Date and time: 22 March, 11:10 – 12:30
Location: Main Stage
Use the links below to evaluate the talks:
| 1. Data-Centric, Interactive Deep Learning for Complex Geological Features: A Groningen Case Study presented by S. Salamoff Authors: S. Salamoff1, J. Chenin1, B. Lartigue1, P. Endresen1 (1 Bluware) |
| 2. Manual active learning for salt interpretation: an empirical study to avoid forgetting during incremental trainings presented by L. Evano Authors: L. Evano1, F. Cubizolle1 (1 ELIIS) |
| 3. Digital Core Based Pore Structure Characterization and Rock Physics Modeling of Carbonate Reservoir presented by B. Yan Authors: B. Yan1, J. Zhao1, B. Wang1, M. Ma1, Y. Sun1 (1 China University of Petroleum (Beijing)) |
| 4. Automating the interpretation of 715 000 drill cuttings samples with active learning presented by D. Evans Authors: D. Evans1, E. Larsen2 (1 Rockwash Geodata Ltd; 2 Earth Science Analytics) |
Speakers share their expertise and insight during the EAGE Digital 2023 programme. Would you help them by answering a few questions about their talks? Best evaluated talks can receive an increased exposure and recognition through the below:
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