SEG Technical Program Expanded Abstracts 2008 2008
DOI: 10.1190/1.3063874
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Characterization of spatially varying surface waves in a land seismic survey

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Cited by 8 publications
(5 citation statements)
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“…We discuss in this paper how different methods can be optimized and improved with large-scale 3D data and we present a workflow to: 1 obtain a high resolution spatial distribution of the surfacewave properties, in particular the velocity, 2 invert the surface-wave properties to a near-surface model, 3 remove the surface wave from data with a model-based filter. The analysis of the spatial variability of the surface-wave velocity in reflection seismic has also been discussed by Ross et al (2008). We propose here a surface-wave analysis method that exploits the rich sampling of the surface waves in 3D single sensor data to maximize the resolution and accuracy using a local adaptive transform to analyse linear events.…”
Section: Surface-wave Acquisition and Multiscale Analysis With Point-mentioning
confidence: 99%
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“…We discuss in this paper how different methods can be optimized and improved with large-scale 3D data and we present a workflow to: 1 obtain a high resolution spatial distribution of the surfacewave properties, in particular the velocity, 2 invert the surface-wave properties to a near-surface model, 3 remove the surface wave from data with a model-based filter. The analysis of the spatial variability of the surface-wave velocity in reflection seismic has also been discussed by Ross et al (2008). We propose here a surface-wave analysis method that exploits the rich sampling of the surface waves in 3D single sensor data to maximize the resolution and accuracy using a local adaptive transform to analyse linear events.…”
Section: Surface-wave Acquisition and Multiscale Analysis With Point-mentioning
confidence: 99%
“…The analysis of the spatial variability of the surface‐wave velocity in reflection seismic has also been discussed by Ross et al (). We propose here a surface‐wave analysis method that exploits the rich sampling of the surface waves in 3D single sensor data to maximize the resolution and accuracy using a local adaptive transform to analyse linear events.…”
Section: Introductionmentioning
confidence: 98%
“…Yet another method, known as the HV ratio, inverts for subsurface structure from the spectral ratio of the horizontal and vertical components of a Rayleigh or Scholte wave observed on a 3C receiver (Muyzert, 2007). The HV ratio, or ellipticity (Ross et al, 2008), senses the shallow structure immediately beneath the receiver.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, Bussat and Kugler (2009) showed that a similar technique can be applied at the reservoir scale in a marine setting. Our purpose is to investigate the ability of surface waves to provide useful information on shear statics, as previously discussed by Ross et al (2008), instead of being discarded as undesirable noise. We demonstrate how the presence of low frequency surface waves in land seismic data makes it possible to gauge strong variations in shear wave velocity in the shallow subsurface.…”
Section: Introductionmentioning
confidence: 99%
“…For a nominal frequency of 5 Hz and phase velocity of 500 m/s, this means that a surface wave of the Rayleigh or Love type only feels the upper 100 m of the subsurface. As a result, surface waves cannot be used for imaging deep reflectors; however, they can be used to estimate near-surface properties (Xia et al, 1999;Ross et al, 2008), in particular the shear-wave velocity. Knowledge of near-surface velocity structure in turn can be used to estimate shear-wave statics in reflection seismology.…”
mentioning
confidence: 99%