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Numerical methods and programming, 2018, Volume 19, Issue 3, Pages 270–281 (Mi vmp919)  

Statistical modeling of discrete structure networks using seismic images

D. R. Kolyukhin, M. I. Protasov

A. A. Trofimuk Institute of Petroleum Geology and Geophysics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk
Abstract: 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.
Received: 26.04.2018
UDC: 550.347.097
Language: Russian
Citation: D. R. Kolyukhin, M. I. Protasov, “Statistical modeling of discrete structure networks using seismic images”, Num. Meth. Prog., 19:3 (2018), 270–281
Citation in format AMSBIB
\Bibitem{KolPro18}
\by D.~R.~Kolyukhin, M.~I.~Protasov
\paper Statistical modeling of discrete structure networks using seismic images
\jour Num. Meth. Prog.
\yr 2018
\vol 19
\issue 3
\pages 270--281
\mathnet{http://mi.mathnet.ru/vmp919}
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  • https://www.mathnet.ru/eng/vmp/v19/i3/p270
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