基于方向可控滤波的地震勘探随机噪声压制

针对地震勘探随机噪声的压制,本文应用拉伸厄米特高斯函数设计出方向可控滤波器.根据时空域上随机噪声的无方向性与有效信号的有向性的区别,通过局部数字特征,对数据进行选择后重组信号.方向选择性的增加,使得滤波过程能与不同方向的轴进行匹配,噪声被压制的同时保持信号的幅度;方向可调性,使得计算效率提高,且所需存储空间减少.仿真实验表明,采用此方法,信号保幅性和去噪效果均比传统的小波算法以及Curvelet变换好,在-5db信噪比下,本文方法保幅度为92.99%,信噪比提升221.774%,在实际地震信号处理中有明显的抑制噪声、保持有用信号的效果.

Suppression of seismic random noise based on steerable filters

For seismic random noise suppression, this work designs a steerable filter by taking advantage of elongated Hermite-Gauss functions. According to the different directional responses between valid signal and random noise, we can reconstruct signal by the local characteristics of selected data. With the added directional selectivity, the filtering process can be matched with different directions axes, which makes sure that noise is suppressed without reducing the signal fidelity. The property of directional steerability makes computation more efficient and requires less storage space. Simulation results show that we can get a better signal amplitude and denoising effects than traditional wavelet transform and Curvelet transform algorithm by using this method. In -5db SNR, this method can ensure that the average amplitude reaches 92.99% and SNR enhances 221.774%, which can significantly suppress noise as well as keep the useful signal in processing of real seismic signals.