Self-Supervised Pre-Training Transformer for Seismic Data Denoising

• Published in: IEEE transactions on geoscience and remote sensing p. 1
• Main Authors: Wang, Hongzhou, Lin, Jun, Li, Yue, Dong, Xintong, Tong, Xunqian, Lu, Shaoping
• Format: Journal Article
• Language: English
• Published: IEEE 20.02.2024
• Subjects: Convolution; Convolutional Neural Network (CNN); Convolutional neural networks; Data models; Deep learning; Feature extraction; Noise reduction; Seismic data denoising; Transformer; Transformers; Transforms

Seismic exploration is a crucial method for studying underground geological structures and oil/gas resources. However, the presence of various noise sources during seismic wave propagation hinders accurate interpretation and imaging. To address this challenge, effective denoising methods are essenti...