Session: ML for Seismic Domain II

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:

  • be invited to submit a paper for one of EAGE’s journals
  • be invited to participate in the Distinguished Lecturer programme
  • be invited to record an a-lecture
  • be part of a ‘Best of’ exchange with another event or association
  • be invited to become EAGE’s instructor

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