Standard

Waveform inversion of surface waves in f-k domain in locally 1D formulation. / Silvestrov, I.; Gadylshin, K.; Neklyudov, D. и др.

в: SEG Technical Program Expanded Abstracts, Том 34, 2015, стр. 2235-2240.

Результаты исследований: Научные публикации в периодических изданияхстатья по материалам конференцииРецензирование

Harvard

Silvestrov, I, Gadylshin, K, Neklyudov, D & Tcheverda, V 2015, 'Waveform inversion of surface waves in f-k domain in locally 1D formulation', SEG Technical Program Expanded Abstracts, Том. 34, стр. 2235-2240. https://doi.org/10.1190/segam2015-5832894.1

APA

Silvestrov, I., Gadylshin, K., Neklyudov, D., & Tcheverda, V. (2015). Waveform inversion of surface waves in f-k domain in locally 1D formulation. SEG Technical Program Expanded Abstracts, 34, 2235-2240. https://doi.org/10.1190/segam2015-5832894.1

Vancouver

Silvestrov I, Gadylshin K, Neklyudov D, Tcheverda V. Waveform inversion of surface waves in f-k domain in locally 1D formulation. SEG Technical Program Expanded Abstracts. 2015;34:2235-2240. doi: 10.1190/segam2015-5832894.1

Author

Silvestrov, I. ; Gadylshin, K. ; Neklyudov, D. и др. / Waveform inversion of surface waves in f-k domain in locally 1D formulation. в: SEG Technical Program Expanded Abstracts. 2015 ; Том 34. стр. 2235-2240.

BibTeX

@article{1b6c5814c2f04b3aa60b5d52df1d9582,
title = "Waveform inversion of surface waves in f-k domain in locally 1D formulation",
abstract = "Near-surface velocity variation is one of the main challenges for land data acquired in arid environment. Conventional methods have certain limitations and industry is constantly searching for better techniques for near-surface characterization. One of the promising approaches is surface wave inversion since surface waves are naturally localized in the shallow part of the subsurface and they tend to be very sensitive to the S-wave velocity anomalies. The conventional method for surface wave analysis requires dispersion curve picking and therefore is quite time- and manpower consuming. An alternative approach that is recursively comparing amplitude spectrum of the data in FWI manner does not require any picking and can be applied automatically. In this work, we demonstrate the advantages of the new technique and compare it with the standard approach. For simplicity, we show all results for 1D model that is part of complex and quite realistic 2D model.",
author = "I. Silvestrov and K. Gadylshin and D. Neklyudov and V. Tcheverda",
year = "2015",
doi = "10.1190/segam2015-5832894.1",
language = "English",
volume = "34",
pages = "2235--2240",
journal = "SEG Technical Program Expanded Abstracts",
issn = "1052-3812",
publisher = "Society of Exploration Geophysicists",
note = "SEG New Orleans Annual Meeting, SEG 2015 ; Conference date: 18-10-2011 Through 23-10-2011",

}

RIS

TY - JOUR

T1 - Waveform inversion of surface waves in f-k domain in locally 1D formulation

AU - Silvestrov, I.

AU - Gadylshin, K.

AU - Neklyudov, D.

AU - Tcheverda, V.

PY - 2015

Y1 - 2015

N2 - Near-surface velocity variation is one of the main challenges for land data acquired in arid environment. Conventional methods have certain limitations and industry is constantly searching for better techniques for near-surface characterization. One of the promising approaches is surface wave inversion since surface waves are naturally localized in the shallow part of the subsurface and they tend to be very sensitive to the S-wave velocity anomalies. The conventional method for surface wave analysis requires dispersion curve picking and therefore is quite time- and manpower consuming. An alternative approach that is recursively comparing amplitude spectrum of the data in FWI manner does not require any picking and can be applied automatically. In this work, we demonstrate the advantages of the new technique and compare it with the standard approach. For simplicity, we show all results for 1D model that is part of complex and quite realistic 2D model.

AB - Near-surface velocity variation is one of the main challenges for land data acquired in arid environment. Conventional methods have certain limitations and industry is constantly searching for better techniques for near-surface characterization. One of the promising approaches is surface wave inversion since surface waves are naturally localized in the shallow part of the subsurface and they tend to be very sensitive to the S-wave velocity anomalies. The conventional method for surface wave analysis requires dispersion curve picking and therefore is quite time- and manpower consuming. An alternative approach that is recursively comparing amplitude spectrum of the data in FWI manner does not require any picking and can be applied automatically. In this work, we demonstrate the advantages of the new technique and compare it with the standard approach. For simplicity, we show all results for 1D model that is part of complex and quite realistic 2D model.

UR - http://www.scopus.com/inward/record.url?scp=85018971851&partnerID=8YFLogxK

U2 - 10.1190/segam2015-5832894.1

DO - 10.1190/segam2015-5832894.1

M3 - Conference article

AN - SCOPUS:85018971851

VL - 34

SP - 2235

EP - 2240

JO - SEG Technical Program Expanded Abstracts

JF - SEG Technical Program Expanded Abstracts

SN - 1052-3812

T2 - SEG New Orleans Annual Meeting, SEG 2015

Y2 - 18 October 2011 through 23 October 2011

ER -

ID: 25778248