Curvature-Varying Hyperbolic Trace TFPF for Seismic Random Noise Attenuation
Curvature-Varying Hyperbolic Trace TFPF for Seismic Random Noise Attenuation
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DOI：
10.1109/lgrs.2015.2464233
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发表时间：
2015-09
影响因子：
4.8
通讯作者：
Guanghai Zhuang;Yue Li;N. Wu;Yanan Tian
中科院分区：
文献类型：
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作者：
Guanghai Zhuang;Yue Li;N. Wu;Yanan Tian
时频峰值滤波是抑制地震记录中随机噪声的有效方法。然而，信号可能在同一时间被衰减，特别是对于高频信号。在这封信中，我们提出了一种曲率变化的双曲曲迹TFPF来减小误差。我们沿着地震的时间-距离曲线对地震记录进行采样。对于震源区，由于信号沿时间-距离曲线的相关性，各采样道上的采样信号近似为线性(低频)，从而减小了TFPF对地震波估计的偏差。然而，地震事件的曲率是多种多样的，采用单一曲率的道对整个地震记录进行采样是不合理的。由于曲率不同的事件位于Radon域的不同区域，因此只需对部分Radon数据进行反Radon变换即可将曲率几乎相同的事件分离出来。为每个分离的子记录选择最优的双曲线采样道，并使用TFPF对沿道的数据进行滤波。通过对所有处理过的子记录求和来重构去噪信号。与TFPF方法相比，该方法在保留地震反射事件和去噪方面都取得了较好的效果。
Time-frequency peak filtering (TFPF) is effective in suppressing random noise in seismic records. However, the signal may be attenuated at the same time, especially for the high-frequency signal. In this letter, we propose a curvature-varying hyperbolic trace TFPF to reduce the error. We sample the seismic record along the time-distance curve of the event. For the event area, the sampled signal in each sampling trace is approximately linear (low frequency) due to the correlation of the signal along the time-distance curve, which reduces the bias of the seismic wave estimation brought by TFPF. However, the curvatures of seismic events are various, so adopting traces with a single curvature to sample the whole seismic record is not reasonable. As the events with different curvatures are located in different areas in Radon domain, the events with almost the same curvature can be separated out by an inverse Radon transform of only part of the Radon data. The optimal hyperbolic sampling traces are chosen for each separated subrecord, and we filter the data along the traces by TFPF. The denoised signal is reconstructed by summing all of the processed subrecords. Compared with TFPF, our method gets a good performance in both seismic reflection event preservation and noise attenuation.