Offshore staff
ABERDEEN, UK — Robert Gordon University (RGU) and the UK’s National Subsea Centre (NSC) have completed a project designed to transform subsea inspections using artificial intelligence (AI).
The Subsea AI Body of Knowledge (SAIBOK) project, which has the support of the Net Zero Technology Centre (NZTC), is a collaboration between RGU’s School of Computing and the NSC and bp, Chevron, TotalEnergies, Intel and Xodus.
SAIBOK has deployed AI and machine learning to train algorithms to detect and interpret anomalies within various subsea inspection images. The project could spur uptake of automated unmanned vehicles with real-time anomaly detection and interpretation capabilities driven by the SAIBOK algorithms.
Professor Eyad Elyan from RGU’s School of Computing and SAIBOK project lead said, “Through the SAIBOK project, we have innovatively harnessed rich and diverse subsea data from different industry partners for asset inspections, resulting in intelligent anomaly detection methods. This endeavor has effectively showcased the immediate necessity for data sharing within the energy industry, presenting a unique opportunity for companies to derive significant benefits from AI.”
Professor John McCall, NSC director, said, “The SAIBOK project exemplifies what the NSC is trying to achieve with its focus on the Transparent Ocean research program. We’re aiming to bring together industry datasets in a way that will accelerate our capability to understand subsea and marine activities, including supporting infrastructures and surrounding environments, using the full range of state-of-the-art platforms and sources for data acquisition, visualization, analysis, interpretation and prediction.”
Blair O’Connor, Digital & Data Architecture Project Manager at NZTC, said, “SAIBOK is realizing value for the project contributors, and the hope is that the wider AI development community will also benefit upon public release of the anonymized repository curated for this project.”
06.26.2023
