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dc.contributor.authorRizzo, Roberto Emanuele
dc.contributor.authorHealy, D.
dc.contributor.authorDe Siena, L.
dc.date.accessioned2017-01-06T09:28:16Z
dc.date.available2017-01-06T09:28:16Z
dc.date.issued2017-02
dc.identifier.citationRizzo , R E , Healy , D & De Siena , L 2017 , ' Benefits of maximum likelihood estimators for fracture attribute analysis : Implications for permeability and up-scaling ' , Journal of Structural Geology , vol. 95 , pp. 17-31 . https://doi.org/10.1016/j.jsg.2016.12.005en
dc.identifier.issn0191-8141
dc.identifier.otherPURE: 74213539
dc.identifier.otherPURE UUID: 75136245-7c19-4d4f-b63f-35f70476da5e
dc.identifier.otherScopus: 85004008204
dc.identifier.urihttp://hdl.handle.net/2164/7952
dc.descriptionThe authors thank Andrew Hurst for support during the field work, and also Antonio Grippa, Giuseppe Palladino and Gustavo Zvirtes for help and constructive discussions during the field work. We are particularly grateful to Tom Manzocchi for his important comments that greatly improved the first version of this paper. We acknowledge constructive reviews by Julia Gale and Ken McCaffrey, which have greatly improved our manuscript. This work forms part of a NERC New Investigator award for David Healy (NE/I001743/1), which is gratefully acknowledged. Finally, Roberto Emanuele Rizzo is very appreciative of AFES (Aberdeen Formation Evaluation Society) for funding support during his PhD.en
dc.format.extent15
dc.language.isoeng
dc.relation.ispartofJournal of Structural Geologyen
dc.rights© 2016 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)en
dc.subjectfracturesen
dc.subjectmaximum likelihooden
dc.subjectfracture networksen
dc.subjectup-scalingen
dc.subjectpermeability networksen
dc.subjectQE Geologyen
dc.subjectNatural Environment Research Council (NERC)en
dc.subjectNE/I001743/1en
dc.subject.lccQEen
dc.titleBenefits of maximum likelihood estimators for fracture attribute analysis : Implications for permeability and up-scalingen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Geosciencesen
dc.contributor.institutionUniversity of Aberdeen.Geology and Geophysicsen
dc.contributor.institutionUniversity of Aberdeen.Energyen
dc.contributor.institutionUniversity of Aberdeen.Aberdeen Institute of Energyen
dc.description.statusPeer revieweden
dc.description.versionPublisher PDFen
dc.identifier.doihttps://doi.org/10.1016/j.jsg.2016.12.005


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