Generation of a pseudo-2D shear-wave velocity section by inversion of a series of 1D dispersion curves

https://doi.org/10.1016/j.jappgeo.2008.01.003Get rights and content

Abstract

Multichannel Analysis of Surface Waves utilizes a multichannel recording system to estimate near-surface shear (S)-wave velocities from high-frequency Rayleigh waves. A pseudo-2D S-wave velocity (vS) section is constructed by aligning 1D models at the midpoint of each receiver spread and using a spatial interpolation scheme. The horizontal resolution of the section is therefore most influenced by the receiver spread length and the source interval. The receiver spread length sets the theoretical lower limit and any vS structure with its lateral dimension smaller than this length will not be properly resolved in the final vS section. A source interval smaller than the spread length will not improve the horizontal resolution because spatial smearing has already been introduced by the receiver spread.

In this paper, we first analyze the horizontal resolution of a pair of synthetic traces. Resolution analysis shows that (1) a pair of traces with a smaller receiver spacing achieves higher horizontal resolution of inverted S-wave velocities but results in a larger relative error; (2) the relative error of the phase velocity at a high frequency is smaller than at a low frequency; and (3) a relative error of the inverted S-wave velocity is affected by the signal-to-noise ratio of data. These results provide us with a guideline to balance the trade-off between receiver spacing (horizontal resolution) and accuracy of the inverted S-wave velocity. We then present a scheme to generate a pseudo-2D S-wave velocity section with high horizontal resolution using multichannel records by inverting high-frequency surface-wave dispersion curves calculated through cross-correlation combined with a phase-shift scanning method. This method chooses only a pair of consecutive traces within a shot gather to calculate a dispersion curve. We finally invert surface-wave dispersion curves of synthetic and real-world data. Inversion results of both synthetic and real-world data demonstrate that inverting high-frequency surface-wave dispersion curves – by a pair of traces through cross-correlation with phase-shift scanning method and with the damped least-square method and the singular-value decomposition technique – can feasibly achieve a reliable pseudo-2D S-wave velocity section with relatively high horizontal resolution.

Introduction

The shear (S)-wave velocity (vS) of near-surface materials (soil, rocks, and pavement) and its effect on seismic-wave propagation are of fundamental interest in many groundwater, engineering, and environmental studies. Multichannel Analysis of Surface Waves (MASW) analysis is an efficient tool to obtain a vertical S-wave velocity profile (Song et al., 1989, Park et al., 1999, Xia et al., 1999, Xia et al., 2002a, Xia et al., 2002b, Xia et al., 2006, Calderón-Macías and Luke, 2007, Luo et al., 2007). The large amplitude of surface waves allows an accurate reconstruction of shallow structures in a noisy environment by inversion of observed dispersion curves. Smoothed S-wave velocity sections can be reconstructed by considering successive shots. MASW techniques, therefore, have been applied to determine near-surface S-wave velocity (Park et al., 1999, Xia et al., 1999, Xia et al., 2002a, Xia et al., 2002b) and near-surface attenuation parameters (Xia et al., 2002c), bedrock mapping (Xia et al., 1998, Miller et al., 1999), cavern detection (Xia et al., 2004, Xia et al., 2007a), joint inversion of P-wave velocities and surface-wave phase velocities (Ivanov et al., 2006a), and other nondestructive detection projects (Lai et al., 2002, Yilmaz and Eser, 2002, Tian et al., 2003a, Tian et al., 2003b, Ivanov et al., 2006b).

The MASW method utilizes a multichannel recording system to estimate near-surface S-wave velocity from high-frequency Rayleigh waves. A pseudo-2D S-wave velocity section is constructed by aligning 1D models at each spread midpoint and using a spatial interpolation scheme. This technique consists of (1) acquisition of wide-band, high-frequency ground roll using a multichannel recording system (e.g., Song et al., 1989, Park et al., 1999); (2) creation of efficient and accurate algorithms organized in a straightforward data-processing sequence designed to extract and analyze 1D Rayleigh-wave dispersion curves (e.g., McMechan and Yedlin, 1981, Yilmaz, 1987, Park et al., 1998, Xia et al., 2007b); (3) development of stable and efficient inversion algorithms to obtain S-wave velocity profiles (e.g., Xia et al., 1999), and (4) construction of the 2D S-wave velocity field (Xia et al., 1998, Miller et al., 1999). The horizontal resolution of the section is therefore most influenced by the receiver spread length (the distance between the first and last receivers) and the acquisition interval (the distance of the same source–receiver configuration moved). The receiver spread length sets the theoretical lower limit, and any vS structure with its lateral dimension smaller than this will not be properly resolved in the final vS section. An acquisition interval smaller than the spread length will not improve this limitation because spatial smearing has already been introduced by the receiver spread (Park, 2005).

Dal Moro et al. (2003) evaluated the effectiveness of three schemes for phase velocity computation based on F–K spectrum, Tau–p transform, and phase shift. They concluded that the phase-shift approach is insensitive to data processing and performs very well even when a limited number of traces are considered. Xia et al. (2005) discussed the resolving power of the MASW technique and resolution of S-wave velocity and presented a lateral unblurring processing by generalized inversion and pointed out that the ultimate goal of Rayleigh-wave techniques is to extract accurate dispersion curves from a record with a short geophone spread.

An appealing alternative solution to generate pseudo-2D S-wave velocity sections can be obtained by inversion of dispersion curves calculated through a cross-correlation method (Guo and Liu, 1999, Liu et al., 2003). The cross-correlation method chooses only a pair of consecutive receivers in the multichannel record to calculate dispersion curves. This method can greatly improve the horizontal resolution of pseudo-2D sections without having to acquire redundant field data. This method, however, is sensitive to noise in data and unrealistic results will be generated if the data have a very low signal-to-noise (S/N) ratio.

In this paper, we first analyze the feasibility of generating dispersion curves with a pair of traces with a selected trace interval. Then we present a scheme to generate a pseudo-2D S-velocity section with high horizontal resolution using multichannel records by inverting high-frequency surface-wave dispersion curves calculated through a combined method of cross-correlation and phase-shift scanning that uses simply two consecutive traces in a multichannel record to calculate the dispersion curve. The purpose of the combined method is to obtain high reliable dispersion curves with the highest horizontal resolution possible. In the end, we invert surface-wave dispersion curves of both a theoretical model and a real-world example to demonstrate the feasibility of the scheme to estimate S-wave velocity sections using a damped least-square method and the singular-value decomposition (SVD) technique (Xia et al., 1999).

Section snippets

Resolution analysis

Seismic resolution defines to what extent detail of vertical and lateral changes in the earth can be obtained from seismic data. Horizontal resolution determines the ability to distinguish events that are laterally displaced from each other (e.g., Yilmaz, 1987, Hokstad et al., 2001). The term “horizontal resolution” in this paper refers to the lateral interval of S-wave velocities inverted from surface waves. The main task of the resolution analysis is to study relative errors of calculated

The method

We first introduce the method of cross-correlation with phase-shift scanning and then present the scheme illustrating the processing flow of obtaining pseudo-2D S-wave velocity sections.

synthetic example

A shot gather (the vertical component, Fig. 4) from a 2D model (Fig. 5) was computed using a finite difference method (Xu et al., 2007). In this model, a corner edge was designed to simulate a vertical fault at a shallow depth. In the finite difference method, the spatial grid size was 1 m with time step of 0.1 ms, source is described by the first-order derivative of Gaussian function t · exp(− at2) with controlling parameter a = 3000, and the nearest shot-geophone offset was selected as 6 m with a

A real-world example

Real-world data (Miller et al., 1999) were employed to study the feasibility of the scheme using a pair of traces to estimate S-wave velocity sections. The depth of interest ranged from about 1 to 10 m below the ground surface. Improving the bedrock surface map and delineating any potential contaminant pathways on or into bedrock were the primary objectives of this survey. Standard CMP roll-along techniques were used to record data with a 1.2-m shot interval. Forty-eight channel surface data

Conclusions

The main motivation of the present work lies in the observation that improving horizontal resolution of S-wave velocities by the MASW method is a very hard task. Horizontal resolution of an S-wave velocity profile is determined by the receiver spread length and the acquisition interval. We present a scheme to generate a high-resolution pseudo-2D S-wave velocity section by inverting a series of dispersion curves that were generated by a pair of traces. In this scheme, a pair of traces is chosen

Acknowledgments

This study is partly supported by the National Science Foundation of China (No. 40474025) and Excellent Young Teacher Foundation of China University of Geosciences (No. CUGQNL0524). The authors appreciate the efforts of Marla Adkins-Heljeson and Mary Brohammer of the Kansas Geological Survey in editing of the manuscript.

References (46)

  • AchenbachJ.D.

    Wave Propagation in Elastic Solids

    (1984)
  • AkiK. et al.

    Quantitative seismology theory and methods

  • Calderón-MacíasC. et al.

    Improved parameterization to invert Rayleigh-wave data for shallow profiles containing stiff inclusions

    Geophysics

    (2007)
  • Dal MoroG. et al.

    Determination of Rayleigh wave dispersion curves for near surface applications in unconsolidated sediments

  • FaraV.

    Ray tracing in complex media

    Journal of Applied Geophysics, 1993

    (1993)
  • ForbrigerV.

    Inversion of shallow-seismic wavefields: I. Wavefield transformation

    Geophys. J. Int.

    (2003)
  • GuoT. et al.

    Non-intrusive evaluation of submarine tunnel foundation using dynamic high-frequency surface wave prospecting

  • HokstadK. et al.

    Horizontal resolution of 3-D VSP data

  • IvanovJ. et al.

    Joint analysis of refractions with surface waves: an inverse solution to the refraction-traveltime problem

    Geophysics

    (2006)
  • IvanovJ. et al.

    Delineating a shallow fault zone and dipping bedrock strata using multichannel analysis of surface waves with a land streamer

    Geophysics

    (2006)
  • LeblancG.E. et al.

    Denoising of aeromagnetic data via the wavelet transform

    Geophysics

    (2001)
  • LaiC.G. et al.

    Propagation of data uncertainty in surface wave inversion

    Journal of Environmental and Engineering Geophysics

    (2005)
  • LiuJ.P. et al.

    Adjacent-channel transient Rayleigh wave method and its application in compression strength test of water-tight wall

    Yangtze River

    (2003)
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