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dc.contributor.authorRaza, Jawad
dc.contributor.authorLiyanage, Jayantha Prasanna
dc.date.accessioned2011-04-12T08:48:05Z
dc.date.available2011-04-12T08:48:05Z
dc.date.issued2010
dc.identifier.citationRaza, Jawad and Jayantha Prasanna Liyanage (2010). Managing hidden system threats for higher production regularity using intelligent technological solutions: A case study. European Journal of Industrial Engineering, 4(2), 249-263. Inderscience retains the copyright.en_US
dc.identifier.issn1751-5262
dc.identifier.issn1751-5254
dc.identifier.urihttp://hdl.handle.net/11250/182638
dc.description.abstractIdentification and interpretation of hidden system threats on complex oil and gas production platforms has always been a challenge. These threats may gradually develop into failures/faults resulting in system shutdowns or eventually loss/reduction of production. Oil and gas industry is willing to test new technologies in managing uninterrupted, higher production regularity. In response to these challenges, a research project was initiated involving a leading oil company in Norway. A systematic investigative approach was adopted which incorporates domain experts‟ opinion and multiple information resources/databases. The paper attempts neural network modelling of a critical production loss-related scenario, based on real plant data from an offshore production facility. Analytical results captured symptoms of suboptimal performance from compressors installed in the gas compression system. This methodology could give plant operators an opportunity to early identify system‟s anomalies. As a result, unwanted shutdowns can be avoided, consequently improving overall plant‟s efficiency and productivity.en_US
dc.language.isoengen_US
dc.publisherInderscience Enterprises Ltd.en_US
dc.relation.urihttp://www.inderscience.com/search/index.php?action=record&rec_id=31080&prevQuery=&ps=10&m=or
dc.subjectartificial neural networksen_US
dc.subjectANNen_US
dc.subjectcompressor performanceen_US
dc.subjectproduction regularityen_US
dc.titleManaging hidden system threats for higher production regularity using intelligent technological solutions: A case studyen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.subject.nsiVDP::Technology: 500::Mechanical engineering: 570en_US
dc.source.pagenumber249-263en_US
dc.source.volume4
dc.source.journalEuropean Journal of Industrial Engineering
dc.source.issue2


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