Asset Life Extension through Predictive Digital Twins for Offshore Structures Co-hosted with Shell
- Discover how Shell assesses fatigue life extension in four ‘easy’ steps with Akselos high-fidelity, physics-based FEA model.
- Learn how sensor data is calibrated onto the model to reflect the as-is condition of the model.
- Hear about how Shell calculates the true fatigue life of a given asset based on the real-time monitoring of actual fatigue damage using Akselos digital twins.
MORE ABOUT THIS WEBINAR
In this webinar, which took place on May 8th, 2019, hear from Shell on how they are using digital twins to extend their Bonga FPSO’s asset life. The Akselos Digital Twins, which are high-fidelity and physics-based FEA models, provide a wealth of knowledge that helps Shell achieve predictive maintenance, ultimately leading to increased asset integrity and life expectancy.
Not only are Akselos FEA models big, but they can also be easy to load and simulate using our advanced Reduced-Basis Finite Element Analysis technology. This gives operators the competitive edge as they can achieve 1000x the speed compared to legacy Finite Element Analysis software.
