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| Titel |
Estimation of permeability of a sandstone reservoir by a fractal and Monte Carlo simulation approach: a case study |
| VerfasserIn |
U. Vadapalli, R. P. Srivastava, N. Vedanti, V. P. Dimri |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1023-5809
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| Digitales Dokument |
URL |
| Erschienen |
In: Nonlinear Processes in Geophysics ; 21, no. 1 ; Nr. 21, no. 1 (2014-01-03), S.9-18 |
| Datensatznummer |
250120871
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| Publikation (Nr.) |
 copernicus.org/npg-21-9-2014.pdf |
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| Zusammenfassung |
| Permeability of a hydrocarbon reservoir is usually estimated from core
samples in the laboratory or from well test data provided by the industry.
However, such data is very sparse and as such it takes longer to generate
that. Thus, estimation of permeability directly from available porosity logs
could be an alternative and far easier approach. In this paper, a method of
permeability estimation is proposed for a sandstone reservoir, which
considers fractal behavior of pore size distribution and tortuosity of
capillary pathways to perform Monte Carlo simulations. In this method, we
consider a reservoir to be a mono-dispersed medium to avoid effects of
micro-porosity. The method is applied to porosity logs obtained from
Ankleshwar oil field, situated in the Cambay basin, India, to calculate
permeability distribution in a well. Computed permeability values are in good
agreement with the observed permeability obtained from well test data. We
also studied variation of permeability with different parameters such as
tortuosity fractal dimension (Dt), grain size (r) and minimum
particle size (d0), and found that permeability is highly dependent upon
the grain size. This method will be extremely useful for permeability
estimation, if the average grain size of the reservoir rock is known. |
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