Contourlet域相关和阈值衰减联合去噪方法及其在地震资料处理中的应用
Joint Denoising of Correlation and Thresholding in Contourlet Domain and Its Application to Seismic Data
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摘要: 针对常规方法不能很好地压制复杂地质条件下的低信噪比地震记录中的随机噪声的问题,提出了Contourlet域相关和阈值衰减联合去噪方法(CTCT)。首先,采用Contourlet分解地震资料,对得到的尺度-方向分量进行倾角扫描,通过相关叠加压制随机噪声;然后,对相干加强处理后的剩余随机噪声采用非线性阈值进一步衰减。模型算例及实例结果表明,此方法压制随机干扰的效果要优于传统方法,一定程度上改善了常规滤波方法在压制噪声时对有效波的影响。Abstract: For the question that traditional methods can not perfectly denoise for the low signal to noise ratio of seismic records in complex geological conditions,we propose the joint denoising method based on correlation and thresholding in Contourlet domain.Contourlet transform(CT) is firstly applied to decompose seismic data.We do dip scanning for every scale-orientation component,suppress random noise by correlative stacking.Besides,we apply non-linear thresholding for the residual random noise to eliminate it thoroughly.Applications to both synthetic data and actual seismic data from Dabashan,South China,show that the new method eliminates the noise portion more efficiently and retains a greater amount of geologic data.