Statistical modeling of discrete structure networks using seismic images
Numerical methods and programming, Tome 19 (2018) no. 3, pp. 270-281.

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This paper is devoted to modeling of fractured reservoirs. A three-dimensional statistical model of a discrete fracture network is developed. An efficient method to generate the random realizations of the statistical model for an arbitrary computational grid is proposed. The problem of scaling the fracture model using the analysis of seismic images for different grid steps is solved.
Keywords: discrete fracture network, statistical modeling, seismic images.
@article{VMP_2018_19_3_a7,
     author = {D. R. Kolyukhin and M. I. Protasov},
     title = {Statistical modeling of discrete structure networks using seismic images},
     journal = {Numerical methods and programming},
     pages = {270--281},
     publisher = {mathdoc},
     volume = {19},
     number = {3},
     year = {2018},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/VMP_2018_19_3_a7/}
}
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D. R. Kolyukhin; M. I. Protasov. Statistical modeling of discrete structure networks using seismic images. Numerical methods and programming, Tome 19 (2018) no. 3, pp. 270-281. http://geodesic.mathdoc.fr/item/VMP_2018_19_3_a7/