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Testing processing algorithms for seismic data from laboratory modeling

https://doi.org/10.18303/2619-1563-2022-2-107

Abstract

In this paper, we consider an example of obtaining data similar to seismic surveys in the process of conducting physical modeling. It is shown that the features of the data are close to those observed in a real experiment. This is proof of the possibility of testing the processing methods used in the practice of seismic exploration on the data of laboratory modeling of seismic surveys. In particular, the application of a certain set of processing procedures for the considered data related to the simulated environmental object showed that the resulting time sections contain all the inherent structural features of the model.

About the Authors

T. A. Petrochenko
Novosibirsk State Technical University
K. Marks Ave., 20, Novosibirsk, 630073
Russian Federation


A. Yu. Zadoev
http://www.ipgg.sbras.ru/ru/institute/staff/zadoevay
Trofimuk Institute of Petroleum Geology and Geophysics SB RAS
Koptyug Ave., 3, Novosibirsk, 630090

Novosibirsk State University
Pirogova Str., 1, Novosibirsk, 630090
Russian Federation


A. A. Duchkov
http://www.ipgg.sbras.ru/ru/institute/staff/duchkovaa
Trofimuk Institute of Petroleum Geology and Geophysics SB RAS
Koptyug Ave., 3, Novosibirsk, 630090

Novosibirsk State University
Pirogova Str., 1, Novosibirsk, 630090

Novosibirsk State Technical University
K. Marks Ave., 20, Novosibirsk, 630073
Russian Federation


G. M. Mitrofanov
http://www.ipgg.sbras.ru/ru/institute/staff/mitrofanovgm
Trofimuk Institute of Petroleum Geology and Geophysics SB RAS
Koptyug Ave., 3, Novosibirsk, 630090

Novosibirsk State University
Pirogova Str., 1, Novosibirsk, 630090

Novosibirsk State Technical University
K. Marks Ave., 20, Novosibirsk, 630073
Russian Federation


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Review

For citations:


Petrochenko T.A., Zadoev A.Yu., Duchkov A.A., Mitrofanov G.M. Testing processing algorithms for seismic data from laboratory modeling. Russian Journal of Geophysical Technologies. 2022;(2):107-117. (In Russ.) https://doi.org/10.18303/2619-1563-2022-2-107

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ISSN 2619-1563 (Online)