Correlation analysis of statistical facies fault models
- Authors: Vishnevsky D.M.1, Kolyukhin D.R.1, Lisitsa V.V.1, Protasov M.I.1, Reshetova G.V.2,3, Tcheverda V.A.1,3, Qu D.4,5, Tveranger J.4,5
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Affiliations:
- Trofimuk Institute of Petroleum Geology and Geophysics, Siberian Branch
- Institute of Computational Mathematics and Mathematical Geophysics, Siberian Branch
- Kazakh-British Technical University
- Uni Research CIPR
- Department of Earth Science
- Issue: Vol 473, No 2 (2017)
- Pages: 477-481
- Section: Geophysics
- URL: https://ogarev-online.ru/1028-334X/article/view/189774
- DOI: https://doi.org/10.1134/S1028334X17040249
- ID: 189774
Cite item
Abstract
This paper addresses seismic imaging of fault zones and analysis of the seismic data with the use of the fault facies model developed at Uni Research CIPR. Simulated and ideal seismic images were produced to generate a statistical ensemble of realizations of this model. The comparative analysis presented in this paper is focused on the statistical characteristics of the initial geological model and its seismic images. This paper analyzes cross-correlations between seismic images and ideal seismic images. The method proposed makes it possible to establish an exact correspondence between the initial fault facies models and the seismic images of these models.
About the authors
D. M. Vishnevsky
Trofimuk Institute of Petroleum Geology and Geophysics, Siberian Branch
Author for correspondence.
Email: VishnevskyDM@ipgg.sbras.ru
Russian Federation, Novosibirsk, 630090
D. R. Kolyukhin
Trofimuk Institute of Petroleum Geology and Geophysics, Siberian Branch
Email: VishnevskyDM@ipgg.sbras.ru
Russian Federation, Novosibirsk, 630090
V. V. Lisitsa
Trofimuk Institute of Petroleum Geology and Geophysics, Siberian Branch
Email: VishnevskyDM@ipgg.sbras.ru
Russian Federation, Novosibirsk, 630090
M. I. Protasov
Trofimuk Institute of Petroleum Geology and Geophysics, Siberian Branch
Email: VishnevskyDM@ipgg.sbras.ru
Russian Federation, Novosibirsk, 630090
G. V. Reshetova
Institute of Computational Mathematics and Mathematical Geophysics, Siberian Branch; Kazakh-British Technical University
Email: VishnevskyDM@ipgg.sbras.ru
Russian Federation, pr. Akad. Lavrentieva 6, Novosibirsk, 630090; Almaty, 050000
V. A. Tcheverda
Trofimuk Institute of Petroleum Geology and Geophysics, Siberian Branch; Kazakh-British Technical University
Email: VishnevskyDM@ipgg.sbras.ru
Russian Federation, Novosibirsk, 630090; Almaty, 050000
D. Qu
Uni Research CIPR; Department of Earth Science
Email: VishnevskyDM@ipgg.sbras.ru
Norway, Bergen, 5020; Bergen, N-5007
J. Tveranger
Uni Research CIPR; Department of Earth Science
Email: VishnevskyDM@ipgg.sbras.ru
Norway, Bergen, 5020; Bergen, N-5007
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