Результаты исследований: Научные публикации в периодических изданиях › статья по материалам конференции › Рецензирование
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 изданиях › статья по материалам конференции › Рецензирование
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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