摘要：In offshore streamer seismic data processing, ghost wave suppression is a crucial step, as it not only enhances data resolution but also restores the signal’s frequency bandwidth. Recent advancements in artificial intelligence have demonstrated significant progress in intelligent suppression technologies for ghost waves within geophysical exploration. By introducing a quadratic convolution kernel, we propose the novel quadratic convolution attention-U-Net (QAU-Net) for ghost wave suppression, aiming to enhance the network’s fitting accuracy. In addition, we establish a curve function that simulates the shape changes of the streamer in the actual acquisition environment. The training dataset exhibits higher realism and more abundant ghost waves generated by shape-changing streamers. In the experimental validation phase, the proposed quadratic convolutional network demonstrates accelerated convergence rates and enhanced function approximation capabilities relative to conventional linear counterparts, as indicated by multiple evaluation metrics. This enhancement stems from the quadratic operations’ inherent nonlinear modeling superiority, which facilitates precise approximation of objective functions while maintaining the network’s structural configuration. Compared with the conventional horizontal streamer training dataset, the QAU-Net trained with the shape-changing streamer dataset is more inclusive to the shape changes of the streamer. The proposed method is also successfully applied to field data from the South China Sea, demonstrating that the solution has strong generalization capabilities. ? 1980-2012 IEEE.

ISSN号：0196-2892

卷、期、页：卷63

发表日期：2025-01-01

影响因子：0.000000

期刊分区（SCI为中科院分区）：一区

收录情况：SCI（科学引文索引印刷版）,EI（工程索引）,SCIE（科学引文索引网络版）

发表期刊名称：IEEE Transactions on Geoscience and Remote Sensing

参与作者：陈兆明,刘灵

通讯作者：保定君

第一作者：陈双全,王国权

论文类型：期刊论文

论文概要：保定君,陈双全,王国权,陈兆明,刘灵，Intelligent Ghost Wave Suppression Based on Quadratic Convolution Kernel and Attention Mechanism，IEEE Transactions on Geoscience and Remote Sensing，2025，卷63

论文题目：Intelligent Ghost Wave Suppression Based on Quadratic Convolution Kernel and Attention Mechanism