logo
menu

WFS Technologies nets major subsea pipeline contract from Allseas

Offshore pipeline installation, heavy lift and subsea construction company Allseas has selected WFS Technologies’ Seatooth Pipelogger to measure process temperature in real time on a subsea pipeline system.

The pipeline, which has been recently installed by Allseas, will have a total gas throughput capacity of 31.5 billion cubic metres per year.

The Pipelogger is a real-time, wireless technology that can operate at depths of up to 2,000m without the need for ROV inspection, resulting in reduced operating costs. The new Mark III generation of Pipeloggers feature a hot-swappable sensor configuration, and are able to create subsea cloud networks for real-time analytics.

“It is a great testimony of our SIoT [Subsea Internet of Things] tools that Allseas has asked us to embark on this new project with them for the delivery of our latest generation of Seatooth device,” said Moray Melhuish, commercial director at WFS Technologies.

“By combining our proven Seatooth technology with the ability to hot-swap components, we are able to future proof the installation by enabling the simple addition of capability as the requirement emerges. This can include ultrasonic flow, vibration, cathodic protection status, ultrasonic thickness and met ocean conditions, as well as the initial requirement – in this case, the monitoring of process temperature.”

“We selected WFS for their unique track record of supplying wireless subsea devices to meet demanding customer specifications,” added Marcel van Schie, assistant project manager at Allseas. “The adoption of this technology is consistent with Allseas goal to use innovative technology to meet the market’s ever-changing needs.”

The Seatooth Pipelogger is a smart, wireless SIoT device designed to deploy multiple sensors and devices on subsea pipelines, trees, risers and manifolds. The technology supports two-way communication through seawater, seabed, concrete coating, ice and the splash zone.




124 queries in 0.812 seconds.