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*** REGISTER TO WATCH THE RECORDING ****
START Date WAS:Wednesday, 4 June, 2025
START Time WAS:8:00 AM BST (London Time, UK)
Duration:30 minutes
Abstract:
AI trained solely on data demands high costs, extended timelines, and many resources, potentially delaying return on investment (ROI) for years. Physics-based simulations can be predictive but are computationally intense and require deep domain expertise, limiting their use for real-time operational decisions. Learn how Geminus uses physics-informed AI, combining simulation with deep learning for real-time decisions, achieving ROI in weeks.
If you're already registered for the Living Digital: Solve flow challenges in milliseconds with physics-informed AI (Session 1) webcast, click below:
ALREADY REGISTERED?
Speakers
 Kyle Mooney Director of Technology – Computational Modelling & Optimization Geminus  Linnea Russell Product Manager, Process Engineering & Process Twin SLB
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The training, services, or technologies provided by SLB may not be used, exported, re-exported, transferred, or otherwise disposed of in violation of laws, regulations, trade embargoes or similar restrictive measures imposed, administered by the U.S. (including, but not limited to the Department of State, the Department of Commerce, the Office of Foreign Assets Control of the Department of Treasury), the United Nations Security Council, the European Union or the government of any member state; or any other applicable laws and regulations.
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