Deep Learning for Seismic Imaging and Interpretation
Deep-learning inversion: A next-generation seismic velocity model building method
Julia Devito inversion.
This repository is for PyFWI, a Python package for seismic FWI and reservoir monitoring (time-lapse FWI)
A python code for running VELEST (1D velocity calculation using travel time inversion)
Earthquake source parameters from P- and S-wave displacement spectra
Velocity model building by deep learning. Multi-CMP gathers are mapped into velocity logs.
Fast Marching (FM) method implementation in Matlab and C++
Codes related to the publication Gaussian mixture Markov chain Monte Carlo method for linear seismic inversion
A Julia Toolbox for Geophysical Modeling and Inverse Problems
FWIGAN: Full-Waveform Inversion with Deep Adversarial Learning
Plug and Play Post-Stack Seismic Inversion with CNN-based Denoisers
Multi-task learning for low-frequency extrapolation and elastic model building
Seismic inversion
Julia package to perform Kirchhoff migration and demigration
Geometric Inverse Problem using Parametric Level-Set
Seismic refraction - New implementation of the Sardine software
Seismic Velocity Modeling using Deep Transfer Learning
Adjoint-state based AVO Inversion Method
Image gather tools
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