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Validation results of feature level and joint level CGR based on feature matching and signal matching. These results enable pipeline operators to establish defect repair schedules and re-inspection intervals with increased confidence.
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External corrosion in uninsulated pipelines is normally able to be prevented by cathodic protection (CP). Generally, external corrosion on buried pipelines cannot occur if CP current is getting onto the pipe. CP is an electrochemical means of corrosion control in which the oxidation reaction in a galvanic cell is concentrated at the anode and suppresses corrosion of the cathode (pipe) in the same cell. For instance, to make a pipeline a cathode, an anode is attached to it.
Harvesting ocean energy will play an important role in supplying fossil-free energy for future generations. The oceanic environments around the world are unfortunately of the toughest possible to operate in. Most technologies use a power take-off (PTO) unit with mechanisms that are placed inside protective enclosures or sealed buoys to protect from the harsh environment in seawater. This gives a barrier from the corrosive electrolyte and biological activity that can deteriorate the components. The energy from the oceans in form of relative movements and forces are transferred to the PTOs with help from complex dynamic sealing systems.
The intention of this work is to pose epistemic questions about corrosion measurement, statistical inference, and the role of machine learning in predicting corrosion growth. The audience of this work is practitioners implementing inferential algorithms or tools for corrosion prediction. In this work, an algorithm consists of a process for estimating the presence and severity of corrosion.
On July 8th, 1986, an 8-inch pipeline transporting gasoline ruptured in Mounds View, Minnesota. Vaporized gasoline combined with air and liquid gasoline flowed along neighborhood streets. Approximately 30 minutes later, a vehicle entered the area igniting the gasoline vapor.