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

Disclaimer :
The information contained in this website is for general information purposes only. While we endeavour to keep the information up to date and correct, we make no representations or warranties of any kind, express or implied, about the completeness, accuracy, reliability, suitability or availability with respect to the website or the information, products, services, or related graphics contained on the website for any purpose. Any reliance you place on such information is therefore strictly at your own risk.

In no event will we be liable for any loss or damage including without limitation, indirect or consequential loss or damage, or any loss or damage whatsoever arising from loss of data or profits arising out of, or in connection with, the use of this website.

Do you have info to share with us ? Suggest a correction

About Author

Marine Insight News Network is a premier source for up-to-date, comprehensive, and insightful coverage of the maritime industry. Dedicated to offering the latest news, trends, and analyses in shipping, marine technology, regulations, and global maritime affairs, Marine Insight News Network prides itself on delivering accurate, engaging, and relevant information.

Subscribe To Our Newsletters

By subscribing, you agree to our Privacy Policy and may receive occasional deal communications; you can unsubscribe anytime.

Web Stories

Leave a Reply

Your email address will not be published.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