Estimation of the average Rayleigh surface wave dispersion curve from local profile data using passive interferometry method
https://doi.org/10.18303/2619-1563-2025-3-4
Abstract
In this study, the passive interferometry method was applied for the first time in Russia to 60 hours of
continuous seismic recordings acquired along a local seismic profile with a 50-cm receiver spacing. As a result of applying the method, cross-correlation functions of ambient seismic noise were constructed for all receiver pairs. The all constructed crosscorrelations reveal Rayleigh surface waves propagating between the receivers. The new, Stokwell–Bessel transform based method was then applied to these waves to extract the average dispersion curve of the Rayleigh-wave phase velocity. It has proven effective for use in short receiver spacing and short spreads. The successful retrieval of the dispersion curve demonstrates that noise interferometry can be considered as a viable method for engineering seismic surveys.
Supporting agencies: the study was carried out as part of government assignments to the Russian Academy of Sciences in basic research, Projects FSUS-2025-0015 and FWZZ-2022-0017.
About the Authors
Yaroslav M. Berezhnev
Novosibirsk State University
Россия
Россия
Pirogova Str., 1, Novosibirsk, 630090
Nadezhda N. Belovezhets
Novosibirsk State University
Россия
Россия
Pirogova Str., 1, Novosibirsk, 630090
Petr A. Dergach
Novosibirsk State University; Trofimuk Institute of Petroleum Geology and Geophysics, SB RAS
Россия
Россия
Pirogova Str., 1, Novosibirsk, 630090
Koptyug Ave., 3, Novosibirsk, 630090
Alexandr V. Yablokov
Novosibirsk State University; Trofimuk Institute of Petroleum Geology and Geophysics, SB RAS
Россия
Россия
Pirogova Str., 1, Novosibirsk, 630090
Koptyug Ave., 3, Novosibirsk, 630090
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Review
For citations:
Berezhnev Ya.M., Belovezhets N.N., Dergach P.A., Yablokov A.V. Estimation of the average Rayleigh surface wave dispersion curve from local profile data using passive interferometry method. Russian Journal of Geophysical Technologies. 2025;(3):4–11. (In Russ.) https://doi.org/10.18303/2619-1563-2025-3-4
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