Predictive Corrosion Modelling – Rise of the Machines

This white paper discusses how a recent project's machine learning algorithms were employed to predict the location and severity of metal lossRefers to the reduction in material thickness or cross-sectional area of a pipe due to corrosion, erosion, or other forms of degradation. corrosionThe deterioration or degradation of a pipeline caused by chemical or electrochemical reactions with its environment. Corrosion is a significant concern as it ca… on pipelines, with the intent of providing a non-destructive screening toolGeneric term signifying any type of instrumented tool or pig. that can quickly and reliably aid pipeline operators in assessing the threats of internal and external corrosion on pipelines without ILI data. Specifically, the algorithm predictions for a specific pipe segmentA specific section of a pipeline system that is typically defined based on its geographic location, operational characteristics, or other relevant factors. Seg… includes a potential for the presence of metal loss, if the metal loss is on the internal or external wall surface, and a regression analysis of metal loss characteristics (corrosion depth, length, width and orientation).