Self-supervised learning for random noise suppression in seismic data
Author:
Affiliation:
1. King Abdullah University of Science and Technology (KAUST)
Publisher
Society of Exploration Geophysicists
Link
https://library.seg.org/doi/pdf/10.1190/segam2021-3583248.1
Reference14 articles.
1. Analysis and models of pre-injection surface seismic array noise recorded at the Aquistore carbon storage site
2. Removing Structured Noise with Self-Supervised Blind-Spot Networks
3. Random noise reduction
4. Seismic ground‐roll noise attenuation using deep learning
5. Noise2Void - Learning Denoising From Single Noisy Images
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