Living Digital
Transforming the energy industry performance and driving decision making at speed
Solve flow challenges in milliseconds with physics-informed AI
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.
Presenters:
Kyle Mooney, Director of Technology – Computational Modelling & Optimization, Geminus
Linnea Russell, Product Manager, Process Engineering & Process Twin, SLB
Session 1: Wednesday, 4 June, 2025, 8:00 a.m. (GMT) (UK Time) Registration
Session 2: Wednesday, 4 June, 2025, 3:00 p.m. (GMT) (UK Time) Registration
