Vis enkel innførsel

dc.contributor.authorMarins, Matheus A.
dc.contributor.authorD'Avila Barros, Bettina
dc.contributor.authorSantos, Ismael H.
dc.contributor.authorBarrionuevo, Daniel C.
dc.contributor.authorVargas, Ricardo E.V.
dc.contributor.authorde M. Prego, Thiago
dc.contributor.authorde Lima, Amaro A.
dc.contributor.authorde Campos, Marcello L.R.
dc.contributor.authorda Silva, Eduardo A.B.
dc.contributor.authorNetto, Sergio L.
dc.date.accessioned2021-09-07T11:04:48Z
dc.date.available2021-09-07T11:04:48Z
dc.date.created2020-11-25T11:34:00Z
dc.date.issued2020
dc.identifier.citationJournal of Petroleum Science and Engineering. 2020, .en_US
dc.identifier.issn0920-4105
dc.identifier.urihttps://hdl.handle.net/11250/2773987
dc.description.abstractThis papers deals with the automatic detection and classification of faulty events during the practical operation of oil and gas wells and lines. The events considered here are part of the publicly available 3W database developed by Petrobras, the Brazilian oil holding. Seven fault classes are considered, with distinct dynamics and patterns, as well as several instances of normal operation. A random forest classifier is employed with different statistical measures to identify each fault type. Three experiments are devised in order to evaluate the system performance in distinct classification scenarios. An accuracy rate of 94% indicates a successful performance for the proposed system in detecting real events. Also, the system’s time of detection was on average 12% of the transient period that precedes the fault steady-state.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.titleFault detection and classification in oil wells and production/service lines using random foresten_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber0en_US
dc.source.journalJournal of Petroleum Science and Engineeringen_US
dc.identifier.doi10.1016/j.petrol.2020.107879
dc.identifier.cristin1852146
dc.description.localcodeThis article will not be available due to copyright restrictions (c) 2020 by Elsevieren_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


Tilhørende fil(er)

Thumbnail

Denne innførselen finnes i følgende samling(er)

Vis enkel innførsel