27 citations · 48 across the 11 of their papers we have counts for
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physics.geo-ph2022★ 1 cited
Transfer learning for self-supervised, blind-spot seismic denoising
Claire Birnie, Tariq Alkhalifah
Noise in seismic data arises from numerous sources and is continually evolving. The use of supervised deep learning procedures for denoising of seismic datasets often results in po…
physics.geo-ph2022★ 7 cited
Coherent noise suppression via a self-supervised blind-trace deep learning scheme
Sixiu Liu, Claire Birnie, Tariq Alkhalifah
Coherent noise regularly plagues seismic recordings, causing artefacts and uncertainties in products derived from down-the-line processing and imaging tasks. The outstanding capabi…
physics.geo-ph2022★ 9 cited
A hybrid approach to seismic deblending: when physics meets self-supervision
Nick Luiken, Matteo Ravasi, Claire E. Birnie
To limit the time, cost, and environmental impact associated with the acquisition of seismic data, in recent decades considerable effort has been put into so-called simultaneous sh…