A contribution to risk-informed inspection and maintenance planning for unpiggable pipelines subject to internal corrosion

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dc.contributor.advisorDann, Markus R.
dc.contributor.advisorHugo, Ronald J.
dc.contributor.authorMelo Gonzalez, Carlos Alberto
dc.contributor.committeememberGroth, Katrina M.
dc.contributor.committeememberYanushkevich, Svetlana N.
dc.contributor.committeememberZiadé, Paul
dc.contributor.committeememberPark, Simon S.
dc.date2021-06
dc.date.accessioned2020-12-16T16:26:13Z
dc.date.available2020-12-16T16:26:13Z
dc.date.issued2020-12-10
dc.description.abstractPipelines are the safest transportation mode for hydrocarbons, but internal corrosion is still a major cause of failure for energy pipelines. Inspection and repair strategies are implemented to avoid pipeline failures and their consequences. In-line inspection is the most detailed examination technique for pipelines, but almost half of existing pipelines are unpiggable and cannot be inspected using this technique. Direct assessment, based on models that numerically assess corrosion in a pipeline, was developed to overcome this limitation and to facilitate inspection at certain sites. However, most of these models do not take localized corrosion into consideration, which is the main cause of pipeline failure. Industry standards provide guidance for selecting inspection sites based on the results of direct assessment models. However, this process is based only on the likelihood of pipeline failure and can lead to decisions which imply elevated risk and increased pipeline lifecycle costs. The aim of this dissertation is to expand the state of knowledge in risk-based inspection and maintenance planning for upstream unpiggable pipelines subject to internal corrosion. The research focuses on unpiggable pipelines in production and gathering systems operated in the upstream oil and gas industry. A framework for probabilistic risk and integrity assessment of unpiggable pipelines is developed. The framework combines advanced flow and corrosion models with risk-based inspection and maintenance planning. It also includes uncertainty analysis and lifecycle-cost optimization. An extreme value analysis is developed to model localized corrosion and microbiologically-influenced corrosion, which are the main causes of internal corrosion failure in pipelines. A method for decision optimization of unpiggable pipeline inspections based on the value of information is proposed. For maintenance decision optimization at specified safety levels, the research considers both risk-constrained optimization and lifecycle-cost optimization. The research outcomes provide pipeline operators with a methodology for developing optimal inspection and maintenance plans, while maintaining adequate safety levels.en_US
dc.identifier.citationMelo Gonzalez, C. A. (2020). A contribution to risk-informed inspection and maintenance planning for unpiggable pipelines subject to internal corrosion (Doctoral thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca.en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/38439
dc.identifier.urihttp://hdl.handle.net/1880/112844
dc.language.isoengen_US
dc.publisher.facultySchulich School of Engineeringen_US
dc.publisher.institutionUniversity of Calgaryen
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.en_US
dc.subjectinternal corrosionen_US
dc.subjectrisk based inspectionen_US
dc.subjectdecision makingen_US
dc.subjectprobabilistic analysisen_US
dc.subjectunpiggable pipelinesen_US
dc.subjectupstreamen_US
dc.subject.classificationEngineeringen_US
dc.titleA contribution to risk-informed inspection and maintenance planning for unpiggable pipelines subject to internal corrosionen_US
dc.typedoctoral thesisen_US
thesis.degree.disciplineEngineering – Mechanical & Manufacturingen_US
thesis.degree.grantorUniversity of Calgaryen_US
thesis.degree.nameDoctor of Philosophy (PhD)en_US
ucalgary.item.requestcopytrueen_US
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