no code implementations • 17 Dec 2023 • Juan Romero, Wolfgang Heidrich, Nick Luiken, Matteo Ravasi
Seismic imaging is the numerical process of creating a volumetric representation of the subsurface geological structures from elastic waves recorded at the surface of the Earth.
no code implementations • 13 Jul 2023 • Claire Birnie, Matteo Ravasi
The presence of coherent noise in seismic data leads to errors and uncertainties, and as such it is paramount to suppress noise as early and efficiently as possible.
no code implementations • 25 May 2023 • Francesco Brandolin, Matteo Ravasi, Tariq Alkhalifah
Interpolation of aliased seismic data constitutes a key step in a seismic processing workflow to obtain high quality velocity models and seismic images.
no code implementations • 30 Dec 2022 • Muhammad Izzatullah, Tariq Alkhalifah, Juan Romero, Miguel Corrales, Nick Luiken, Matteo Ravasi
However, selecting appropriate prior information in a probabilistic inversion is crucial, yet non-trivial, as it influences the ability of a sampling-based inference in providing geological realism in the posterior samples.
no code implementations • 20 Jul 2022 • Matteo Ravasi
Seismic data processing heavily relies on the solution of physics-driven inverse problems.
no code implementations • 30 May 2022 • Nick Luiken, Matteo Ravasi, Claire E. Birnie
Compressed sensing type regularization is then applied, where sparsity in some domain is assumed for the signal of interest.
no code implementations • 15 Sep 2021 • Claire Birnie, Matteo Ravasi, Tariq Alkhalifah, Sixiu Liu
Illustrated on synthetic examples, the blind-spot network is shown to be an efficient denoiser of seismic data contaminated by random noise with minimal damage to the signal; therefore, providing improvements in both the image domain and down-the-line tasks, such as inversion.
1 code implementation • 29 Jul 2019 • Matteo Ravasi, Ivan Vasconcelos
Linear operators and optimisation are at the core of many algorithms used in signal and image processing, remote sensing, and inverse problems.
Mathematical Software