Seismic denoising using curvelet analysis
Seismic denoising using curvelet analysis
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DOI：
10.1016/j.physa.2011.04.009
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发表时间：
2012-03
影响因子：
3.3
通讯作者：
M. S. Oliveira;M. Henriques;F. E. A. Leite;G. Corso;L. Lucena
中科院分区：
文献类型：
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作者：
M. S. Oliveira;M. Henriques;F. E. A. Leite;G. Corso;L. Lucena
曲波是一种新的有效的谱变换，它允许复杂数据的稀疏表示。它在去噪、波在无序介质中的传播和模式识别等领域有着广泛的应用。这种谱技术是基于方向基函数，其表示沿沿着平滑曲线具有不连续性的对象。在这项工作中，我们应用这种技术来去除地滚，这是一个不希望的特征信号存在于通过探测地球的地质结构获得的地震数据。该方法利用曲波变换对原始地震数据进行尺度域和角度域分解。对于每个尺度，曲波去噪技术允许在角度部分中非常有效地分离地滚波。地面滚动模式的精确识别允许其系数的有效擦除。与传统的去噪技术相比，我们不使用任何人工衰减因子来降低地滚系数的幅度。我们估计，根据尺度的不同，大约75%的强非期望信号的能量被去除。
A curvelet is a new and effective spectral transform, that allows sparse representations of complex data. It has many applications in several fields, including denoising, wave propagation in disordered media and pattern recognition. This spectral technique is based on directional basis functions that represent objects having discontinuities along smooth curves. In this work we apply this technique to the removal of Ground Roll, which is an undesired feature signal present in seismic data obtained by sounding the geological structures of the Earth. In this methodology the original seismic data is decomposed by curvelet transform in scales and angular domains. For each scale the curvelet denoising technique allows a very efficient separation of the Ground Roll in angle sections. The precise identification of the Ground Roll pattern allows an effective erasing of its coefficients. In contrast to conventional denoising techniques we do not use any artificial attenuation factor to decrease the amplitude of the Ground Roll coefficients. We have estimated that, depending on the scale, around 75% of the energy of the strong undesired signal is removed.