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