Prediction of natural fracture porosity from well log data by means of fuzzy ranking and an artificial neural network in Hassi Messaoud oil field, Algeria

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dc.contributor.authorZerrouki, Ahmed Ali
dc.contributor.authorAïfa, Tahar
dc.contributor.authorBaddari, Kamel
dc.date.accessioned2015-05-25T08:15:19Z
dc.date.available2015-05-25T08:15:19Z
dc.date.issued2014
dc.identifier.issn09204105
dc.identifier.urihttps://dspace.univ-boumerdes.dz123456789/1153
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofseriesVol.115 (2014);pp. 78–89
dc.subjectArtificial neural networken_US
dc.subjectFracture porosityen_US
dc.subjectLog dataen_US
dc.subjectFuzzy rankingen_US
dc.subjectReservoiren_US
dc.titlePrediction of natural fracture porosity from well log data by means of fuzzy ranking and an artificial neural network in Hassi Messaoud oil field, Algeriaen_US
dc.typeArticleen_US

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