Machine learning to estimate fault density in overburden - a puzzle piece in de-risking of CO2 storage
Category
Poster
Client
- Research Council of Norway (RCN) / 257579
- EC/H2020 / 101007851
Language
English
Author(s)
- Ane Elisabet Lothe
- Julian Gomez
Affiliation
- SINTEF Industry / Applied Geoscience
- Unknown
Presented at
Trondheim Carbon & Storage Conference
Place
Trondheim
Date
19.06.2023 - 21.06.2023
Organizer
SINTEF