Surface-wave analysis is based on the estimation of surface-wave dispersion curves, which are then inverted to provide 1D S-wave velocity profiles. Surface-wave dispersion curves can be extracted from P-wave records obtained in seismic exploration and used to characterize the ground structure at a shallow depth. Dispersion curve estimation using 2D wavefield transforms is well-established for 2D acquisition schemes (in-line source and receiver spread). It is possible to extract surface-wave dispersion curves using 2D wavefield transforms from 3D seismic data acquired with any acquisition scheme. In particular, we focus on areal geometry and orthogonal geometry, and we provide a method based on the analysis in the offset domain and the f -k multiple signal classification (MUSIC) transform.We assess the performance of the method on synthetic and field data concerning 1D sites.

Estimating surface-wave dispersion curves from 3D seismicacquisition schemes: Part 1 — 1D models / Boiero, Daniele; Bergamo, Paolo; Rege, ROBERTO BRUNO; Socco, Laura. - In: GEOPHYSICS. - ISSN 0016-8033. - STAMPA. - 76:6(2011), pp. G85-G93. [10.1190/GEO2011-0124.1]

Estimating surface-wave dispersion curves from 3D seismicacquisition schemes: Part 1 — 1D models

BOIERO, DANIELE;BERGAMO, PAOLO;REGE, ROBERTO BRUNO;SOCCO, LAURA
2011

Abstract

Surface-wave analysis is based on the estimation of surface-wave dispersion curves, which are then inverted to provide 1D S-wave velocity profiles. Surface-wave dispersion curves can be extracted from P-wave records obtained in seismic exploration and used to characterize the ground structure at a shallow depth. Dispersion curve estimation using 2D wavefield transforms is well-established for 2D acquisition schemes (in-line source and receiver spread). It is possible to extract surface-wave dispersion curves using 2D wavefield transforms from 3D seismic data acquired with any acquisition scheme. In particular, we focus on areal geometry and orthogonal geometry, and we provide a method based on the analysis in the offset domain and the f -k multiple signal classification (MUSIC) transform.We assess the performance of the method on synthetic and field data concerning 1D sites.
2011
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2488859
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