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dc.contributor.authorVilela, Martin
dc.contributor.authorOluyemi, Gbenga Folorunso
dc.contributor.authorPetrovski, Andrei
dc.date.accessioned2018-05-04T13:52:14Z
dc.date.available2018-05-04T13:52:14Z
dc.date.issued2018-07-08en
dc.identifier.citationVILELA, M., OLUYEMI, G. and PETROVSKI, A. 2018. Fuzzy data analysis methodology for the assessment of value of information in the oil and gas industry. In Proceedings of the Institute of Electrical and Electronics Engineers (IEEE) International fuzzy systems conference 2018 (FUZZ-IEEE 2018), 8-13 July 2018, Rio de Janeiro, Brazil. Piscataway: IEEE [online], article ID 8491628. Available from: https://doi.org/10.1109/FUZZ-IEEE.2018.8491628en
dc.identifier.isbn9781509060207
dc.identifier.issn1063-6706en
dc.identifier.urihttp://hdl.handle.net/10059/2902
dc.description.abstractTo manage uncertainty in reservoir development projects, the Value of Information is one of the main factors on which the decision is based to determine whether it is necessary to acquire additional data. However, subsurface data is not always precise and is characterized by a certain level of fuzziness. In this paper, a model is formulated to assess the Value of Information in the oil and gas industry in cases where the data proposed to be acquired is imprecise. The methodology is based on the use of fuzzy data modelling and analysis aimed at providing decision support for oil field developers. An oilfield from North Africa is used as a case study to show how the methodology works. This work shows how the analysis can be utilized to reach financial decisions on the necessity of additional data acquisition.en
dc.language.isoengen
dc.publisherIEEEen
dc.rightshttps://creativecommons.org/licenses/by-nc/4.0en
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectFuzzy modellingen
dc.subjectValue of informationen
dc.subjectUncertainty and risksen
dc.subjectDecision analysis and supporten
dc.subjectOil and gas industry applicationen
dc.titleFuzzy data analysis methodology for the assessment of value of information in the oil and gas industry.en
dc.typeConference publicationsen
dc.publisher.urihttps://doi.org/10.1109/FUZZ-IEEE.2018.8491628
dcterms.dateAccepted2018-03-15en
dcterms.publicationdate2018-10-15
refterms.accessExceptionNAen
refterms.dateDeposit2018-05-04en
refterms.dateEmbargoEnd2018-07-15en
refterms.dateFCA2018-07-15en
refterms.dateFCD2018-05-04en
refterms.dateFreeToDownload2018-07-15en
refterms.dateFreeToRead2018-07-15en
refterms.dateToSearch2018-07-15en
refterms.depositExceptionNAen
refterms.panelBen
refterms.technicalExceptionNAen
refterms.versionAMen
rioxxterms.publicationdate2018-07-08en
rioxxterms.typeConference Paper/Proceeding/Abstracten
rioxxterms.versionAMen


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