Distribution Pipeline Risk Framework

Paper No. IPC2022-87066

Gas distribution systems don't fit traditional pipeline risk models. This paper presents predictive methods to prioritize mitigation and replacement, using a model expanded from a city to Saskatchewan. It links failure rates with asset characteristics through logistic regression and machine learning, enhancing integrity planning. The framework also classifies leaks by hazard levels, assessing failure probability and consequences for improved operational responses.