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Generative Models by Stability AI
Generic cable class for Distributed Acoustic Sensing (DAS) data modeling (forward) and inversion (adjoint).
Implementations of various misfit functions in seismic literature
code for traditional method and fast method for double beamforming of ambient seismic noise, with example workflow on US Array data
A few short demos illustrating some properties of the Wasserstein-2 distance.
Multi-task learning for low-frequency extrapolation and elastic model building
Knowledge graph construction: Fast inserts into a Wikibase instance
Material for KAUST and Iraya's virtual summer school on Utilising unstructured data in geoscience.
Notebooks with examples and demos of segyio
A deep-learning based Bayesian approach to seismic imaging and uncertainty quantification by Siahkoohi, A., Rizzuti, G., and Herrmann, F.J.
Neural style transfer applied to elastic subsurface models [SEG19]. Visualized and explained.
Velocity model building by deep learning. Multi-CMP gathers are mapped into velocity logs.
Reproduced papers from the Reproducibility Zoo
Course material for the lecture "Theory of seismic waves II" (SS 2018) @ CAU Kiel
Helmholtz solver with 2nd order Clayton-Enquist boundary conditions + compared to analytics
Personal website of Oleg Ovcharenko
2D time-domain isotropic (visco)elastic FD modeling and full waveform inversion (FWI) code for P/SV-waves
3D seismic modelling, FWI and RTM code for wave propagation in isotropic (visco)-acoustic/elastic and anisotropic orthorhombic/triclinic elastic media
Wave3Dfd simulates forward wave propagation 4th-order in space using MPI-OpenMP and Adjoint formulation in time and frequency domain
Scattering of plane body waves on arbitrary anisotropic elastic perturbations mapped to wavenumber domain. Kazei & Alkhalifah, 2019 JGR
Acoustic wave propagation in 2D domain using CUDA, O(2,8). Solve second order wave equation in time domain using finite-differences.