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针对面波能量强、频率低、视速度低等特点,本文提出了基于第二代Curvelet变换的多尺度、多方向分解的面波压制方法,充分利用Curvelet变换的多尺度、多方向功能,分离出含有面波的尺度和方向然后利用面波与有效波在Curvelet域基本不重叠的特性,进行信噪分离处理。这种方法在实际叠前地震数据的处理中,能够有效压制面波,同时较好地保护有效反射波,特别是反射波的低频分量。文中提出的基于第二代Curvelet变换的去面波方法是一种较好的保幅去噪方法。
Aiming at the characteristics of strong surface wave energy, low frequency and low apparent velocity, this paper proposes a multi-scale and multi-directional surface wave suppression method based on the second generation Curvelet transform. It makes full use of the multi-scale and multi-directional functions of Curvelet transform and separates Out of the scale and direction of the surface wave and then use the characteristics of surface wave and effective wave basically do not overlap in the Curvelet domain, the signal-to-noise separation processing. This method can effectively suppress the surface waves and effectively protect the effective reflected waves, especially the low-frequency components of the reflected waves, during the actual pre-stack seismic data processing. The proposed method based on the second generation Curvelet transform is a better amplitude-preserving denoising method.