University of Aberdeen logo

AURA - Aberdeen University Research Archive

 

Predicting oil field performance using machine learning programming : a comparative case study from the UK continental shelf

Simple item page
dc.contributor.authorOsah, Ukari
dc.contributor.authorHowell, John
dc.contributor.institutionUniversity of Aberdeen.Geology and Geophysicsen
dc.date.accessioned2023-07-04T14:16:01Z
dc.date.available2023-07-04T14:16:01Z
dc.date.issued2023-02-02
dc.descriptionFunding Information: Author contributions UO: data curation (lead), formal analysis (lead), funding acquisition (lead), methodology (equal), validation (lead), visualization (equal), writing – original draft (lead); JH: conceptualization (lead), methodology (equal), supervision (lead), visualization (equal), writing – review & editing (lead) Funding This work was funded by the Petroleum Technology Development Fund (PTDF/ED/OSS/PHD/OU/1188/17).en
dc.description.statusPeer revieweden
dc.format.extent1115722
dc.identifier235130401
dc.identifier00cd5532-8291-488f-9bcb-daebfc3432f9
dc.identifier85149655764
dc.identifier.citationOsah, U & Howell, J 2023, 'Predicting oil field performance using machine learning programming : a comparative case study from the UK continental shelf', Petroleum Geoscience, vol. 29, no. 1, petgeo2022-071. https://doi.org/10.1144/petgeo2022-071en
dc.identifier.doi10.1144/petgeo2022-071
dc.identifier.iss1en
dc.identifier.issn1354-0793
dc.identifier.urihttps://hdl.handle.net/2164/21103
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85149655764&partnerID=8YFLogxKen
dc.identifier.vol29en
dc.language.isoeng
dc.relation.ispartofPetroleum Geoscienceen
dc.subjectQE Geologyen
dc.subjectFuel Technologyen
dc.subjectGeologyen
dc.subjectGeochemistry and Petrologyen
dc.subjectEconomic Geologyen
dc.subjectEarth and Planetary Sciences (miscellaneous)en
dc.subject.lccQEen
dc.titlePredicting oil field performance using machine learning programming : a comparative case study from the UK continental shelfen
dc.typeJournal articleen

Files

Original bundle

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

Collections

All research