benchmaru
A comparative study between deep learning models applied in seismic inversion.

Marmousi2 MAT file can be downloaded using:
wget -P data/raw https://www.dropbox.com/s/3kgi0l2vl94a1mt/MarmousiModel2.mat

Volve data and code adapted from this source:
https://github.com/vishaldas/CNN_based_impedance_inversion

WGAN-GP implementation based on the informations provided by:
Wu, B.; Meng, D.; Zhao, H. Semi-Supervised Learning for Seismic Impedance
Inversion Using Generative Adversarial Networks. Remote Sens. 2021, 13, 909.
https://doi.org/10.3390/rs13050909

Paper reference:
Marques, C.R.; dos Santos, V.G.; Lunelli, R.; Roisenberg, M.; Rodrigues, B.B.
Analysis of Deep Learning Neural Networks for Seismic Impedance Inversion: A
Benchmark Study. Energies 2022, 15, 7452. https://doi.org/10.3390/en15207452