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dc.contributor.authorWillersrud, Anders
dc.contributor.authorBlanke, Mogens
dc.contributor.authorImsland, Lars Struen
dc.date.accessioned2015-03-27T22:27:43Z
dc.date.accessioned2016-06-23T08:33:26Z
dc.date.available2015-03-27T22:27:43Z
dc.date.available2016-06-23T08:33:26Z
dc.date.issued2015-08
dc.identifier.citationControl Engineering Practice 2015nb_NO
dc.identifier.issn0967-0661
dc.identifier.urihttp://hdl.handle.net/11250/2393758
dc.description.abstractEarly diagnosis of incidents that could delay or endanger a drilling operation for oil or gas is essential to limit field development costs. Warnings about downhole incidents should come early enough to allow intervention before it develops to a threat, but this is difficult, since false alarms must be avoided. This paper employs model-based diagnosis using analytical redundancy relations to obtain residuals which are affected differently by the different incidents. Residuals are found to be non-Gaussian - they follow a multivariate $t$-distribution - hence, a dedicated generalized likelihood ratio test is applied for change detection. Data from a 1400 meter horizontal flow loop test facility is used to assess the diagnosis method. Diagnosis properties of the method are investigated assuming either with available downhole pressure sensors through wired drill pipe or with only topside measurements available. In the latter case, isolation capability is shown to be reduced to group-wise isolation, but the method would still detect all serious events with the prescribed false alarm probability.nb_NO
dc.language.isoengnb_NO
dc.publisherElseviernb_NO
dc.titleIncident detection and isolation in drilling using analytical redundancy relationsnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.date.updated2015-03-27T22:27:43Z
dc.source.pagenumber1-12nb_NO
dc.source.volume41nb_NO
dc.source.journalControl Engineering Practicenb_NO
dc.source.issueAugustnb_NO
dc.identifier.doi10.1016/j.conengprac.2015.03.010
dc.identifier.cristin1234975
dc.relation.projectNorges forskningsråd: 223254nb_NO
dc.description.localcode© Elsevier. This is the authors’ accepted and refereed manuscript to the article. Locked until 31 August 2017 due to copyright restrictions.nb_NO


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