An integrated methodology for the supply reliability analysis of multi-product pipeline systems under pumps failure

Xingyuan Zhou, P. H.A.J.M. van Gelder, Yongtu Liang, Haoran Zhang

Research output: Contribution to journalArticleScientificpeer-review


As the main way for the long-distance transportation of refined products, multi-products pipelines are of vital importance to the regional energy security. The supply reliability evaluation of multi-product pipeline systems can improve the effective response to unexpected disruptions and guarantee the reliable oil supply. Based on reliability theory and pipeline scheduling method, an integrated supply reliability evaluation methodology for multi-product pipeline systems is proposed in this paper and the pumps failure, of which influence is the most complex, is focused on. In the methodology, the discrete-time Markov process is adopted to describe the stochastic failure and the Monte Carlo method is used to simulate the system states transition. With the pipeline flowrate upper limits under various pumps failure scenarios optimized in advance, the maximum supply capacity to the downstream markets in each trial is calculated by the pipeline scheduling model. Three indicators are also developed to analyze the pipeline supply reliability from the holistic and individual perspectives. At last, the methodology application is performed on a real-world multi-product pipeline system in China and the supply reliability is analyzed in detail according to the simulation results. It is proved to provide a practical method for the emergency response decision-making and loss prevention.

Original languageEnglish
Article number107185
JournalReliability Engineering and System Safety
Publication statusPublished - 2020


  • Evaluation indicators
  • Multi-product pipeline
  • Pipeline scheduling method
  • Pumps failure
  • Stochastic process simulation
  • Supply reliability analysis

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