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Analysis of group-velocity dispersion of high-frequency Rayleigh waves for near-surface applications

机译:近地面应用高频瑞利波的群速度色散分析

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The Multichannel Analysis of Surface Waves (MASW) method is an efficient tool to obtain the vertical shear (S)-wave velocity profile using the dispersive characteristic of Rayleigh waves. Most MASW researchers mainly apply Rayleigh-wave phase-velocity dispersion for S-wave velocity estimation with a few exceptions applying Rayleigh-wave group-velocity dispersion. Herein, we first compare sensitivities of fundamental surface-wave phase velocities with group velocities with three four-layer models including a low-velocity layer or a high-velocity layer. Then synthetic data are simulated by a finite difference method. Images of group-velocity dispersive energy of the synthetic data are generated using the Multiple Filter Analysis (MFA) method. Finally we invert a high-frequency surface-wave group-velocity dispersion curve of a real-world example. Results demonstrate that (1) the sensitivities of group velocities are higher than those of phase velocities and usable frequency ranges are wider than that of phase velocities, which is very helpful in improving inversion stability because for a stable inversion system, small changes in phase velocities do not result in a large fluctuation in inverted S-wave velocities; (2) group-velocity dispersive energy can be measured using single-trace data if Rayleigh-wave fundamental-mode energy is dominant, which suggests that the number of shots required in data acquisition can be dramatically reduced and the horizontal resolution can be greatly improved using analysis of group-velocity dispersion; and (3) the suspension logging results of the real-world example demonstrate that inversion of group velocities generated by the MFA method can successfully estimate near-surface S-wave velocities.
机译:表面波的多通道分析(MASW)方法是利用瑞利波的色散特性获得垂直剪切(S)波速度剖面的有效工具。大多数MASW研究人员主要将瑞利波相速度色散应用于S波速度估计,少数情况下应用瑞利波群速度色散。在此,我们首先使用包括低速层或高速层的三个四层模型比较基本面波相速度和群速度的灵敏度。然后通过有限差分法模拟合成数据。使用多重滤波器分析(MFA)方法生成合成数据的群速度色散能图像。最后,我们将一个真实示例的高频表面波群速度色散曲线求反。结果表明:(1)群速度的灵敏度高于相速度的灵敏度,可用频率范围比相速度的灵敏度宽,这对于提高反演稳定性非常有帮助,因为对于一个稳定的反演系统来说,相速度的变化很小不会导致倒S波速度的大波动; (2)如果瑞利波基本模式能量占主导地位,则可以使用单迹线数据测量群速度色散能量,这表明可以大大减少数据采集所需的发射次数,并可以大大提高水平分辨率。使用群速度色散分析; (3)实际实例的悬架测井结果表明,通过MFA方法生成的群速度反演可以成功估算近地表S波速度。

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