DSL and compiler framework for automated finite-differences and stencil computation
Julia Devito inversion.
An Automatic Differentiation-based Waveform Inversion Framework Implemented in PyTorch.
Elastic Full Waveform Inversion for Subsurface Flow Problems Using Intrusive Automatic Differentiation
PGNN-FWI: performing physics-guided neural network for FWI
Wave propagators for seismic domains with application to full waveform inversion.
This repository is for PyFWI, a Python package for seismic FWI and reservoir monitoring (time-lapse FWI)
FWIGAN: Full-Waveform Inversion with Deep Adversarial Learning
FWI examples with constraints.
Memory efficient seismic inversion via trace estimation
Official reproducible material for Enhancing multiparameter elastic full-waveform inversion with a Siamese network
Official reproducible material for F-SiameseFWI: A Novel Deep Learning Framework for Multi-Source Full Wave Inversion
Finite Element Method High-Performance Acoustic Simulation
Add a description, image, and links to the fwi topic page so that developers can more easily learn about it.
To associate your repository with the fwi topic, visit your repo's landing page and select "manage topics."