27 citations · 48 across the 11 of their papers we have counts for
3 papers · 1 filter
The potential of self-supervised networks for random noise suppression in seismic data
Claire Birnie, Matteo Ravasi, Tariq Alkhalifah +1
Noise suppression is an essential step in any seismic processing workflow. A portion of this noise, particularly in land datasets, presents itself as random noise. In recent years,…
An introduction to distributed training of deep neural networks for segmentation tasks with large seismic datasets
Claire Birnie, Haithem Jarraya, Fredrik Hansteen
Deep learning applications are drastically progressing in seismic processing and interpretation tasks. However, the majority of approaches subsample data volumes and restrict model…
A Joint Inversion-Segmentation approach to Assisted Seismic Interpretation
Matteo Ravasi, Claire Emma Birnie
Structural seismic interpretation and quantitative characterization are historically intertwined processes. The latter provides estimates of properties of the subsurface which can…