Materials Performance

AUG 2018

Materials Performance is the world's most widely circulated magazine dedicated to corrosion prevention and control. MP provides information about the latest corrosion control technologies and practical applications for every industry and environment.

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11 MATERIALS PERFORMANCE: VOL. 57, NO. 8 AUGUST 2018 Continued on page 12 UP FRONT Remote Sensing for Corrosion Under Insulation Officials with the remote corrosion sensing project see oil and gas pipeline operators as potential users of the technology. Photo courtesy of CENSIS. A new project between Scotland's Innova- tion Centre for Sensor and Imaging Sys- tems (CENSIS) (Glasgow, United Kingdom) and technology provider CorrosionR ADAR (Cambridge, United Kingdom) is exploring the use of remote sensors to monitor cor- rosion under insulation (CUI) without hav- ing to physically remove insulation for a visual inspection. Potential benefits include cutting financial costs associated with manual monitoring while also reducing worker ex- posure to difficult conditions. "Tackling CUI in the oil and gas industry is the first application we foresee," says Chiraz Ennaceur, CEO of CorrosionR ADAR, a spin-out firm from Cranfield University (Bedford, United Kingdom). "In the down- stream segment alone, there are more than 700 crude oil refineries with over 2 million pipelines—and 25 to 30 percent of these are prone to CUI," he adds. The radar system is described as a dis- tributed sensing technology for detecting and predicting hidden corrosion. Com- prised of a long, thin, f lexible sensor, it can detect and locate corrosion and moisture in difficult and even inaccessible loca- tions. Coded electromagnetic signals are wirelessly transmitted, and data are col- lected through a permanently mounted sensor network. The groups are working to integrate the corrosion and moisture sensors with Internet of Things (IoT) infrastructure, in- cluding battery-powered wireless data log- ging using industry protocols and cloud- based analytics. This enables sensor data to be delivered from areas not connected to a power grid. The year-long project will carry out a technical feasibility study for IoT enablement of the sensors for infra- structure design and product develop- ment. Once in place, future work includes forming a predictive maintenance model. Funding for the £98,000 project incor- porates a £68,896 grant from Innovate UK—the United Kingdom's government- funded innovation arm. For more informa- tion, visit censis.org.uk.

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