Transforming the energy industry performance and driving decision making at speed
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