In order to remove a large amount of complex noise from seismic data, in this paper, the robust principal component analysis method of mixed Gaussian model is applied to the denoising model (MOGRPCA) of seismic data for the first time. A hybrid Gaussian distribution is used to model the noise, and a robust principal component RPCA method is applied to denoising seismic data. The denoising results of synthetic seismic data and real seismic data are compared with similar methods. The experimental results show that this model has high accuracy for seismic data processing and interpretation.