slimgroup/FNO4CO2
Learned coupled inversion for carbon sequestration monitoring and forecasting with Fourier neural operators
This project helps geoscientists and carbon capture operators predict and monitor CO2 movement in underground sequestration sites. By inputting geological data like subsurface permeability, it forecasts how CO2 concentration will change over time. It can also reverse the process, using time-lapse seismic data to estimate the subsurface permeability.
No commits in the last 6 months.
Use this if you need to simulate and forecast CO2 plume migration in geological storage or invert seismic data to understand subsurface rock properties affecting flow.
Not ideal if you are not working with geological carbon sequestration or require a general-purpose fluid dynamics simulator outside of this specific application.
Stars
23
Forks
6
Language
Julia
License
MIT
Category
Last pushed
Sep 25, 2024
Commits (30d)
0
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