Official reproducible material for SiameseFit: Latent Seismic Data Comparison for Enhanced Full Waveform Inversion and Cycle Skipping Mitigation - Omar M. Saad, and Tariq Alkhalifah

Project structure

This repository is organized as follows:

• 📂 asset: folder containing logo;
• 📂 data: folder containing Marmousi2 and overthrust models data;
• 📂 Model: containing Siamese network;
• 📂 deepwave-old: containing the old version of the DeepWave package.

Notebooks

The following notebooks are provided:

• 📙 SiameseFit_Flat_Marmousi2.ipynb: the main notebook performing the SiameseFit for Marmousi2 model (Flat initial model);
• 📙 SiameseFit_Constant_Marmousi2.ipynb: the main notebook performing the SiameseFit for Marmousi2 model (Constant initial model);
• 📙 SiameseFit_Flat_Overthrust.ipynb: the main notebook performing the SiameseFit for the Overthrust model (Flat initial model);
• 📙 SiameseFit_Constant_Overthrust.ipynb: the main notebook performing the SiameseFit for the Overthrust model (Constant initial model);
• 📙 SiameseFit_MultiSource_Marmousi2.ipynb: the main notebook performing the SiameseFit for Marmousi2 model (Multi-Source FWI);

Getting started 👾 🤖

• To ensure the reproducibility of the results, we suggest using the FWIGAN.yml file when creating an environment.
• Please install deepwave 0.0.8 version, which is used in this project.

Run:

./install_env.sh

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

Remember to always activate the environment by typing:

conda activate FWIGAN

To install the old version of the DeepWave package, navigate to the "deepwave-old" folder, and run:

cd ./deepwave-old/
python setup.py install

Disclaimer: All experiments have been carried on a Intel(R) Xeon(R) CPU @ 2.10GHz equipped with a single NVIDIA GEForce RTX A6000 GPU. Different environment configurations may be required for different combinations of workstation and GPU.