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Characterization of polarization attributes of seismic waves using continuous wavelet transforms

机译:使用连续小波变换表征地震波的极化属性

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Complex-trace analysis is the method of choice for analyzing polarized data. Because particle motion can be represented by instantaneous attributes that show distinct features for waves of different polarization characteristics, it can be used to separate and characterize these waves. Traditional methods of complex-trace analysis only give the instantaneous attributes as a function of time or frequency. However. for transient wave types or seismic events that overlap in time, an estimate of the polarization parameters requires analysis of the time-frequency dependence of these attributes. We propose a method to map instantaneous polarization attributes of seismic signals in the wavelet domain and explicitly relate these attributes with the wavelet-transform coefficients of the analyzed signal. We compare our method with traditional complex-trace analysis using numerical examples. An advantage of our method is its possibility of performing the complete wave-mode separation/ filtering process in the wavelet domain and its ability to provide the frequency dependence of ellipticity, which contains important information on the subsurface structure. Furthermore, using 2-C synthetic and real seismic shot gathers, we show how to use the method to separate different wave types and identify zones of interfering wave modes.
机译:复迹线分析是分析极化数据的一种选择方法。因为粒子运动可以由瞬时属性表示,这些属性显示具有不同偏振特性的波的不同特征,所以可以将其用于分离和表征这些波。传统的复杂痕迹分析方法仅将瞬时属性作为时间或频率的函数。然而。对于瞬态波类型或时间上重叠的地震事件,极化参数的估计需要分析这些属性的时频依赖性。我们提出了一种在小波域中映射地震信号的瞬时极化属性的方法,并将这些属性与分析信号的小波变换系数明确相关。我们使用数值示例将我们的方法与传统的复杂痕迹分析进行比较。我们方法的优点是它可以在小波域中执行完整的波模分离/滤波过程,并且具有提供椭圆率的频率依赖性的能力,该椭圆率包含有关地下结构的重要信息。此外,使用2-C合成地震波和真实地震波集,我们展示了如何使用该方法来分离不同的波类型并识别干扰波模式的区域。

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