Tuesday, March 10, 2026

1:50 PM - 3:30 PM

Sydney

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Details

Session Leads: Antoine, Lukas, Odd This session will showcase and debate concise, forward-looking position papers on digital geoscience. Rather than focusing on incremental technical advances, contributors will articulate clear stances on where digital methods and AI should (or should not) go in geoscience and subsurface engineering. Topics may include “geoscience-aware AI” versus general-purpose AI, the role of geo-uncertainties in decision-making, and broader questions around the digitalization of subsurface workflows. Attendees will gain a structured overview of competing visions, unresolved tensions, and concrete proposals for how the community can move forward. Considerations: - Clarify what is meant by geoscience-aware AI in contrast to general-purpose AI, and why domain structure, physics, and data characteristics matter. - Present position papers that argue for specific directions, standards, or practices in digital geoscience (e.g., handling geo-uncertainties, integrating simulation and data-driven models, reproducible digital workflows). - Highlight areas where current digital and AI approaches fall short for geoscience and engineering applications, and propose actionable paths for research, collaboration, and community-building. - Explore how different stakeholders (academia, industry, software vendors) can align around shared benchmarks, open datasets, and “best practice” guidelines.

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Moderator