Official reproducible material for Enhancing Multi-parameter Elastic Full Waveform Inversion with a Siamese Network - Omar M. Saad and Tariq Alkhalifah

Project structure

This repository is organized as follows:

• 📂 asset: folder containing logo;
• 📂 data: folder containing data;
• 📂 Model: folder containing the Siamese network;
• 📂 utils: folder containing the utilities;

Notebooks

The following notebooks are provided:

• 📙 ElasticSiameseFWI_SeamArid_NormalizedLoss.ipynb: notebook for ElasticSiameseFWI framework for Seam Arid model using normalized loss function;
• 📙 SiameseEFWI_SEAMArid_Normalize_Pressure.ipynb: notebook for ElasticSiameseFWI framework for Seam Arid (pressure component) model using normalized loss function;

Getting started 👾 🤖

To ensure the reproducibility of the results, we suggest using the environment.yml file when creating an environment.

Run:

./install_env.sh

It will take some time, if at the end you see the word Done! on your terminal you are ready to go.

Remember to always activate the environment by typing:

conda activate ElasticSiameseFWI

Disclaimer: All experiments have been carried on a Intel(R) Xeon(R) CPU @ 2.10GHz equipped with a single NVIDIA GEForce RTX 3090 GPU. Different environment configurations may be required for different combinations of workstation and GPU.

Cite us

@article{saad2025siamesefwi,
  title={Enhancing Multi-parameter Elastic Full Waveform Inversion with a Siamese Network},
  author={Saad, Omar M and Alkhalifah, Tariq},
  journal={The Leading Edge},
  volume={44},
  number={5},
  pages={416a1--416a10},
  year={2025},
  doi={doi.org/10.1190/tle44050416a1.1}, 
  publisher={Society of Exploration Geophysicists}
}