Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/109138
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DC Field | Value | Language |
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dc.contributor.author | Psaltis, S. | - |
dc.contributor.author | Farrell, T. | - |
dc.contributor.author | Burrage, K. | - |
dc.contributor.author | Burrage, P. | - |
dc.contributor.author | McCabe, P. | - |
dc.contributor.author | Moroney, T. | - |
dc.contributor.author | Turner, I. | - |
dc.contributor.author | Mazumder, S. | - |
dc.contributor.author | Bednarz, T. | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | Applied Mathematical Modelling: simulation and computation for engineering and environmental systems, 2017; 49:338-353 | - |
dc.identifier.issn | 0307-904X | - |
dc.identifier.issn | 1872-8480 | - |
dc.identifier.uri | http://hdl.handle.net/2440/109138 | - |
dc.description.abstract | Abstract Not Available | - |
dc.description.statementofresponsibility | Steven Psaltis, Troy Farrell, Kevin Burrage, Pamela Burrage, Peter McCabe, Timothy Moroney, Ian Turner, Saikat Mazumder, Tomasz Bednarz | - |
dc.language.iso | en | - |
dc.publisher | Elsevier | - |
dc.rights | © 2017 Elsevier Inc. All rights reserved. | - |
dc.source.uri | http://dx.doi.org/10.1016/j.apm.2017.05.005 | - |
dc.subject | Mathematical modelling; coal seam gas; Latin hypercube sampling; population of models; validation | - |
dc.title | Using population of models to investigate and quantify gas production in a spatially heterogeneous coal seam gas field | - |
dc.type | Journal article | - |
dc.identifier.doi | 10.1016/j.apm.2017.05.005 | - |
dc.relation.grant | http://purl.org/au-research/grants/arc/CE140100049 | - |
pubs.publication-status | Published | - |
dc.identifier.orcid | McCabe, P. [0000-0001-5262-1018] | - |
Appears in Collections: | Aurora harvest 8 Australian School of Petroleum publications |
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