Offshore staffHORTEN, Norway — Vår Energi has contracted Vissim to improve oil spill detection know-how at its manufacturing installations offshore Norway.Both the Balder FPSO and the Ringhorne processing platform within the North Sea will likely be geared up with the brand new system.According to Håvard Odden, this system consists of reuse of {hardware} already put in.Norway requires offshore operators to make use of oil spill monitoring applied sciences that operate unbiased of climate circumstances.All installations on the Norwegian Continental Shelf are geared up with radar know-how for vessel monitoring. Vissim’s mixed answer is claimed to enable vessel monitoring and oil spill detection utilizing the identical radar.A conventional concern expertise with radar-based oil spill detection methods is that the picture processing know-how generates false alarms, which operators have to monitor and reply to manually. They will be triggered by heavy rain, vessel wake or different phenomena.Vissim’s new method is predicated on suggestions from Norwegian operators. The radar-based device options upgraded picture processing know-how and likewise machine learning that teaches the system what it wants to reply to and what must be ignored. “The new system has a lot larger sensitivity, which implies that it’s going to detect smaller oil spills,” Odden defined. “It capitalizes on machine learning and synthetic intelligence, which signifies that the quantity of false alarms will drastically lower, which in flip means much less stress on operators. This will increase the reliability of the oil spill detection system whereas it additionally reduces operators’ prices.” 10.13.2023
https://www.offshore-mag.com/business-briefs/equipment-engineering/article/14300214/vissim-applies-machine-learning-to-improve-oil-spill-detection-offshore-norway
Vissim applies machine learning to improve oil spill detection offshore Norway
