Computational modelling of iron-ore mineralisation with stratigraphic permeability anisotropy
dc.contributor.author | Giraldo Avila, Juan Felipe | |
dc.contributor.supervisor | Victor Calo | en_US |
dc.contributor.supervisor | Ian Davies | en_US |
dc.date.accessioned | 2023-11-28T05:40:03Z | |
dc.date.available | 2023-11-28T05:40:03Z | |
dc.date.issued | 2023 | en_US |
dc.identifier.uri | http://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.publisher | Curtin University | en_US |
dc.title | Computational modelling of iron-ore mineralisation with stratigraphic permeability anisotropy | en_US |
dc.type | Thesis | en_US |
dcterms.educationLevel | PhD | en_US |
curtin.department | School of Civil and Mechanical Engineering | en_US |
curtin.accessStatus | Open access | en_US |
curtin.faculty | Science and Engineering | en_US |
curtin.contributor.orcid | Giraldo Avila, Juan Felipe [0000-0002-1902-2555] | en_US |