Seismic Data Deblended with Curvelet-Based Multi-level Texture Perception and Regularization

Blended noise is coherent noise introduced during the simultaneous acquisition of multiple seismic sources. Due to its similar time-distance curve characteristics with effective waves in seismic records, suppressing blended noise poses great challenges. To address this problem, we propose a curvelet-transform-based method incorporating multi-level texture perception and regularization. Seismic data are first transformed into the curvelet domain to extract structural information and enhance the p