most citedA convolutional neural network approach to deblending seismic data

82 citations

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3 papers

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…

physics.geo-ph2019★ 2 cited

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…