Trace-transform-based time-frequency filtering for seismic signal enhancement in Northeast China
Trace-transform-based time-frequency filtering for seismic signal enhancement in Northeast China
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DOI：
10.1016/j.crte.2016.02.001
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发表时间：
2016-05
影响因子：
1.4
通讯作者：
N. Wu;Yue Li;Yanan Tian;T. Zhong
中科院分区：
文献类型：
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作者：
N. Wu;Yue Li;Yanan Tian;T. Zhong
本文提出了一种基于迹变换的时空方向径向迹时频峰值滤波方法。它利用沿反射同相轴沿着方向数据的相似性，通过寻找构造的道函数的局部极大值来计算时空径向方向。该方法利用了TFPF在非平稳信号估计中的优势，特别是在没有先验知识的情况下。此外，在时间-空间域中应用滤波导致更少偏差的TFPF估计。在轨迹变换的框架内，指定的轨迹函数首先计算质心，然后沿着轨迹沿着累积反射信号的能量，从而帮助自动找到局部最优滤波方向。通过对东北地区的合成记录和野外资料的实验表明，该方法具有较好的效果，既能有效地滤除强随机噪声，又能较准确地估计出反射信号用于解释。
In this paper, a trace-transform-based radial trace time frequency peak-filtering method (RT-TFPF) with temporal-spatial directions is proposed. It utilizes the similarity of data along the reflection event and computes the temporal–spatial radial directions by seeking the local maximum value of a constructed trace function. This method takes advantage of the TFPF in non-stationary signal estimation, especially with no prior knowledge. Furthermore, applying the filtering in the temporal–spatial domain results in less biased TFPF estimation. Within the framework of the trace transform, the specified trace function first calculates the centroid and then accumulates the energy of the reflected signal along the trajectory, helping to find the locally optimal filtering directions automatically. Experiments on both synthetic record and field data in North-East China demonstrates good performance–strong random noise can be attenuated, while at the same time, the estimated reflection signal is more accurate for use in interpretation.