Retrieving shallow shear-wave velocity profiles from 2D seismic-reflection data with severely aliased surface waves

The inversion of surface-wave phase-velocity dispersion curves provides a reliable method to derive near-surface shear-wave velocity profiles. In this work, we invert phase-velocity dispersion curves estimated from 2D seismic-reflection data. These data cannot be used to image the first 50 m with se...

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Autores principales: Onnis, L.E., Osella, A., Carcione, J.M.
Formato: JOUR
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Acceso en línea:http://hdl.handle.net/20.500.12110/paper_09269851_v161_n_p15_Onnis
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spelling todo:paper_09269851_v161_n_p15_Onnis2023-10-03T15:46:47Z Retrieving shallow shear-wave velocity profiles from 2D seismic-reflection data with severely aliased surface waves Onnis, L.E. Osella, A. Carcione, J.M. MASW Neighborhood algorithm Shear-wave velocity Spatial aliasing Surface waves Acoustic wave velocity Dispersion (waves) Phase velocity Seismic waves Seismology Sensitivity analysis Shear waves Surface waves MASW Neighborhood algorithm Phase-velocity dispersions Shear wave velocity Spatial aliasing Spatial partitioning Surface-wave analysis Wave phase velocities Shear flow algorithm seismic data seismic migration seismic reflection spatial analysis surface wave two-dimensional modeling velocity profile wave velocity The inversion of surface-wave phase-velocity dispersion curves provides a reliable method to derive near-surface shear-wave velocity profiles. In this work, we invert phase-velocity dispersion curves estimated from 2D seismic-reflection data. These data cannot be used to image the first 50 m with seismic-reflection processing techniques due to the presence of indistinct first breaks and significant NMO-stretching of the shallow reflections. A surface-wave analysis was proposed to derive information about the near surface in order to complement the seismic-reflection stacked sections, which are satisfactory for depths between 50 and 700 m. In order to perform the analysis, we had to overcome some problems, such as the short acquisition time and the large receiver spacing, which resulted in severe spatial aliasing. The analysis consists of spatial partitioning of each line in segments, picking of the phase-velocity dispersion curves for each segment in the f-k domain, and inversion of the picked curves using the neighborhood algorithm. The spatial aliasing is successfully circumvented by continuously tracking the surface-wave modal curves in the f-k domain. This enables us to sample the curves up to a frequency of 40 Hz, even though most components beyond 10 Hz are spatially aliased. The inverted 2D VS sections feature smooth horizontal layers, and a sensitivity analysis yields a penetration depth of 20–25 m. The results suggest that long profiles may be more efficiently surveyed by using a large receiver separation and dealing with the spatial aliasing in the described way, rather than ensuring that no spatially aliased surface waves are acquired. © 2018 Elsevier B.V. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_09269851_v161_n_p15_Onnis
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic MASW
Neighborhood algorithm
Shear-wave velocity
Spatial aliasing
Surface waves
Acoustic wave velocity
Dispersion (waves)
Phase velocity
Seismic waves
Seismology
Sensitivity analysis
Shear waves
Surface waves
MASW
Neighborhood algorithm
Phase-velocity dispersions
Shear wave velocity
Spatial aliasing
Spatial partitioning
Surface-wave analysis
Wave phase velocities
Shear flow
algorithm
seismic data
seismic migration
seismic reflection
spatial analysis
surface wave
two-dimensional modeling
velocity profile
wave velocity
spellingShingle MASW
Neighborhood algorithm
Shear-wave velocity
Spatial aliasing
Surface waves
Acoustic wave velocity
Dispersion (waves)
Phase velocity
Seismic waves
Seismology
Sensitivity analysis
Shear waves
Surface waves
MASW
Neighborhood algorithm
Phase-velocity dispersions
Shear wave velocity
Spatial aliasing
Spatial partitioning
Surface-wave analysis
Wave phase velocities
Shear flow
algorithm
seismic data
seismic migration
seismic reflection
spatial analysis
surface wave
two-dimensional modeling
velocity profile
wave velocity
Onnis, L.E.
Osella, A.
Carcione, J.M.
Retrieving shallow shear-wave velocity profiles from 2D seismic-reflection data with severely aliased surface waves
topic_facet MASW
Neighborhood algorithm
Shear-wave velocity
Spatial aliasing
Surface waves
Acoustic wave velocity
Dispersion (waves)
Phase velocity
Seismic waves
Seismology
Sensitivity analysis
Shear waves
Surface waves
MASW
Neighborhood algorithm
Phase-velocity dispersions
Shear wave velocity
Spatial aliasing
Spatial partitioning
Surface-wave analysis
Wave phase velocities
Shear flow
algorithm
seismic data
seismic migration
seismic reflection
spatial analysis
surface wave
two-dimensional modeling
velocity profile
wave velocity
description The inversion of surface-wave phase-velocity dispersion curves provides a reliable method to derive near-surface shear-wave velocity profiles. In this work, we invert phase-velocity dispersion curves estimated from 2D seismic-reflection data. These data cannot be used to image the first 50 m with seismic-reflection processing techniques due to the presence of indistinct first breaks and significant NMO-stretching of the shallow reflections. A surface-wave analysis was proposed to derive information about the near surface in order to complement the seismic-reflection stacked sections, which are satisfactory for depths between 50 and 700 m. In order to perform the analysis, we had to overcome some problems, such as the short acquisition time and the large receiver spacing, which resulted in severe spatial aliasing. The analysis consists of spatial partitioning of each line in segments, picking of the phase-velocity dispersion curves for each segment in the f-k domain, and inversion of the picked curves using the neighborhood algorithm. The spatial aliasing is successfully circumvented by continuously tracking the surface-wave modal curves in the f-k domain. This enables us to sample the curves up to a frequency of 40 Hz, even though most components beyond 10 Hz are spatially aliased. The inverted 2D VS sections feature smooth horizontal layers, and a sensitivity analysis yields a penetration depth of 20–25 m. The results suggest that long profiles may be more efficiently surveyed by using a large receiver separation and dealing with the spatial aliasing in the described way, rather than ensuring that no spatially aliased surface waves are acquired. © 2018 Elsevier B.V.
format JOUR
author Onnis, L.E.
Osella, A.
Carcione, J.M.
author_facet Onnis, L.E.
Osella, A.
Carcione, J.M.
author_sort Onnis, L.E.
title Retrieving shallow shear-wave velocity profiles from 2D seismic-reflection data with severely aliased surface waves
title_short Retrieving shallow shear-wave velocity profiles from 2D seismic-reflection data with severely aliased surface waves
title_full Retrieving shallow shear-wave velocity profiles from 2D seismic-reflection data with severely aliased surface waves
title_fullStr Retrieving shallow shear-wave velocity profiles from 2D seismic-reflection data with severely aliased surface waves
title_full_unstemmed Retrieving shallow shear-wave velocity profiles from 2D seismic-reflection data with severely aliased surface waves
title_sort retrieving shallow shear-wave velocity profiles from 2d seismic-reflection data with severely aliased surface waves
url http://hdl.handle.net/20.500.12110/paper_09269851_v161_n_p15_Onnis
work_keys_str_mv AT onnisle retrievingshallowshearwavevelocityprofilesfrom2dseismicreflectiondatawithseverelyaliasedsurfacewaves
AT osellaa retrievingshallowshearwavevelocityprofilesfrom2dseismicreflectiondatawithseverelyaliasedsurfacewaves
AT carcionejm retrievingshallowshearwavevelocityprofilesfrom2dseismicreflectiondatawithseverelyaliasedsurfacewaves
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