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首页> 外文期刊>Geophysics: Journal of the Society of Exploration Geophysicists >Marine guided waves: Subbottom property estimation and filtering using physical modeling data
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Marine guided waves: Subbottom property estimation and filtering using physical modeling data

机译:船用导波:使用物理建模数据进行下层属性估计和滤波

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Marine guided waves are strongly dispersive and commonly observed in seismic surveys worldwide in areas of shallow water with a hard seafloor. They are energetic and can obscure deeper reflection signals. We have conducted several ultrasonic physical modeling experiments to observe marine guided waves. The guided-wave dispersion curves from these surveys fit theoretical calculations very well. We next developed a new method to extract the subbottom S-wave velocity and density from water column guided waves using least-squares inversion. We have also developed a dispersion-curve filter, in the velocity-frequency domain, to attenuate the guided waves. We then applied these techniques to the physical modeling data, which have different water depths and different subbottom materials. The extracted results (S-wave velocity, density, and water depth) match the actual values well. The dispersion-domain filter clarifies reflections by attenuating the guided waves, which benefits further processing and interpretation.
机译:海洋导波是高度分散的,通常在具有硬海底的浅水地区的全球地震勘测中观察到。它们充满活力,可以遮盖更深的反射信号。我们已经进行了几次超声物理建模实验,以观察海洋导波。这些测量的导波色散曲线非常适合理论计算。接下来,我们开发了一种使用最小二乘反演从水柱导波中提取地下S波速度和密度的新方法。我们还在速度-频率域中开发了色散曲线滤波器,以衰减导波。然后,我们将这些技术应用于物理模型数据,这些数据具有不同的水深和不同的底部材料。提取的结果(S波速度,密度和水深)与实际值非常匹配。色散域滤波器通过衰减导波来使反射清晰,这有利于进一步的处理和解释。

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