Simultaneous Deghosting Framework for Virtual-Shot Gathers Based on Advanced RED Inversion
Bin Xing Hu, Junming Zhang, Xiangbo Gong, Guangshuai Peng · IEEE Transactions on Geoscience and Remote Sensing · 2025
This study addresses the challenges in seismic interferometry (SI), particularly the deghosting of virtual-shot gathers affected by nonphysical reflections in marine seismic exploration. SI’s effectiveness largely depends on the distribution of seismic sources, which in field situations often leads to complex wavefield interactions and nonphysical reflections, adversely impacting data processing. Traditional methods are limited with these nonphysical reflections, and similarity-based approaches have shown potential in overcoming this challenge. In this paper, our study introduces an innovative deghosting framework based on Regularization by Denoising (RED). This approach effectively mitigates the influence of nonphysical reflections and enhances the accuracy of deghosting. We propose a simultaneous multi-shot deghosting framework that integrates RED, focusing on optimizing data similarity and computational efficiency. This is complemented by a novel denoising engine based on an enhanced BM3D method, specifically tailored for virtual-shot gathers. The efficacy of our framework is demonstrated through synthetic and field data, showcasing significant improvements in seismic data processing and offering a new paradigm for the application of seismic interferometry. This research contributes not only to the advancement of deghosting techniques but also to broadening the scope of seismic exploration.