UK-based University of Aberdeen, WFS Technologies, and OGIC launched a joint technology project to design and construct the world’s first ExtremeEdge OLM (On-line Monitoring) system for offshore subsea and platform structures. The cooperation seeks to deliver the first generation of real time fatigue monitoring system driven by AI to reduce operating costs and risks.
As explained, the manual monitoring of North Sea offshore subsea structures by divers or Remotely Operated Vehicles (ROVs) is not only hazardous but expensive too, while information on the integrity of the structure is not available in real time, making the quantity and quality of this data insufficient to drive performance-enhancing Big Data analytic techniques.
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As such, the project will focus on advancing technology to monitor subsea structures using specially designed SIoT smart sensor devices incorporating edge AI. The completely autonomous SIoT devices will be attached to the structure with the capability to operate for more than ten years due to the use of intelligent algorithms that will optimise battery usage.
The project, jointly funded by WFS and OGIC, builds on WFS’s Seatooth through-water wireless communications, Subsea Internet of Things (SIoT) and real time wireless fatigue monitoring technologies.
Except from operating autonomously, the sensors will also be able to communicate with one another, which will allow critical information on fatigue and corrosion to be communicated to deliver field-wide, intelligent monitoring systems. In addition, the project will involve building and testing a new generation of self-monitoring smart clamps designed for deployment by light-class ROVs operating from platforms. By removing the need to use vessels, deployment and maintenance costs are reduced dramatically.
