15 citations
- Petroleum Geo-Services (Norway)NO2 papers
- University of OsloNO2 papers
- California Institute of TechnologyUS1 paper
- General Electric (Norway)NO1 paper
- GGG (France)FR1 paper
- Institut de Mathématiques de BordeauxFR1 paper
- Institute of AstronomyRU1 paper
- King Abdulaziz UniversitySA1 paper
- Leiden UniversityNL1 paper
- Queen Mary University of LondonGB1 paper
- University of CambridgeGB1 paper
- University of PortsmouthGB1 paper
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★ 1 cited
DNN-based workflow for attenuating seismic interference noise and its application to marine towed streamer data from the Northern Viking Graben
Jing Sun, Song Hou, Alaa Triki
To separate seismic interference (SI) noise while ensuring high signal fidelity, we propose a deep neural network (DNN)-based workflow applied to common shot gathers (CSGs). In our…
astro-ph.GA2024★ 4 cited
Influence of selection criteria on the interpretation of rotational behaviour of wide-binary star systems
Stephen Cookson
Binary star systems are expected to follow Newtonian dynamics similarly to planetary systems. However, reports have been made of wide binary systems with separations around 0.01 pc…