Statistical modeling of discrete fracture networks using seismic images

Authors

DOI:

https://doi.org/10.26089/NumMet.v19r326

Keywords:

discrete fracture network, statistical modeling, seismic images

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.

Author Biographies

D.R. Kolyukhin

Trofimuk Institute of Petroleum Geology and Geophysics of SB RAS
• Senior Researcher

M.I. Protasov

Trofimuk Institute of Petroleum Geology and Geophysics of SB RAS
• Senior Researcher

References

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New computational technologies

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Published

26-12-2018

How to Cite

Колюхин Д., Протасов М. Statistical Modeling of Discrete Fracture Networks Using Seismic Images // Numerical Methods and Programming (Vychislitel’nye Metody i Programmirovanie). 2018. 19. 270-281. doi 10.26089/NumMet.v19r326

Issue

Vol. 19 (2018): Issue 3.

Section

Section 1. Numerical methods and applications