Course materials for the Seismic Imaging course (2025 Edition) taught by Professor Nicola Bienati at the University of Pisa for the MSc. In Exploration and Applied Geophysics

This is a computational exercise for a practical application of FWI highlighting the importance of the frequency infromation when performing FWI. Developed by Felipe Rincón at University of Pisa, Italy.

If you have any questions, please contact Felipe by email: felipe.rincon@phd.unipi.it

This repository contains four Jupyter notebooks and a utility functions file:

• Notebook 1: Demonstrates the sensitivity kernel in full waveform inversion using both low- and high-frequency seismic data.
• Notebook 2: Compares the behavior of the objective function when using low versus high frequencies.
• Notebook 3: Performs FWI using low frequencies, high frequencies, and a multiscale approach that combines both.
• Notebook 4: Performs also a FWI but with a circle anomaly instead of a gaussian.

Felipe Rincón

Italy, 05.05.2025

Installation steps are taken from the Devito repository. Please check the official page for alternative ways to install Devito.

The easiest way to try Devito is through Docker using the following commands:

# get the code
git clone https://github.com/devitocodes/devito.git
cd devito

# start a jupyter notebook server on port 8888
docker-compose up devito

After running the last command above, the terminal will display a URL such as https://127.0.0.1:8888/?token=XXX. Copy-paste this URL into a browser window to start a Jupyter notebook.

See here for detailed installation instructions and other options.

# get the code
git clone https://github.com/lfrincond/seismic_imaging25.git
cd seismic_imaging25