fwi

DSL and compiler framework for automated finite-differences and stencil computation

An Automatic Differentiation-based Waveform Inversion Framework Implemented in PyTorch.

Julia Devito inversion.

This repository is for PyFWI, a Python package for seismic FWI and reservoir monitoring (time-lapse FWI)

Elastic Full-Waveform Inversion Integrated with PyTorch

PGNN-FWI: performing physics-guided neural network for FWI

Wave propagators for seismic domains with application to full waveform inversion.

Elastic Full Waveform Inversion for Subsurface Flow Problems Using Intrusive Automatic Differentiation

Set of seismic modeling and inversion examples using Devito for different wave equations.

RTM

FWIGAN: Full-Waveform Inversion with Deep Adversarial Learning

FWI and FBP components of CFFDRS in R

Elastic Full Waveform Inversion using GAN and FNO as Wave Solver

Reproducible 2-D acoustic Full Waveform Inversion (FWI) on the Marmousi benchmark model using Deepwave and PyTorch automatic differentiation

Finite Element Method High-Performance Acoustic Simulation

Python modules to generate fire weather variables with the Canadian Forest Fire Weather Index System, and model fire behavior with the Canadian Forest Fire Behavior Prediction System

Official reproducible material for Enhancing multiparameter elastic full-waveform inversion with a Siamese network

2D full-waveform inversion (FWI) in PyTorch: frequency-domain acoustic Helmholtz solvers, PML/free surface, multiscale inversion, Hessian uncertainty, and Marmousi tutorials.

A demo of 2D/3D RTM and FWI with high performance GPU acceleration

Memory efficient seismic inversion via trace estimation