1887

Abstract

Summary

Application of imaging technology assists careful analysis of petrophysical properties without the need to destroy sample. In this paper, methods of medical and dental CT-scans are applied for porosity determination in 20 core samples from Persian Gulf coastal zone, Zagros basin and compared with routine porosity measurement. The core samples were salt, sandstone, marl, calcite-carbonate and dolomite-carbonate collected from Gachsaran, Aghajari, Dalan, Asmari and Kangan formations in Zagros basin. Digital rock images were obtained using dental CT scan with a resolution of 200 pixel per μm and medical CT scan with a resolution of 100 pixel per μm. For analysis of dental and medical CT scans, OnDemand3D and PACSPLUS CD Viewer softwares were used respectively. In addition to dental and medical methods, average porosity was determined using nitrogen porosimeter and compared with imaging measurements. Results showed that average porosity obtained from laboratory method is in good agreement with two other methods. The results of this study illustrate that the use of dental CT-scan is superior to measure the petrophysical properties of porous rocks. CT-scan method responded well for sandstone and calcite-carbonate rocks, but not good enough to evaluate dolomite-carbonate, marl and salt rocks.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201800863
2018-06-11
2024-03-29
Loading full text...

Full text loading...

References

  1. A.Aghaei and M.Piri
    , “Direct pore-to-core up-scaling of displacement processes: Dynamic pore network modeling and experimentation,” Journal of Hydrology, vol. 522, pp. 488–509, 2015.
    [Google Scholar]
  2. R. A.Johns, J. S.Steude, L. M.Castanier, and P. V.Roberts
    , “Nondestructive measurements of fracture aperture in crystalline rock cores using X ray computed tomography,” Journal of Geophysical Research: Solid Earth, vol. 98, pp. 1889–1900, 1993.
    [Google Scholar]
  3. X.Boespflug, B.Long, and S.Occhietti
    , “CAT-scan in marine stratigraphy: a quantitative approach,” Marine Geology, vol. 122, pp. 281–301, 1995
    [Google Scholar]
  4. D.Fabre, F.Mazerolle, and S.Raynaud
    , “Caractérisation tomodensitométrique de la porosité et de la fissuration de roches sédimentaires,” Rock at Great Depth, Balkema, Rotterdam, vol. 297, p. 304, 1989.
    [Google Scholar]
  5. T. H.Orsi, C. M.Edwards, and A. L.Anderson
    , “X-Ray Computed Tomography: A Nondestructive Method for Quantitative Analysis of Sediment Cores: RESEARCH METHOD PAPER,” Journal of Sedimentary Research, vol. 64, 1994.
    [Google Scholar]
  6. S.Raynaud, D.Fabre, F.Mazerolle, Y.Geraud, and H. J.Latière
    , “Analysis of the internal structure of rocks and characterization of mechanical deformation by a non-destructive method: X-ray tomodensitometry,” Tectonophysics, vol. 159, pp. 149–159, 1989.
    [Google Scholar]
  7. R.Swennen, B.Poot, and G.Marchal
    , “Computerized tomography as a tool in reservoir characterization,” Zbl. Geol. Palaont Teil I, pp. 1105–1124, 1990.
    [Google Scholar]
  8. F.Verhelst, P.David, W.Fermont, L.Jegers, and A.Vervoort
    , “Correlation of 3D-computerized tomographic scans and 2D-colour image analysis of Westphalian coal by means of multivariate statistics,” International journal of coal geology, vol. 29, pp. 1–21, 1996.
    [Google Scholar]
  9. S. L.Wellington and H. J.Vinegar
    , “X-ray computerized tomography,” Journal of Petroleum Technology, vol. 39, pp. 885–898, 1987.
    [Google Scholar]
  10. R. A.Ketcham and W. D.Carlson
    , “Acquisition, optimization and interpretation of X-ray computed tomographic imagery: applications to the geosciences,” Computers & Geosciences, vol. 27, pp. 381–400, 2001.
    [Google Scholar]
  11. M.Van Geet, R.Swennen, and M.Wevers
    , “Quantitative analysis of reservoir rocks by microfocus X-ray computerised tomography,” Sedimentary Geology, vol. 132, pp. 25–36, 2000.
    [Google Scholar]
  12. H.Taud, R.Martinez-Angeles, J.Parrot, and L.Hernandez-Escobedo
    , “Porosity estimation method by X-ray computed tomography,” Journal of petroleum science and engineering, vol. 47, pp. 209–217, 2005.
    [Google Scholar]
  13. S.Shah, J.Yang, J. P.Crawshaw, O.Gharbi, and E. S.Boek
    , “Predicting porosity and permeability of carbonate rocks from core-scale to pore-scale using medical CT, confocal laser scanning microscopy and micro CT,” in SPE Annual Technical Conference and Exhibition, 2013.
    [Google Scholar]
  14. J. T.Skinner, F. D.Tovar, and D. S.Schechter
    , “Computed Tomography for Petrophysical Characterization of Highly Heterogeneous Reservoir Rock,” in SPE Latin American and Caribbean Petroleum Engineering Conference., 2015.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201800863
Loading
/content/papers/10.3997/2214-4609.201800863
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