechanism of real gas in these two media, the microscale HM model is developed. Then, the microscale HM model is homogenized to obtained the equivalent macroscopic HM model for shale matrix. Lastly, the accuracy of the proposed method is proved through a numerical examples.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.202010227
2021-10-18
2024-04-27
Loading full text...

Full text loading...

References

  1. Yan, X., Huang, Z., Yao, J., Li, Y., Fan, D., Sun, H., & Zhang, K.
    [2018]. An efficient numerical hybrid model for multiphase flow in deformable fractured shale reservoirs. SPE Journal, 23(04), 1412–1437.
    [Google Scholar]
  2. Mehrabian, A., & Abousleiman, Y. N.
    [2015]. Gassmann equations and the constitutive relations for multiple-porosity and multiple-permeability poroelasticity with applications to oil and gas shale. International Journal for Numerical and Analytical Methods in Geomechanics, 39(14), 1547–1569.
    [Google Scholar]
  3. Song, W., Yao, J., Li, Y., Sun, H., Zhang, L., Yang, Y., Zhao, J., & Sui, H.
    [2016]. Apparent gas permeability in an organic-rich shale reservoir. Fuel, 181, 973–984.
    [Google Scholar]
  4. Auriault, J. L., Boutin, C., & Geindreau, C.
    [2010]. Homogenization of coupled phenomena in heterogenous media (Vol. 149). John Wiley & Sons.
    [Google Scholar]
  5. Darabi, H., Ettehad, A., Javadpour, F., & Sepehrnoori, K.
    [2012]. Gas flow in ultra-tight shale strata. Journal of Fluid Mechanics, 710, 641–658.
    [Google Scholar]
  6. Akkutlu, I. Y., Efendiev, Y., & Savatorova, V.
    [2015]. Multi-scale asymptotic analysis of gas transport in shale matrix. Transport in Porous Media, 107(1), 235–260.
    [Google Scholar]
  7. Talonov, A., & Vasilyeva, M.
    [2016]. On numerical homogenization of shale gas transport. Journal of Computational and Applied Mathematics, 301, 44–52.
    [Google Scholar]
  8. Fan, W., Sun, H., Yao, J., Fan, D., & Yang, Y.
    [2019]. An upscaled transport model for shale gas considering multiple mechanisms and heterogeneity based on homogenization theory. Journal of Petroleum Science and Engineering, 183, 106392.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.202010227
Loading
/content/papers/10.3997/2214-4609.202010227
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