Prestack Surface Multiple Suppression Method Based on Matching Algorithm with Unsupervised Neural Network
To effectively suppress surface multiples in marine seismic data and then correctly image the exploration target,a prestack surface multiple attenuation algorithm based on unsupervised neural networks is proposed,which combines neural network methods with surface-related multiple elimination(SRME)methods.By continuously decreasing the learning rate,the unsupervised neural network replaces the matching filter operator for suppressing surface multiples in the prestack seismic data.This method requires neither traditional matching algorithms nor training on labeled datasets.The application of simple synthetic data,Sigsbee model data and field data verifies the effectiveness of the proposed method for surface multiple wave suppression.
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