ABS Joins Massachusetts Institute Of Technology In Innovative Study Using Offshore Digital Twins

The offshore energy industry is the targeted beneficiary of a new study led by the Massachusetts Institute of Technology (MIT) and supported by ABS, offshore industry leaders and MathWorks to expand the use of artificial intelligence (AI) tools and machine learning methodologies to better predict riser motion.

With a focus on risers that connect subsea oil resources to surface assets, the study developed digital twins to better predict riser motion and enable offshore companies to optimize field sensor locations on their assets.

“This is an exciting time for innovation and technology breakthroughs in the offshore industry. As a safety focused organization operating at the forefront of these technologies, ABS is able to share the insight we have learned with world-class research institutions like MIT to support the adoption of new tools and systems that improve both safety and performance,” said Patrick Ryan, ABS Senior Vice President and Chief Technology Officer.

Gareth Burton, ABS Vice President, Technology; Michael Triantafyllou and Ehsan Kharazmi from MIT
(left to right): Gareth Burton, ABS Vice President, Technology; Michael Triantafyllou and Ehsan Kharazmi from MIT, Credits: ABS

MIT’s Intelligent Towing Tank is prominently featured in the study, exploring vortex-induced vibrations (VIVs), which remain somewhat of a phenomenon due to the high number of parameters involved.

Guided by active learning, the Intelligent Towing Tank was used to conduct a series of experiments. Using an “explore-and-exploit” methodology, the algorithm-based system dramatically reduced the number of experiments required to explore and map the complex forces governing VIVs.

The uncertainty of the predicted riser VIV motion is quantified, and a procedure is developed to process multi-terabyte field datasets for digital twin use, using Physics-Informed Neural Networks (PINNS) and multi-fidelity methods to incorporate multiple models of different fidelity.

“Artificial intelligence methods have become an essential tool for design and operation of complex systems, and digital twins provide unprecedented capability to explore the parametric space. As we are dedicated to developing powerful AI tools for the offshore industry, we are excited to collaborate with ABS to share the technology across the industry,” said Michael Triantafyllou, Professor of Mechanical and Ocean Engineering at MIT.

With more than 70 years of experience in the offshore sector, ABS is committed to providing expert guidance and solutions for safely managing assets in offshore operations.

Press Release

Leave a Reply

Your email address will not be published. Required fields are marked *

Latest Article

Discount up to 30% for this month

Lorem ipsum dolor sit amet consectetur adipiscing elit dolor