Corrosion
Detected by Corrosion Sensors
Our patented technology monitors for internal and external corrosion using state of the art sensors. These medical-grade sensors change the way corrosion monitoring is done. This analysis is so accurate, it can determine the rate of corroding down to 0.2mm of loss annually— less than the thickness of two human hairs.
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Human Error
Detected by Pressure, Vibration, Temperature, Audio, and Density Sensors
Whether it is an overpressure event, overheat, wellhead issue, non-authorized dig, or even sabotage, our devices measure a variety of variables to detect the threat to your asset. Whether the error is due to operational mishaps or illegal activity, you’ll have a clear picture of what’s going on.
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Component Failure
Detected by Pressure, Vibration, Temperature, Audio, Density Sensors
There are a variety of reasons that pipeline components such as valves or compressor stations may fail. Weld failure, human error, and even acoustic shock can all factor into this failure. We collect data up to 42 times per second to predict these failures before they occur.
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Earth Movement
Detected by Vibration, Geopositioning Sensors
Earthquakes, land slippage, land slides, and ground settling damage pose a real threat to pipeline infrastructure. Our instant alerts allow mitigation of these risks to reduce damage and avoid disaster.
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Safety System Failure
Detected by Vibration Sensors, Supported by External Mounting
We help keep your safety systems in check and are working toward making pigging obsolete. PHMSA data shows that hot-tapping and pigging are responsible for over 2% of pipeline leaks. By monitoring externally, we prevent these leaks and even monitor for lost pigs and leaks from competitors.
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Previously Unknown
Detected by Corrosion, Pressure, Vibration, Temperature, Audio, Density, and Geopositioning Sensors
Our solution measures the most important variables to pipeline longevity. We aim to not only see known risks to pipelines, but also discover the causes of previously unknown causes of pipeline disasters so we can predict and prevent them in the future.
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