Standard

Slant f-k transform of multichannel seismic surface wave data. / Serdyukov, Aleksander S.; Yablokov, Aleksander V.; Duchkov, Anton A. и др.

в: Geophysics, Том 84, № 1, 01.01.2019, стр. A19-A24.

Результаты исследований: Научные публикации в периодических изданияхстатьяРецензирование

Harvard

Serdyukov, AS, Yablokov, AV, Duchkov, AA, Azarov, AA & Baranov, VD 2019, 'Slant f-k transform of multichannel seismic surface wave data', Geophysics, Том. 84, № 1, стр. A19-A24. https://doi.org/10.1190/geo2018-0430.1

APA

Serdyukov, A. S., Yablokov, A. V., Duchkov, A. A., Azarov, A. A., & Baranov, V. D. (2019). Slant f-k transform of multichannel seismic surface wave data. Geophysics, 84(1), A19-A24. https://doi.org/10.1190/geo2018-0430.1

Vancouver

Serdyukov AS, Yablokov AV, Duchkov AA, Azarov AA, Baranov VD. Slant f-k transform of multichannel seismic surface wave data. Geophysics. 2019 янв. 1;84(1):A19-A24. doi: 10.1190/geo2018-0430.1

Author

Serdyukov, Aleksander S. ; Yablokov, Aleksander V. ; Duchkov, Anton A. и др. / Slant f-k transform of multichannel seismic surface wave data. в: Geophysics. 2019 ; Том 84, № 1. стр. A19-A24.

BibTeX

@article{e2100edb884c4e49ae8db764059607ff,
title = "Slant f-k transform of multichannel seismic surface wave data",
abstract = "We have addressed the problem of estimating surface-wave phase velocities through the spectral processing of seismic data. This is the key step of the well-known near-surface seismic exploration method, called multichannel analysis of surface waves. To increase the accuracy and ensure the unambiguity of the selection of dispersion curves, we have developed a new version of the frequency-wavenumber (f-k) transform based on the S-transform. We obtain the frequency-time representation of seismic data. We analyze the obtained S-transform frequency-time representation in a slant-stacking manner but use a spatial Fourier transform instead of amplitude stacking. Finally, we build the f-k image by analyzing the spatial spectra for different steering values of the surface-wave group velocities. The time localization of the surface-wave packet at each frequency increases the signal-to-noise ratio because of an exclusion of noise in other time steps (which does not fall in the effective width of the corresponding wavelet). The new f-k transform, i.e., the slant f-k (SFK) transform, renders a better spectral analysis than the conventional f-k transform and yields more accurate phase-velocity estimation, which is critical for the surface-wave analysis. The advantages of the SFK transform have been confirmed by synthetic- and field-data processing.",
keywords = "S-TRANSFORM, STATIC CORRECTIONS, DISPERSIVE ENERGY",
author = "Serdyukov, {Aleksander S.} and Yablokov, {Aleksander V.} and Duchkov, {Anton A.} and Azarov, {Anton A.} and Baranov, {Valery D.}",
year = "2019",
month = jan,
day = "1",
doi = "10.1190/geo2018-0430.1",
language = "English",
volume = "84",
pages = "A19--A24",
journal = "Geophysics",
issn = "0016-8033",
publisher = "SOC EXPLORATION GEOPHYSICISTS",
number = "1",

}

RIS

TY - JOUR

T1 - Slant f-k transform of multichannel seismic surface wave data

AU - Serdyukov, Aleksander S.

AU - Yablokov, Aleksander V.

AU - Duchkov, Anton A.

AU - Azarov, Anton A.

AU - Baranov, Valery D.

PY - 2019/1/1

Y1 - 2019/1/1

N2 - We have addressed the problem of estimating surface-wave phase velocities through the spectral processing of seismic data. This is the key step of the well-known near-surface seismic exploration method, called multichannel analysis of surface waves. To increase the accuracy and ensure the unambiguity of the selection of dispersion curves, we have developed a new version of the frequency-wavenumber (f-k) transform based on the S-transform. We obtain the frequency-time representation of seismic data. We analyze the obtained S-transform frequency-time representation in a slant-stacking manner but use a spatial Fourier transform instead of amplitude stacking. Finally, we build the f-k image by analyzing the spatial spectra for different steering values of the surface-wave group velocities. The time localization of the surface-wave packet at each frequency increases the signal-to-noise ratio because of an exclusion of noise in other time steps (which does not fall in the effective width of the corresponding wavelet). The new f-k transform, i.e., the slant f-k (SFK) transform, renders a better spectral analysis than the conventional f-k transform and yields more accurate phase-velocity estimation, which is critical for the surface-wave analysis. The advantages of the SFK transform have been confirmed by synthetic- and field-data processing.

AB - We have addressed the problem of estimating surface-wave phase velocities through the spectral processing of seismic data. This is the key step of the well-known near-surface seismic exploration method, called multichannel analysis of surface waves. To increase the accuracy and ensure the unambiguity of the selection of dispersion curves, we have developed a new version of the frequency-wavenumber (f-k) transform based on the S-transform. We obtain the frequency-time representation of seismic data. We analyze the obtained S-transform frequency-time representation in a slant-stacking manner but use a spatial Fourier transform instead of amplitude stacking. Finally, we build the f-k image by analyzing the spatial spectra for different steering values of the surface-wave group velocities. The time localization of the surface-wave packet at each frequency increases the signal-to-noise ratio because of an exclusion of noise in other time steps (which does not fall in the effective width of the corresponding wavelet). The new f-k transform, i.e., the slant f-k (SFK) transform, renders a better spectral analysis than the conventional f-k transform and yields more accurate phase-velocity estimation, which is critical for the surface-wave analysis. The advantages of the SFK transform have been confirmed by synthetic- and field-data processing.

KW - S-TRANSFORM

KW - STATIC CORRECTIONS

KW - DISPERSIVE ENERGY

UR - http://www.scopus.com/inward/record.url?scp=85058646106&partnerID=8YFLogxK

U2 - 10.1190/geo2018-0430.1

DO - 10.1190/geo2018-0430.1

M3 - Article

AN - SCOPUS:85058646106

VL - 84

SP - A19-A24

JO - Geophysics

JF - Geophysics

SN - 0016-8033

IS - 1

ER -

ID: 18070502