Over two years of work, the consortium partners—TECNALIA Research & Innovation, BCAM – Basque Center for Applied Mathematics, the University of the Basque Country (EHU), through the Departments of Energy Engineering and Mathematics, Mondragon Unibertsitatea, and Vicinay Marine Innovación—have investigated the development of new approaches based on artificial intelligence and the construction of advanced datasets for estimating the Remaining Useful Life (RUL) of mooring systems and umbilicals applied to offshore renewable technologies.

The event began with a welcome and general presentation that provided context for the project’s objectives and scope. The session was then structured around the different lines of work, during which the main results achieved were presented and discussed. These included the global–local hybrid methodology for characterizing structural integrity in mooring chains, advances in modeling and validation, the analysis of data sources combining wave channel testing and simulations using OrcaFlex models, as well as the practical applications of artificial intelligence for estimating the remaining useful life of offshore moorings and umbilicals.

The final round of discussion and conclusions was particularly enriching, as it enabled the exchange of perspectives and helped to more clearly define the project’s next steps. The meeting included the participation of the RUL-ET Advisory Board and various Basque entities from the offshore renewable technologies sector, fostering knowledge exchange, technology transfer, and the exploration of new collaboration opportunities.