University of Aberdeen logo

AURA - Aberdeen University Research Archive

 

A Neuro-Fuzzy Approach to Screening Reservoir Candidates for EOR

dc.contributor.authorAkanji, Lateef
dc.contributor.authorSandrea, Rafael
dc.contributor.institutionUniversity of Aberdeen.Centre for Energy Transitionen
dc.contributor.institutionUniversity of Aberdeen.Engineeringen
dc.date.accessioned2016-10-04T16:00:11Z
dc.date.available2016-10-04T16:00:11Z
dc.date.issued2016-09
dc.descriptionThe authors are grateful to Prof. Elmira Ramazanova of the Scientific Research Institute Baku, Azerbaijan, for facilitating the forum for the discussion of this project. The authors also thank the editor of Oil and Gas Journal for the permission to use the worldwide EOR data.en
dc.description.statusPeer revieweden
dc.format.extent14
dc.format.extent2008414
dc.identifier70940204
dc.identifier06512cd3-9e05-40f7-b2c6-39638a1b45a4
dc.identifier.citationAkanji, L & Sandrea, R 2016, 'A Neuro-Fuzzy Approach to Screening Reservoir Candidates for EOR', Advances in Petroleum Exploration and Development, vol. 12, no. 1, pp. 1-14. < http://www.cscanada.net/index.php/aped/article/view/8743 >en
dc.identifier.iss1en
dc.identifier.issn1925-542X
dc.identifier.otherORCID: /0000-0001-5158-6134/work/158672682
dc.identifier.urihttp://hdl.handle.net/2164/7567
dc.identifier.urlhttp://www.cscanada.net/index.php/aped/article/view/8743en
dc.identifier.vol12en
dc.language.isoeng
dc.relation.ispartofAdvances in Petroleum Exploration and Developmenten
dc.subjectNeuro-fuzzyen
dc.subjectEORen
dc.subjectreservoir screeningen
dc.subjectartificial intelligenceen
dc.subjecttraining and learningen
dc.subjectTA Engineering (General). Civil engineering (General)en
dc.subject.lccTAen
dc.titleA Neuro-Fuzzy Approach to Screening Reservoir Candidates for EORen
dc.typeJournal articleen

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
pdf.pdf
Size:
1.92 MB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
8.29 KB
Format:
Plain Text
Description: