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2D elastic full-waveform imaging of the near-surface: Application to synthetic and physical modelling data sets

机译:近表面的2D弹性全波形成像:应用于合成和物理建模数据集

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摘要

Standard seismic methods are generally not well adapted to provide sharp quantitative images of the first few metres of underground. A two-dimensional full-waveform inversion of land seismic data, based on frequency-domain viscoelastic modelling, offers a promising approach to take advantage of the full complexity of seismograms and to simultaneously build 2D images of VP and VS parameters. In order to understand the behaviour of this method in a near-surface context and anticipate the corresponding field applications, we perform this investigation by applying waveform inversion on a simple layered medium. We first use synthetic data obtained from numerical modelling and then we employ laboratory data obtained by small-scale physical modelling. We demonstrate that such a near-surface 2D model can be quantitatively determined even in a realistic situation where the data are dominated by high-amplitude surface waves. A comparison of results derived for the same medium from ideal synthetic data and noisy experimental data allows detecting anomalies in the reconstruction of velocity models due to the experimental nature of the data used.
机译:通常,标准地震方法不能很好地适应于提供地下前几米的清晰定量图像。基于频域粘弹性建模的陆地地震数据的二维全波形反演提供了一种有前途的方法,可以利用地震图的全部复杂性并同时构建VP和VS参数的2D图像。为了了解此方法在近地表环境中的行为并预期相应的现场应用,我们通过在简单的分层介质上应用波形反演来执行此研究。我们首先使用从数值建模获得的综合数据,然后再使用通过小规模物理建模获得的实验室数据。我们证明,即使在数据由高振幅表面波控制的现实情况下,也可以定量确定这种近表面二维模型。从理想的合成数据和嘈杂的实验数据中对相同介质得出的结果进行比较,由于所使用数据的实验性质,可以检测速度模型重建中的异常情况。

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