Seismic Imaging 24 Edition

Course materials for the Seismic Imaging course (2024 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 and RTM using synthetic data. Developed by Felipe Rincón at University of Pisa, Italy.

If you have any questions, please contact Felipe by email: [email protected]

This repository contains:

• A jupyter notebook with all the scripts and user functions to analyze the results.
• A synthetic velocity model in .npy format.

Felipe Rincón

Italy, 30.04.2024

Installation

Step 1: Install Devito

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.

Step 2: Download the scripts

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

Use this exercise to understand some basic concepts behind FWI and RTM