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Seismic data denoising and deblending using deep learning
An important step of seismic data processing is removing noise, including interference due to simultaneous and blended sources, from the recorded data.
Generative Adversarial Networks for Model Order Reduction in Seismic Full-Waveform Inversion
I train a Generative Adversarial Network to produce realistic seismic wave speed models.
Geophysics Computational Physics
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