DSL and compiler framework for automated finite-differences and stencil computation
-
Updated
Nov 18, 2024 - Python
DSL and compiler framework for automated finite-differences and stencil computation
Julia Devito inversion.
This repository is for PyFWI, a Python package for seismic FWI and reservoir monitoring (time-lapse FWI)
An Automatic Differentiation-based Waveform Inversion Framework Implemented in 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
FWIGAN: Full-Waveform Inversion with Deep Adversarial Learning
Memory efficient seismic inversion via trace estimation
Finite Element Method High-Performance Acoustic Simulation
FWI examples with constraints.
ArcGIS Toolbox for Fire Danger Rating System based on the Canadian Forest Fire Weather Index System
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."