CC BY
5This work was supported by the Russian Foundation for Basic Research (grant 19-05-00595).
References
1. Epov M., Mikhaylov I., Glinskikh V., Nikitenko M., Surodina I. Electromagnetic Logging Tool with Toroidal Coils for
the Study of Vertically Inhomogeneous Macroanisotropic Formations // EAGE Annual 2019, Extended Abstracts,
Th_R16_05.
2. Mikhaylov I., Glinskikh V., Nikitenko M., Surodina I. Electromagnetic Sounding with a Toroidal Source in Vertical
and Deviated Oil Wells: Numerical Simulation // EAGE Annual 2020, Extended Abstracts, Fr_E105_11.
Earthquake record processing algorithms to form a strong motion database
V. A. Mironov1,2, S. A. Peretokin2, K. V. Simonov1
1Institute of Computational Modeling SB RAS
2Krasnoyarsk Branch of the Federal Research Center for Information and Computational Technologies
Email: vasya-kun@mail.ru
DOI 10.24412/cl-35065-2021-1-01-09
This study is devoted to the development of algorithms and software for earthquake record processing.
The algorithms are based on the methodology used by the Pacific Earthquake Engineering Research Center for
the implementation of the scientific project NGA-West2 [1]. The purpose of processing is to determine reliable
values of ground acceleration and other parameters of earthquakes from the available records of velocity time
series. To analyze the operation of the algorithms, earthquake records (simultaneously recorded time series of
acceleration and velocity), taken from the European Rapid Raw Strong-Motion database [2], were used. The
developed algorithms and the implemented software will allow in the future to form a database of strong mo-
tions for building regional attenuation models on the territory of the Russian Federation.
References
1. Bozorgnia Yousef et al. NGA-West2 research project // Earthquake Spectra. 2014. V. 30, N. 3. P. 973-987.
2. Carlo Cauzzi, Reinoud Sleeman, John Clinton, Jordi Domingo Ballesta, Odysseus Galanis, Philipp Kastli. Introducing
the European Rapid Raw Strong-Motion Database // Seismological Research Letters. 2016. V. 87 (4). P. 977�986.
Grid method for estimating the velocity characteristic of complex medium
D. L. Pinigina
Novosibirsk State Technical University
Email: daria.pi789@gmail.com
DOI 10.24412/cl-35065-2021-1-02-90
An important problem in solving inverse problems in seismology associated with determining the geo-
graphic and energy characteristics of a seismic source is obtaining a priori information about the propagation
velocities of seismic waves. In heterogeneous media, in particular in the areas of volcanoes and faults, obtain-
ing a velocity pattern is sharply complicated due to the nonlinearity of the travel time curve of seismic waves
[1�3]. The paper proposes an approach to the calculation and assessment of local velocities of seismic P-waves
in the area of the Mount Karabetova mud volcano (the Taman mud volcanic province) based on the use of the
grid method. The numerical algorithm is tested on experimentally obtained arrival times of waves from a vi-
bration source of the SV-10/100 type for the Mount Karabetova mud volcano. Using the approach proposed a
zone of inhomogeneity introduced by the volcano and its approximate geometric dimensions have been iden-
tified. The obtained results of the distribution of local velocities are consistent with the geological structure of
the study area [4] and indicate the prevalence of higher velocities in the area of the anticlinal fold passing
through the volcano zone.
This work was supported by RFBR (grant No. 20-07-00861 �).
References
1. Kovalevskiy V. V. O vozmozhnosti vibroseysmicheskih issledovaniy gryazevyh vulkanov / V. V. Kovalevskiy,
B. M. Glinskiy, M. S. Khairetdinov, D. A. Karavaev // Vestnik NNC RK, Vol. 2, June 2012. P. 55-66. (in Russian).
2. Khairetdinov M. S. Analiz strukturnyh izmeneniy seysmicheskih volnovyh poley v treshchinovatyh i flyui-
donasyshchennyh sredah / M. S. Khairetdinov, G. M. Voskoboynikova, G. F. Seduhina // Vestnik NNC RK, Vol. 2, June
2008. P. 99-104. (in Russian).
3. Sobisevich A. L., Tveritinova T. Yu., Likhodeev D. V., Beloborodov D. E., Dudarov Z. I., Dolov S. M., Presnov D. A. &
Puzich I. N., Deep underground structure of Dzhardzhava mud volcano within south-Kerch anticline structure, Problems of
engineering seismology, vol. 42 / Issue 2, 2015, pp.73-80.
4. Izmenenie okruzhayushchej sredy i klimata prirodnye i svyazannye s nimi tekhnogennye katastrofy: monografiya:
8 V. / Pred. red. kol.: N.P. Laverov. RAN. M.: IFZ RAN, 2008. Vol. 1: Sejsmicheskie processy i katastrofy / Otv. red.
A. O. Gliko. M.: IFZ RAN, Russia, 2008. 404 p. (in Russian).
Resolution of acoustic emission events recovery in core samples
G. V. Reshetova
Institute of Computational Mathematics and Mathematical Geophysics SB RAS
Email: kgv@nmsf.sscc.ru
DOI 10.24412/cl-35065-2021-1-01-10
An approach to localizing the events of acoustic emission by the Time Reversal Mirror (TRM) approach
[1, 2] with the analysis of the total energy of the wave process is proposed. Based on numerical modeling re-
sults, the resolution of the method was investigated depending on the dominant frequency of acoustic emis-
sion signals and the number of recording channels. It was shown that even for frequencies of the order of
250-500 kHz, it is possible to localize acoustic emission events on samples of standard size with a diameter of
30 mm.
This work was funded by RFBR according to the research project 19-01-00347. The research was carried out using
the equipment of the shared research facilities of HPC computing resources at the Joint Supercomputer Center of RAS,
the Siberian Supercomputer Center.
References
1. Fink, M., and Prada, C. Acoustic time-reversal mirrors // Inv. Problems. 2001. V. 17(1). R1-R38.
2. Fink, M. Time-reversal acoustics // J. Phys.: Conf. Ser. 2008. V. 118(1). 012001.
Seismic source recovery in cluttered media by the Time Reversal Mirror approach
G. V. Reshetova1, V. V. Koynov2
1Institute of Computational Mathematics and Mathematical Geophysics SB RAS
2Novosibirsk State University
Email: kgv@nmsf.sscc.ru
DOI 10.24412/cl-35065-2021-1-01-11
The problem of detecting and localizing objects embedded in some randomly inhomogeneous medium
arises in many important applications, such as ultrasound medical imaging [1], non-destructive testing of ma-
terials [2], seismic inversion, etc.
