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Efficiency of complex trace analysis to attenuate ground-roll noise from seismic data

机译:复杂迹线分析从地震数据中衰减地滚波噪声的效率

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摘要

Ground-roll, characterized by low frequency and high amplitude, is one of the most important issues in seismic data processing. Common methods to eliminate ground-roll noise from seismic data include frequency-based methods which pose filtering the whole signal. In addition, assuming being stationary signal which attended in filter is another disadvantage of those methods; however, in this paper a new method based on using Hilbert transform to address high-amplitude, low-frequency coherent noise is proposed. In this respect the conventional seismic trace can be viewed as the real component of a complex trace. Therefore, its envelope and normalized phase, as the input of running average, are easily calculated. On the other hand, complex trace-based filtering is approached to be a method distinguishing between coherent noise and reflections overlapping each other. This is done by setting a suitable length of window on running average in order to extract low frequency components from data.
机译:以低频和高振幅为特征的地滚波是地震数据处理中最重要的问题之一。从地震数据中消除地滚波噪声的常用方法包括基于频率的方法,这些方法构成了对整个信号的滤波。另外,假定是固定在滤波器中的信号是这些方法的另一个缺点。然而,本文提出了一种基于希尔伯特变换的方法来解决高振幅,低频相干噪声问题。在这方面,常规地震迹线可以看作是复杂迹线的真实组成部分。因此,可以很容易地计算出其包络线和归一化的相位作为运行平均值的输入。另一方面,基于复杂的基于轨迹的滤波是区分相干噪声和彼此重叠的反射的一种方法。这是通过在运行平均值上设置适当的窗口长度来完成的,以便从数据中提取低频分量。

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