Curvelet变换在工程地震勘探中的应用

Application of Curvelet Method to Engineering Seismic Exploration

针对浅层地震勘察中的随机噪声压制,笔者提出了Curvelet域非线性阈值衰减的随机噪声压制算法,利用Curvelet分解细节估计噪声方差,得到了较好的噪声估计效果。通过给出的模型算例及台山核电厂某地震资料的处理实例,表明该方法能够有效的压制随机干扰,同相轴连续性与剖面信噪比比传统小波方法显著提高,一定程度上改善了常规滤波处理方法在压制噪声的同时对有效波的影响。

For the random noise suppressing in engineering seismic exploration,in this paper,a new method of de-noise in curvelet domain with non-linear thresholding is proposed.We apply the first order detail of curvelet to estimate the noise variance and get a good result for the noise estimate.The applications on both synthetic data and actual seismic data of Taishan nuclear power station show that the new method eliminates the noise portion more efficiently and retains a greater number of geologic data,and it overcomes the drawback that the conventional filtering approach may affect the effective wave when suppressing noise.