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An ensemble model based on relevance vector machine and multi-objective salp swarm algorithm for predicting burst pressure of corroded pipelines

  • Hongfang Lu
  • , Tom Iseley
  • , John Matthews
  • , Wei Liao
  • , Mohammadamin Azimi
  • Southeast University
  • Purdue University
  • Louisiana Tech University

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Article number108585
JournalJournal of Petroleum Science and Engineering
Volume203
DOIs
StatePublished - Aug 2021
Externally publishedYes

ASJC Scopus Subject Areas

  • Fuel Technology
  • Geotechnical Engineering and Engineering Geology

Keywords

  • Burst pressure
  • Corroded pipeline
  • Machine learning
  • Multi-objective salp swarm algorithm
  • Prediction
  • Relevance vector machine

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