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Found 8 papers, 1 papers with code
IntraSeismic: a coordinate-based learning approach to seismic inversion
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.
Explainable Artificial Intelligence driven mask design for self-supervised seismic denoising
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.
PINNslope: seismic data interpolation and local slope estimation with physics informed neural networks
Interpolation of aliased seismic data constitutes a key step in a seismic processing workflow to obtain high quality velocity models and seismic images.
Posterior sampling with CNN-based, Plug-and-Play regularization with applications to Post-Stack Seismic Inversion
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.
Deep Preconditioners and their application to seismic wavefield processing
Seismic data processing heavily relies on the solution of physics-driven inverse problems.
A hybrid approach to seismic deblending: when physics meets self-supervision
Compressed sensing type regularization is then applied, where sparsity in some domain is assumed for the signal of interest.
The potential of self-supervised networks for random noise suppression in seismic data
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.
PyLops -- A Linear-Operator Python Library for large scale optimization
Linear operators and optimisation are at the core of many algorithms used in signal and image processing, remote sensing, and inverse problems.
Mathematical Software
