| dc.contributor.author | Rizzo, Roberto Emanuele | |
| dc.contributor.author | Healy, D. | |
| dc.contributor.author | De Siena, L. | |
| dc.date.accessioned | 2017-01-06T09:28:16Z | |
| dc.date.available | 2017-01-06T09:28:16Z | |
| dc.date.issued | 2017-02 | |
| dc.identifier | 74213539 | |
| dc.identifier | 75136245-7c19-4d4f-b63f-35f70476da5e | |
| dc.identifier | 85004008204 | |
| dc.identifier.citation | Rizzo , 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.2016.12.005 | en |
| dc.identifier.issn | 0191-8141 | |
| dc.identifier.uri | http://hdl.handle.net/2164/7952 | |
| dc.description | The 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.extent | 15 | |
| dc.format.extent | 6158274 | |
| dc.language.iso | eng | |
| dc.relation.ispartof | Journal of Structural Geology | en |
| dc.subject | fractures | en |
| dc.subject | maximum likelihood | en |
| dc.subject | fracture networks | en |
| dc.subject | up-scaling | en |
| dc.subject | permeability networks | en |
| dc.subject | QE Geology | en |
| dc.subject | Natural Environment Research Council (NERC) | en |
| dc.subject | NE/I001743/1 | en |
| dc.subject.lcc | QE | en |
| dc.title | Benefits of maximum likelihood estimators for fracture attribute analysis : Implications for permeability and up-scaling | en |
| dc.type | Journal article | en |
| dc.contributor.institution | University of Aberdeen.Geosciences | en |
| dc.contributor.institution | University of Aberdeen.Geology and Geophysics | en |
| dc.contributor.institution | University of Aberdeen.Energy | en |
| dc.contributor.institution | University of Aberdeen.Centre for Energy Transition | en |
| dc.description.status | Peer reviewed | en |
| dc.identifier.doi | 10.1016/j.jsg.2016.12.005 | |
