Pipeline Corrosion Pits Growth Prediction with Probabilistic Model and Artificial Neural Network

Abstract

AbstractA scheme based on two historical in-line inspection data sets was developed to estimate the evolution of pitting depth caused by internal corrosion in pipelines. This process involved carefully aligning inspection pitting data and modeling pitting ...Practical ApplicationsPipelines serve as the backbone of energy transportation, but internal corrosion can weaken the steel, leading to costly failures. This study presents a practical method for predicting and managing internal corrosion by combining ...