1887

Abstract

Summary

In sandy reservoirs, selecting a representative elementary volume (REV) for the pore scale, is essential for predictive upscaling toward the reservoir scale. The porosity and tortuosity of a sand media are used for REV selection. The profile and size of sand grains, forms the voids morphology; as a result, hypothetically the grains size distribution can provide an indication to whether a volume size is representative of the media. Linking voids based characteristics such as tortuosity and porosity, to their solids counterparts like grains distribution; can help in standardizing REVs for rocks and sands. The aim of the study is to use grains size, uniformity coefficient and conformity coefficient; for categorizing the REV of porosity and tortuosity. Synchrotron X-ray micro-computed tomography of 15 unconsolidated sand system was studied. In order to determine the minimum REV of porosity and tortuosity, 20 sub-volumes for each system was generated. Micro tomography was shown to be an effective tool in measuring sand grains and voids space characteristics. REV analysis showed that a bigger size for porosity was always required compared to that of tortuosity. Categorizing sand systems based on the uniformity and conformity indices, was shown to be ineffective for the purpose of REV selection.

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/content/papers/10.3997/2214-4609.201903137
2019-11-18
2024-04-20
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References

  1. Al-Raoush, R.
    [2012]. Change in microstructure parameters of porous media over representative elementary volume for porosity. Particulate Science and Technology, 30(1), 1–16. https://doi.org/10.1080/02726351.2010.543262
    [Google Scholar]
  2. Al-Raoush, R. I., and Madhoun, I. T.
    [2017]. TORT3D: A MATLAB code to compute geometric tortuosity from 3D images of unconsolidated porous media. Powder Technology, 320, 99–107. https://doi.org/10.1016/j.powtec.2017.06.066
    [Google Scholar]
  3. Ammouche, A., Breysse, D., Hornain, H., Didry, O., and Marchand, J.
    [2000]. New image analysis technique for the quantitative assessment of microcracks in cement-based materials. Cement and Concrete Research, 30(1), 25–35. https://doi.org/10.1016/S0008-8846(99)00212-4
    [Google Scholar]
  4. Coster, M., and Chermant, J.
    [1989]. Précis d’analyse d’images. Retrieved from https://infoscience.epfl.ch/record/51483
    [Google Scholar]
  5. Ghanbarian, B., Hunt, A. G., Ewing, R. P., and Sahimi, M.
    [2013, September]. Tortuosity in porous media: A critical review. Soil Science Society of America Journal, Vol. 77, pp. 1461–1477. https://doi.org/10.2136/sssaj2012.0435
    [Google Scholar]
  6. Jarrar, Z. A., Al-Raoush, R. I., Hannun, J. A., Alshibli, K. A., and Jung, J.
    [2018]. 3D synchrotron computed tomography study on the influence of fines on gas driven fractures in Sandy Sediments. Geomechanics for Energy and the Environment, (xxxx), 1–10. https://doi.org/10.1016/j.gete.2018.11.001
    [Google Scholar]
  7. Scriven, L. E.
    [1994]. Porous media: Geometry and transport by Pierre M. Adler, butterworthheinemann, stoneham, ma, 1992, 544 pp. AIChE Journal, 40(2), 380–381. https://doi.org/10.1002/aic.690400220
    [Google Scholar]
  8. Wang, W.
    [2006]. Image analysis of particles by modified Ferret method - best-fit rectangle. Powder Technology, 165(1), 1–10. https://doi.org/10.1016/j.powtec.2006.03.017
    [Google Scholar]
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