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Wavelet correlation filter for wide-angle seismic data

机译:小波相关滤波器,用于广角地震数据

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A new filtering technique for single-fold wide-angle reflection/refraction seismic data is presented. The technique is based on the wavelet decomposition of a set of adjacent traces followed by coherence analysis. The filtering procedure consists of three steps. In the first, a wavelet decomposition of traces into different detail levels is performed. In the second, the coherence attributes for each level are evaluated by calculating cross-correlation functions of detail portions contained in a space-time moving window. Finally, the filtered traces are obtained as a weighted reconstruction of the trace details. Each weight is obtained from the coherence-attributes distribution estimated in a proper interval. A sequence of tests is then conducted in order to select possible optimum or unsuitable wavelet bases. The efficiency of the filter proposed was assessed by calculating some properly designed parameters in order to compare it with other standard de-noising techniques. The proposed method produced a clear signal enhancement in high-density wide-angle seismic data, thus proving that it is a useful processing tool for a reliable correlation of seismic phases.
机译:提出了一种新的单倍广角反射/折射地震数据滤波技术。该技术基于一组相邻迹线的小波分解,然后进行相干分析。过滤过程包括三个步骤。首先,对轨迹进行小波分解为不同的细节级别。在第二部分中,通过计算包含在时空移动窗口中的细节部分的互相关函数来评估每个级别的相干属性。最终,获得滤波后的轨迹,作为轨迹细节的加权重构。每个权重都是从以适当间隔估算的相干属性分布中获得的。然后进行一系列测试,以选择可能的最佳或不合适的小波基。通过计算一些适当设计的参数来评估所提出的滤波器的效率,以便将其与其他标准降噪技术进行比较。所提出的方法在高密度广角地震数据中产生了明显的信号增强,从而证明它是用于可靠地震相相关的有用处理工具。

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