GeoLG-3DFaultNet
Labels fault surfaces voxel by voxel within a 3D seismic reflection volume.
- Field
- Geophysics
- Method
- Deep learning
- Data it takes
- volume
- License
- MIT
Fault interpretation in 3D seismic volumes is normally manual and slow. This classifies each voxel as fault or not, producing a fault probability volume that an interpreter can work from.
It fills a capability gap: nothing else in this catalog reads 3D seismic volumes.
Treat it as an evaluation candidate rather than an established tool. The method rests on a manuscript whose publication status we have not been able to confirm, so results should be checked against interpretation you trust before being relied on.
Catalog entry last checked 2026-08-19. All models →
Run GeoLG-3DFaultNet on your data
The lab runs this on its own compute, in a container, with the inputs and parameters recorded alongside the result. Initial scoping conversations are free.
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