【摘要】 传统变分模态分解(VMD)方法地震资料去噪效果受惩罚参数α和模态分量个数K影响较大，为了更加有效地抑制噪声对地震资料的影响，这里提出了遗传算法改进的VMD(GA-VMD)与匹配追踪(MP)相结合的地震资料去噪方法。该方法与MP及遗传算法相结合，在有效提取地震资料信息同时，能够自适应选择VMD的决定参数[K,α],使去噪效果达到最佳。将本方法应用于模拟地震信号和实际地震资料去噪，并与传统VMD方法和MP去噪方法对比。数据仿真与实验结果表明，在原始信号信噪比为3.11 dB时，传统方法和本文方法去噪后信号信噪比分别为6.29 dB与9.43 dB,本文方法在不损失有效信号的同时，具有更好的去噪效果。更多还原

【Abstract】 Penalized parameters of seismic data denoising effect of traditional VMD method α In order to suppress the influence of noise on seismic data more effectively, a seismic data denoising method combining MP and genetic algorithm improved VMD(GA-VMD) is proposed. Combined with MP and genetic algorithm, this method can effectively extract seismic data information and adaptively select the decision parameters of VMD [K, α]; this method is applied to denoise simulated seismic signals and actual seismic data and compared with traditional VMD method and MP denoising method. The data simulation and experimental results show that when the signal-to-noise ratio of the original signal is 3.11db, the signal-to-noise ratios of the traditional method and the proposed method are 6.29db and 9.43db, respectively. The proposed method has a better denoising effect without losing the effective signal.更多还原