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Found 2 papers, 1 papers with code
Automatic Velocity Picking Using a Multi-Information Fusion Deep Semantic Segmentation Network
In recent years, deep learning (DL) methods have produced good results on the seismic data with medium and high signal-to-noise ratios (SNR).
Automatic Stack Velocity Picking Using an Unsupervised Ensemble Learning Method
Seismic velocity picking algorithms that are both accurate and efficient can greatly speed up seismic data processing, with the primary approach being the use of velocity spectra.
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