DeepWave-KAUST/Siamese_FWI-pub
Official reproducible material for SiameseFWI: A Deep Learning Network for Enhanced Full Waveform Inversion
This project helps geophysicists, seismologists, or oil and gas exploration teams improve their understanding of subsurface geological structures. It takes seismic wavefield data and an initial geological velocity model, then applies a deep learning network to produce a more accurate, reconstructed velocity model. This allows for better imaging of the Earth's interior.
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Use this if you are performing full waveform inversion and need to enhance the accuracy of your subsurface velocity models using deep learning techniques.
Not ideal if you lack access to GPU resources or are not working with seismic data and geological modeling.
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Jupyter Notebook
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MIT
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Oct 08, 2025
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