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Robust vector median filtering with a structure-adaptive implementation
Geophysics ( IF 3.3 ) Pub Date : 2020-08-31 , DOI: 10.1190/geo2020-0012.1
Yanghua Wang 1 , Xiwu Liu 2 , Fengxia Gao 3 , Ying Rao 4
Affiliation  

The 3D seismic data in the prestack domain are contaminated by impulse noise. We have adopted a robust vector median filter (VMF) for attenuating the impulse noise from 3D seismic data cubes. The proposed filter has two attractive features. First, it is robust; the vector median that is the output of the filter not only has a minimum distance to all input data vectors, but it also has a high similarity to the original data vector. Second, it is structure adaptive; the filter is implemented following the local structure of coherent seismic events. The application of the robust and structure-adaptive VMF is demonstrated using an example data set acquired from an area with strong sedimentary rhythmites composed of steep-dipping thin layers. This robust filter significantly improves the signal-to-noise ratio of seismic data while preserving any discontinuity of reflections and maintaining the fidelity of amplitudes, which will facilitate the reservoir characterization that follows.

中文翻译:

具有结构自适应实现的鲁棒矢量中值滤波

叠前域中的3D地震数据受到脉冲噪声的污染。我们采用了鲁棒的矢量中值滤波器(VMF)来衰减3D地震数据立方体的脉冲噪声。所提出的滤波器具有两个吸引人的特征。首先,它很健壮;作为滤波器输出的向量中值不仅与所有输入数据向量之间的距离最短,而且与原始数据向量的相似度也很高。其次,它是结构自适应的;滤波器是根据相干地震事件的局部结构来实现的。使用示例数据集演示了鲁棒且结构自适应的VMF的应用,该示例数据集是从具有由陡峭浸润的薄层组成的强沉积节律的区域获取的。
更新日期:2020-09-02
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