geophysics-opensource,github

52things

52 Things You Should Know About Geocomputing

adcme.jl

Automatic Differentiation Library for Computational and Mathematical Engineering

awesome-open-geoscience

Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome

cuQRTM is a CUDA-based code package that implements Q-RTMs based on a set of stable and efficient strategies, such as streamed CUFFT, checkpointing-assisted time-reversal reconstruction (CATRC) and adaptive stabilization.

cutlass

CUDA Templates for Linear Algebra Subroutines

deepwave

Wave propagation modules for PyTorch.

devito

Code generation framework for automated finite difference computation

docs

additional documents like presentations, posters and workshop material

fast

End-to-end earthquake detection pipeline via efficient time series similarity search

fatiando

Python toolkit for modeling and inversion in geophysics

figs

Figures from reproducible computational experiments

fwi-using-temporal-fourth-fd-modelling

These codes are used to complete elastic full waveform inversion using temporal fourth-order FD modelling. In order to accelete the algorith, GPU-based versions are privided here. What's more, the GPU shared memory is used in block level and the efficiency improvement is about 10%~15% on GTX 750ti, where efficiency improvement is dependent on the length of FD orders.

fwiflow.jl

Elastic Full Waveform Inversion for subsurface flow problems with intelligent automatic differentiation

gan_for_gradient_based_inv

Gradient-based deterministic inversion in the latent space of a GAN for a linear geophysical problem

geomodeling_conditional_progan

Directly Conditional Facies Modeling Using an Improved Progressive Growing of Generative Adversarial Networks (GANs)

geomodeling_conditional_to_probability_maps_plus

The second repository (GeoModeling_Conditional_ProGAN) is used for conditioning to well data and global features. This repository is for conditioning to geophysics-interpreted probability maps alone and together with well data and global features.