Oil & Gas Middle East – Revolutionising Asset Safety: CorrosionRADAR’s Smart CUI Detection in Oil and Gas
Articles & Blogs 2 min read

Oil & Gas Middle East – Revolutionising Asset Safety: CorrosionRADAR’s Smart CUI Detection in Oil and Gas

In the complex and high-stakes environment of oil and gas operations, corrosion under insulation (CUI) remains one of the most elusive and costly integrity challenges. Traditional inspection techniques often fall short, detecting corrosion only after damage has occurred. But a new generation of sensor technologies, led by innovators like CorrosionRADAR, is transforming how operators detect, monitor, and ultimately mitigate CUI, bringing predictive power and real-time insight to the forefront of asset integrity management.

Dr. Prafull Sharma, Chief Technology Officer and Co-Founder of CorrosionRADAR, has been at the helm of this shift. In a recent interview, he outlined how advancements in sensor networks, AI, and wireless technology are driving smarter, more proactive CUI management in the oil and gas sector.

Periodic Inspections to Surveillance

At the core of CorrosionRADAR’s innovation is its long-range (LR) sensor system, designed to be permanently installed beneath insulation. These sensors continuously monitor moisture and corrosion activity, enabling early detection and allowing operators to intervene long before a threat materialises.

“The real advancement,” Dr. Sharma explains, “is in the sensitivity and reliability of these systems. Operators can now access real-time data from areas that were once virtually impossible to inspect without significant disruption.”

Such real-time visibility shifts the model from reactive maintenance to predictive strategies, reducing operational downtime and extending asset lifespan.

Smarter and Sharper Networks

Rather than relying on isolated data points, integrated sensor networks now connect data from multiple locations across an asset. IoT-enabled platforms aggregate this information, making it available via centralised dashboards.

“This networked approach not only improves accuracy,” Dr. Sharma says, “but it also enables pattern recognition—like tracing the spread of moisture ingress across pipelines or storage tanks. The result is better prioritisation of inspections and resource allocation.”

In hazardous or hard-to-access areas, non-intrusive and wireless sensors prove especially valuable…

To read the full article click here: Oil&Gas Middle East – Q&A with Dr Prafull Sharma


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