slimgroup/GCS-CAM

Derisking geological carbon storage from high-resolution time-lapse seismic to explainable leakage detection

28
/ 100
Experimental

This project helps geologists and engineers monitor geological carbon storage (GCS) sites for potential CO2 leaks. It takes high-resolution time-lapse seismic data and identifies leakage points through advanced imaging and deep learning. Geoscientists, environmental engineers, and GCS site operators would use this to ensure the long-term safety and integrity of CO2 sequestration.

No commits in the last 6 months.

Use this if you need to analyze time-lapse seismic surveys to detect and explain potential CO2 leakage at geological carbon storage sites.

Not ideal if you are looking for a general-purpose seismic interpretation tool or a real-time monitoring solution without seismic input.

carbon-capture geological-storage seismic-monitoring CO2-leakage-detection subsurface-risk-assessment
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 7 / 25

How are scores calculated?

Stars

10

Forks

1

Language

Jupyter Notebook

License

MIT

Last pushed

Oct 26, 2023

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/slimgroup/GCS-CAM"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.