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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)

Affiliation

  • SINTEF Industry / Applied Geoscience
  • Unknown

Presented at

Trondheim Carbon & Storage Conference

Place

Trondheim

Date

19.06.2023 - 21.06.2023

Organizer

SINTEF

Year

2023

View this publication at Cristin