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dc.contributor.authorRamos, Geraldo A R
dc.contributor.authorAkanji, Lateef
dc.date.accessioned2017-06-22T16:00:15Z
dc.date.available2017-06-22T16:00:15Z
dc.date.issued2017-06-22
dc.identifier.citationRamos , G A R & Akanji , L 2017 , ' Data Analysis and Neuro-Fuzzy Technique for EOR Screening : Application in Angolan Oilfields ' , Energies , vol. 10 , no. 7 , 837 . https://doi.org/10.3390/en10070837en
dc.identifier.issn1996-1073
dc.identifier.otherPURE: 101677620
dc.identifier.otherPURE UUID: f415fb40-a304-4c59-9c46-efe4d79edcc1
dc.identifier.otherScopus: 85025439623
dc.identifier.urihttp://hdl.handle.net/2164/8856
dc.descriptionThis study is sponsored by the Angolan National Oil Company (Sonangol EP) and the authors are grateful for their support and the permission to use the data and publish this manuscripten
dc.language.isoeng
dc.relation.ispartofEnergiesen
dc.rightsc 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).en
dc.subjectenhanced oil recovery (EOR)en
dc.subjectneuro-fuzzy (NF)en
dc.subjectartificial intelligence (AI)en
dc.subjectreservoir screeningen
dc.subjectneural network (NN)en
dc.subjectT Technology (General)en
dc.subject.lccT1en
dc.titleData Analysis and Neuro-Fuzzy Technique for EOR Screening : Application in Angolan Oilfieldsen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Engineeringen
dc.contributor.institutionUniversity of Aberdeen.Centre for Energy Transitionen
dc.contributor.institutionUniversity of Aberdeen.Engineeringen
dc.contributor.institutionUniversity of Aberdeen.Engineering (Research Theme)en
dc.description.statusPeer revieweden
dc.description.versionPublisher PDFen
dc.identifier.doihttps://doi.org/10.3390/en10070837


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