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AuthorMosleh, Fadi
AuthorZayed, Tarek
AuthorEl-Abbasy, Mohammed S.
Available date2017-01-05T11:15:47Z
Publication Date2016-12
Publication NameJournal of Performance of Constructed Facilitiesen_US
Identifierhttp://dx.doi.org/10.1061/(ASCE)CF.1943-5509.0000888
CitationEvidential Reasoning–Based Condition Assessment Model for Offshore Gas Pipelines Fadi Mosleh; Tarek Zayed, F.ASCE; and Mohammed S. El-Abbasy Journal of Performance of Constructed Facilities (2016) 30:6
ISSN08873828
URIhttp://hdl.handle.net/10576/5151
AbstractCondition 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.
SponsorThe authors gratefully acknowledge the support provided by Qatar National Research Fund (QNRF) for this research project under Award No. QNRF-NPRP 09-901-2-343.
Languageen
PublisherAmerican Society of Civil Engineers (ASCE)
SubjectData processing
SubjectOil pipelines
SubjectOffshore pipelines
SubjectPipe failures
SubjectGas pipelines
SubjectFailure analysis
SubjectInspection
SubjectMiddle East
SubjectQatar
TitleEvidential Reasoning–Based Condition Assessment Model for Offshore Gas Pipelines
TypeArticle
Issue Number6
Volume Number30


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