47 citations · 60 across the 3 of their papers we have counts for
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physics.geo-ph2021★ 4 cited
Active learning for seismic processing parameterisation, with an application to first break picking
Alan Richardson
Parameter values for seismic processing steps are often chosen on a regular grid of samples and interpolated. Active learning instead attempts to optimally select the samples on wh…
physics.geo-ph2018
Generative Adversarial Networks for Model Order Reduction in Seismic Full-Waveform Inversion
Alan Richardson
I train a Generative Adversarial Network to produce realistic seismic wave speed models. I integrate the generator network into seismic Full-Waveform Inversion to reduce the number…
physics.geo-ph2018★ 47 cited
Seismic Full-Waveform Inversion Using Deep Learning Tools and Techniques
Alan Richardson
I demonstrate that the conventional seismic full-waveform inversion algorithm can be constructed as a recurrent neural network and so implemented using deep learning software such…