Felipe Rincón

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This is a computational exercise of multiscale FWI and RTM using synthetic data.

Graduate seismic imaging course materials with Jupyter notebooks and Python code teaching Full Waveform Inversion and Reverse Time Migration techniques for reconstructing subsurface structures from seismic data.

This is a computational exercise for a practical application of FWI and RTM using synthetic data.

FWI with implicit neural reparametrisation: SIREN learns the velocity model, Devito computes the wave physics

This repository implements data-driven surrogate models for the one-dimensional elastic wave equation, designed to rapidly approximate frequency-domain seismic responses from spatially distributed material properties.

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