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Deep Imaging Group
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Publications

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A hybrid approach to seismic deblending: when physics meets self-supervision
Preprint Year: 2022
Authors: Nick Luiken, Matteo Ravasi, Claire Birnie
  • Seismic
  • Deep Learning
Deep Preconditioners and their application to seismic wavefield processing
Paper Year: 2022
Authors: Matteo Ravasi
  • Seismic
  • Deep Learning
Posterior sampling with CNN-based, Plug-and-Play regularization with applications to Post-Stack Seismic Inversion
Preprint Year: 2023
Authors: Muhammad Izzatullah, Tariq Alkhalifah, Juan Romero, Miguel Corrales, Nick Luiken, Matteo Ravasi
  • Seismic
  • Inverse Problems
Target-enclosing inversion using an interferometric objective function
Paper Year: 2023
Authors: Polina Zheglova, Matteo Ravasi, Ivan Vasconcelos, Alison Malcolm
  • Seismic
  • FWI
  • Inverse Problems
Seeing through the CO2 plume: joint inversion-segmentation of the Sleipner 4D Seismic Dataset
Preprint Year: 2023
Authors: Juan Romero, Nick Luiken, Matteo Ravasi
  • Seismic
  • Inverse Problems
Why POCS works, and how to make it better
Preprint Year: 2023
Authors: Matteo Ravasi, Nick Luiken
  • Seismic
  • Inverse Problems
Accelerating Seismic Redatuming Using Tile Low-Rank Approximations on NEC SX-Aurora TSUBASA
Paper Year: 2021
Authors: Yuxi Hong, Hatem Ltaief, Matteo Ravasi, Laurent Gatineau, David Keyes
  • HPC
  • Seismic
Time-Domain Multidimensional Deconvolution: A Physically Reliable and Stable Preconditioned Implementation
Paper Year: 2021
Authors: David Vargas, Ivan Vasconcelos, Matteo Ravasi, Nick Luiken
  • Interferometry
  • Inverse Problems
Closed-aperture unbounded acoustics experimentation using multidimensional deconvolution
Paper Year: 2021
Authors: Xun Li, Theodor Becker, Matteo Ravasi, Johan Robertsson, Dirk-Jan van Manen
On the implementation of large-scale integral operators with modern HPC solutions - Application to 3D Marchenko imaging by least-squares inversion
Preprint Year: 2020
Authors: Matteo Ravasi, Ivan Vasconcelos
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