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dc.contributor.authorGiraldo Avila, Juan Felipe
dc.contributor.supervisorVictor Caloen_US
dc.contributor.supervisorIan Daviesen_US
dc.date.accessioned2023-11-28T05:40:03Z
dc.date.available2023-11-28T05:40:03Z
dc.date.issued2023en_US
dc.identifier.urihttp://hdl.handle.net/20.500.11937/93844
dc.description.abstract

This study develops a computational framework to model fluid transport in sedimentary basins, targeting iron ore deposit formation. It offers a simplified flow model, accounting for geological features and permeability anisotropy as driving factors. A new finite element method lessens computational effort, facilitating robust predictions and cost-effective exploration. This methodology, applicable to other mineral commodities, enhances understanding of genetic models, supporting the search for new mineral deposits amid the global energy transition.

en_US
dc.publisherCurtin Universityen_US
dc.titleComputational modelling of iron-ore mineralisation with stratigraphic permeability anisotropyen_US
dc.typeThesisen_US
dcterms.educationLevelPhDen_US
curtin.departmentSchool of Civil and Mechanical Engineeringen_US
curtin.accessStatusOpen accessen_US
curtin.facultyScience and Engineeringen_US
curtin.contributor.orcidGiraldo Avila, Juan Felipe [0000-0002-1902-2555]en_US


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