82 citations · 157 across the 5 of their papers we have counts for
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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…
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…
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…
Space-Varying Iterative Restoration of 2-D Inversion Models Computed from Marine CSEM Data
Feng-Ping Li, Vemund Stenbekk Thorkildsen, Leiv-J Gelius +1
Marine Controlled Source Electromagnetic (CSEM) is employed both in large-scale geophysical applications as well as within exploration of hydrocarbons and gas hydrates. Due to the…
3D Prestack Fourier Mixed-Domain (FMD) depth migration for VTI media with large lateral contrasts
Hao Zhao, Leiv J. Gelius, Martin Tygel +2
Although many 3D One-Way Wave-equation Migration (OWEM) methods exist for VTI media, most of them struggle either with the stability, the anisotropic noise or the computational cos…