engleski

Coupling reservoir permeability with granulometric heterogeneity using programming language R

The purpose of this study is to improve the permeability correlations, which mostly do not account for the effects of sorting. With an assumption that grain size distribution is connected with pore size distribution, statistical analysis of grain size, porosity and permeability was done. While there are published methods to estimate the grain size standard deviation and geometric mean from usually used uneven sieve mesh sizes, those parameters were obtained by statistical resampling method. Further distribution parameters (and types) were tested in statistical programming language R. Modified correlation for estimating permeability based on grain size is compared with published empirical correlations and gives the most satisfying results. Considering that the distribution type affects the correlation, further correlation modifications and improvements are proposed.

grain size distribution ; permeability correlation ; granulometric heterogeneity ; programming language R

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