1887
PDF

Abstract

Summary

Carbonate reservoirs are considered extremely complex due to their texture heterogeneity. Using new approaches in Digital Rock Physics (DRP) is possible to compute core plug sample properties and study the heterogeneity from digital image data generated from X-ray computed tomography (CT) scan. Some numerical methods are effective to calculate and analyze these samples properties. However, there is a limitation when the simulations are run at the scale of the whole core plug, especially for fluid flow simulation, due to the large amount of calculation and consequent large computer memory requirement. Therefore, simulations are often done only in subsamples of the core plug. To get the dynamic properties of the whole core plug samples and study their heterogeneity, we propose a combined approach of DRP. Digital imaging processing is used to run digital core models for the calculation of porosity and permeability. The Lattice Boltzmann Method (LBM) is used to simulate fluid flow and calculate the absolute permeability. Experimental measurements are used to compare with simulated results of subsamples which are selected from the whole core plug sample. By comparing and analyzing the results of subsamples, the dynamic properties of the whole core samples are obtained and the heterogeneity is studied.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201414396
2015-11-15
2024-04-19
Loading full text...

Full text loading...

/deliver/fulltext/2214-4609/2015/RP12.html?itemId=/content/papers/10.3997/2214-4609.201414396&mimeType=html&fmt=ahah

References

  1. Kusanagi, H., Watanabe, N., Shimazu, T. et al.
    [2014] X-ray CT Based Numerical Analysis for Fluid Flows through Vuggy Carbonate Cores. The 20th Formation Evaluation Symposium of Japan, October 1–2, 2014.
    [Google Scholar]
  2. Sukop, M.H., Huang, H., Alvarez, P.F. et al.
    [2013] Evaluation of permeability and non-Darcy flow in vuggy macroporous limestone aquifer samples with lattice Boltzmann methods. Water Resour. Res., 49, 216–230.
    [Google Scholar]
  3. Otsu, N.
    [1979] A Threshold Selection Method from Gray-level Histograms. Systems, Man, and Cybernetics Society, 9, 62–66.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201414396
Loading
/content/papers/10.3997/2214-4609.201414396
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