(LEFT TO RIGHT): GARETH BURTON, ABS VICE PRESIDENT, TECHNOLOGY; MICHAEL TRIANTAFYLLOU AND EHSAN KHARAZMI FROM MIT, CREDITS: ABS
MIT and ABS have conducted a study on developing digital twins to optimize field sensor locations and improve the prediction of riser motion, which connects subsea oil resources to surface assets.
MIT's Intelligent Towing Tank played a significant role in exploring vortex-induced vibrations (VIVs) and reducing the number of experiments needed to understand the complex forces involved.
The study aims to support the offshore industry in optimizing asset performance and improving safety through advanced AI technologies.
- Using digital twins and AI methods allows for better exploration of the parametric space and design of complex systems.
- The study utilizes Physics-Informed Neural Networks (PINNS) and multi-fidelity methods to incorporate multiple models of different fidelity.
- The collaboration between MIT and ABS demonstrates the commitment to innovation and technology breakthroughs in the offshore industry.
Utilities have been modernizing their infrastructure for several years, but the COVID-19 pandemic has accelerated the trend for automatization and digitalization, leading to the multiplication of digital twins.
