Reproducible 2-D acoustic Full Waveform Inversion (FWI) on the Marmousi benchmark model using Deepwave and PyTorch automatic differentiation
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Updated
Feb 2, 2026 - Jupyter Notebook
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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