A Reliability Assessment Method for Natural Gas Pipelines with Corroded Defects That Considers Detection Cycles
An Li,
Feng Jin,
Yuan Li,
Wen Lan,
Pan Liu,
Zhifeng Yu,
Kai Wen
Affiliations
An Li
Construction Project Management Branch, National Petroleum and Natural Gas Pipeline Network Group Co., Ltd., Langfang 065000, China
Feng Jin
National Engineering Laboratory for Pipeline Safety/MOE Key Laboratory of Petroleum Engineering/Beijing Key Laboratory of Urban Oil and Gas Distribution Technology, China University of Petroleum-Beijing, Beijing 102200, China
Yuan Li
Construction Project Management Branch, National Petroleum and Natural Gas Pipeline Network Group Co., Ltd., Langfang 065000, China
Wen Lan
National Engineering Laboratory for Pipeline Safety/MOE Key Laboratory of Petroleum Engineering/Beijing Key Laboratory of Urban Oil and Gas Distribution Technology, China University of Petroleum-Beijing, Beijing 102200, China
Pan Liu
Construction Project Management Branch, National Petroleum and Natural Gas Pipeline Network Group Co., Ltd., Langfang 065000, China
Zhifeng Yu
China Petroleum Pipeline Engineering Co., Ltd., Langfang 065000, China
Kai Wen
National Engineering Laboratory for Pipeline Safety/MOE Key Laboratory of Petroleum Engineering/Beijing Key Laboratory of Urban Oil and Gas Distribution Technology, China University of Petroleum-Beijing, Beijing 102200, China
With the development of natural gas pipelines, the proportion of aged pipelines in service has been increasing, and corrosion remains a primary cause of pipeline failure. Regular inspections and reliability assessments are crucial to ensure the safe operation of pipelines. This study investigated an efficient reliability assessment method for corroded pipelines that considers in-line inspection intervals. First, this study compared the commonly used limit state equations for corrosion defects to select one suitable for X80-grade steel pipelines. Additionally, a Tail-Fit Monte Carlo Simulation (TF-MCS) algorithm was proposed to improve the computational speed by 30 times compared to traditional Monte Carlo simulations. Then, this study explored the inspection intervals used for reliability assessments of corroded pipelines. Finally, the parameter sensitivity was analyzed considering the yield strength, maximum operating pressure, and pipe diameter. This study ensures the reliable operation of corroded gas pipelines.
