Evidential Reasoning-Based Condition Assessment Model for Offshore Gas Pipelines

Fadi Mosleh, Tarek Zayed, Mohammed S. El-Abbasy

Research output: Journal article publicationJournal articleAcademic researchpeer-review

12 Citations (Scopus)


Condition assessment of oil and gas pipelines is a significant component in pipeline operations and maintenance. Such assessments are used to ensure better decisions for repair and/or replacement to reduce pipelines' failure possibilities. Therefore, it is essential to have an effective condition assessment model for pipelines as their failure incidents may lead to catastrophic, economical, and environmental consequences. Current practices of assessing gas pipelines condition can be considered simplified for the intended purpose. They mainly depend on experts' opinions in interpreting inspection data, where the process is influenced by human subjectivity and reasoning uncertainty. In other words, they need detailed knowledge on the translation of raw inspection data into valuable information. This will surely lead to decisions lacking thorough and extensive review of the most influential aspects on pipelines' conditions. To address the weaknesses of current practices, this research proposes a new fuzzy-based methodology that utilizes an integrated analytic network process (ANP) and hierarchical evidential reasoning (HER) to develop a meticulous condition assessment model for offshore gas pipelines. The proposed model is validated using historical inspection reports that are obtained from a local pipeline operator in Qatar. The model delivers satisfactory outcomes in assessing offshore gas pipelines' conditions based on real field data.
Original languageEnglish
Article number04016037
JournalJournal of Performance of Constructed Facilities
Issue number6
Publication statusPublished - 1 Dec 2016
Externally publishedYes


  • Analytic network process (ANP)
  • Condition assessment
  • Evidential reasoning (ER)
  • Fuzzy set theory (FST)
  • Offshore gas pipelines

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction
  • Safety, Risk, Reliability and Quality


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