82 citations · 157 across the 5 of their papers we have counts for
Showing 2024Show all
3 papers · 1 filter
physics.geo-ph2024★ 15 cited
Deep learning-based shot-domain seismic deblending
Jing Sun, Song Hou, Vetle Vinje +2
To streamline fast-track processing of large data volumes, we have developed a deep learning approach to deblend seismic data in the shot domain based on a practical strategy for g…
physics.geo-ph2024★ 82 cited
A convolutional neural network approach to deblending seismic data
Jing Sun, Sigmund Slang, Thomas Elboth +3
For economic and efficiency reasons, blended acquisition of seismic data is becoming more and more commonplace. Seismic deblending methods are always computationally demanding and…
physics.geo-ph2024★ 58 cited
Attenuation of marine seismic interference noise employing a customized U-Net
Jing Sun, Sigmund Slang, Thomas Elboth +3
Marine seismic interference noise occurs when energy from nearby marine seismic source vessels is recorded during a seismic survey. Such noise tends to be well preserved over large…