Practical introduction of AI and ML fundamentals for Offshore Wind Geoscience (DS)
Tracks
Offshore Wind
| Thursday, November 5, 2026 |
| 8:45 AM - 10:05 AM |
| Room B |
Details
TThis beginner-friendly session introduces the fundamentals of artificial intelligence (AI) and machine learning (ML) for offshore wind geoscience. It will provide an accessible overview of key methods, terminology, and simple workflows, supported by practical examples from applications such as seabed and subsurface characterisation. Participants will gain a foundational understanding of how AI tools can support geoscientific analysis and decision-making, and how to start engaging with these approaches in their own work.
The session will introduce:
- Some AI/ML basics for OW geoscientists
- Some typical workflows associated with various OW applications
- Some discussion about understanding models’ limitations, explainability and the
quantification of uncertainty.
Speaker
Mr Eric Joyce
Chief Data Officer
Ocean Geophysics
Advancing Marine Geophysics: The Machine Learning Opportunity
8:45 AM - 9:00 AM
Dr Benjamin Schwarz
Senior Scientist
Fraunhofer IWES
Two practical machine learning applications for offshore wind subsurface characterization
9:00 AM - 9:15 AM
Dr Alexander Bauer
Senior Researcher
Fraunhofer Institute for Wind Energy Systems IWES
A hands-on introduction to deep-learning diffraction separation
9:15 AM - 9:30 AMChair A
Gwenaëlle Salaün
Lead Geoscientist
TGS
Chair B
Luke Griffiths
Geoscientist
Norwegian Geotechnical Institute (NGI)
