publications

Here you can find a list of my publications. I hope you enjoy it.

2022

  1. Posterior sampling with CNN-based, Plug-and-Play regularization with applications to Post-Stack Seismic Inversion
    Muhammad Izzatullah, Tariq Alkhalifah, Juan Romero, Miguel Corrales, Nick Luiken, and Matteo Ravasi
    arXiv preprint arXiv:2212.14595 2022
  2. A Wasserstein GAN with Gradient Penalty for 3D Porous Media Generation.
    M. Corrales, M. Izzatullah, H. Hoteit, and M. Ravasi
    Nov 2022
  3. Plug and Play Post-Stack Seismic Inversion with CNN-Based Denoisers
    J. Romero, M. Corrales, N. Luiken, and M. Ravasi
    Nov 2022
  4. Bayesian RockAVO: Direct petrophysical inversion with hierarchical conditional GANs
    M. Corrales, M. Izzatullah, M. Ravasi, and H. Hoteit
    Aug 2022
  5. Data-Driven, Direct Rock-Physics Inversion of Pre-Stack Seismic Data
    M. Corrales, M. Ravasi, and H. Hoteit
    Jun 2022
  6. The Potential for Underground CO2 Disposal Near Riyadh
    M. Corrales, S. Mantilla, A. Tasianas, H. Hoteit, and A. Afifi
    Feb 2022

2023

  1. A field data application of RockAVO: Data-driven, direct petrophysical inversion of prestack seismic data
    Miguel Corrales, Hussein Hoteit, and Matteo Ravasi
    In Third International Meeting for Applied Geoscience & Energy Feb 2023
  2. Plug-and-Play Stein variational gradient descent for Bayesian post-stack seismic inversion
    Muhammad Izzatullah, T Alkhalifah, J Romero, M Corrales, Nicolaas Luiken, and Matteo Ravasi
    In 84th EAGE Annual Conference & Exhibition Feb 2023
  3. Deep Learning to replace or augment model-based seismic inversion?
    Matteo Ravasi, Nick Luiken, Juan Romero, and Miguel Corrales
    In 84th EAGE Annual Conference & exhibition Feb 2023
  4. Striking a balance: Seismic inversion with model-and data-driven priors
    Matteo Ravasi, Juan Romero, Miguel Corrales, Nick Luiken, and Claire Birnie
    Feb 2023

2024

  1. Annealed Stein Variational Gradient Descent for Improved Uncertainty Estimation in Full-Waveform Inversion
    Miguel Corrales, Sean Berti, Bertrand Denel, Paul Williamson, Mattia Aleardi, and Matteo Ravasi
    arXiv preprint arXiv:2410.13249 Feb 2024
  2. Regularization strategies for Seis2Rock-based petrophysical inversion of prestack seismic data
    Miguel Corrales, Juan Romero, Nick Luiken, Hussein Hoteit, and Matteo Ravasi
    In Fourth International Meeting for Applied Geoscience & Energy Feb 2024
  3. Plug-and-Play regularized 3D seismic inversion with 2D pre-trained denoisers
    Nick Luiken, and M Ravasi
    In 85th EAGE Annual Conference & Exhibition (including the Workshop Programme) Feb 2024
  4. Posterior sampling with convolutional neural network-based plug-and-play regularization with applications to poststack seismic inversion
    Muhammad Izzatullah, Tariq Alkhalifah, Juan Romero, Miguel Corrales, Nick Luiken, and Matteo Ravasi
    Geophysics Feb 2024
  5. Seis2rock: A data-driven approach to direct petrophysical inversion of pre-stack seismic data: Earth and Space Science
    M Corrales, H Hoteit, and M Ravasi
    Feb 2024

2025