FWIGAN: Full-Waveform Inversion with Deep Adversarial Learning
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Updated
Oct 18, 2026 - Python
FWIGAN: Full-Waveform Inversion with Deep Adversarial Learning
Reproducible 2-D acoustic Full Waveform Inversion (FWI) on the Marmousi benchmark model using Deepwave and PyTorch automatic differentiation
Desenvolvimento de ferramenta para efetuar a Modelagem e a Migração Sísmica de um modelo 2D.
Open-source Python toolkit for seismic processing and imaging: semblance velocity analysis, NMO correction, stacking, and post-stack migration (Stolt f-k and Gazdag phase-shift). Validated against synthetic ground truth and ready for the Marmousi model.
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