Corrosion Research of Wet Natural Gathering and Transportation Pipeline Based on SVM

Abstract

In the offshore natural gas pipeline transportation system, since the gathering and transportation pipeline system runs long time, wet natural gas gathering pipeline has been corroded seriously, and the failure leakage accidents happen frequently which cause great loss to nation economic and people’s lives and property. Therefore the corrosion research of the wet natural gas pipeline system has been a hot topic in recent years, and there are no relevant standards and evaluation methods. The risk assessment of gathering and transportation pipeline system faces many problems. Based on the gray support vector machine, the paper starts from the gray relevant analysis, analyzes and researches the corrosion inspection data of the known gathering pipeline, establishes the corrosion rate prediction model of the wet natural gas gathering and transportation pipeline, and whose calculation results fit the actual value well compared with existing methods, which improves the prediction accuracy to some extent. It provides a new thought for the risk assessment, risk management, and maintenance research of the wet natural gas gathering and transportation pipeline, also has reference value for the quantitative assessment and integrity management of other long-distance oil and gas pipeline.