DnCNN based noise attenuation from pre-stack and post-stack data
Unsupervised learning for noise attenuation
(Jun et al., 2021)
DnCNN-based network architecture (Jun et al., 2020)
Auto-encoder-based network architecture (Jun et al., 2022)
Time-lapse processing of post stack seismic data
Auto-encoding based network architecture
Data augmentation
Difference between baseline and moniter data (left: before applying CAE, right: after applying CAE) (Jun and Cho, 2022)