Restructuring deep learning for sustainable subsurface data analysis
Contact person: Anita Torabi
Keywords: supervised machine learning, 1D and 3D deep learning, automatic seismic interpretation, transfer learning, pretrained deep learning models
Research group: Sedimentary Basins
Department of Geosciences
Understanding geological heterogeneities that result from geological structures are important research areas for many applications such as CO2 storage underground; geothermal energy management; and geological hazard studies. The application of De