Quantitative Optimisation of Drilling for Brownfields Mineral Exploration
This research presents a novel optimisation framework for brownfields exploration drilling. The proposed optimisation methodology has been developed applying geostatistical methods and modern portfolio theory. The use of conditional simulations ensures that geological uncertainty is taken into accou...
| Main Author: | |
|---|---|
| Format: | Thesis |
| Published: |
Curtin University
2022
|
| Online Access: | http://hdl.handle.net/20.500.11937/88905 |
| _version_ | 1848765108572913664 |
|---|---|
| author | Maturana, Francisco Jose |
| author_facet | Maturana, Francisco Jose |
| author_sort | Maturana, Francisco Jose |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This research presents a novel optimisation framework for brownfields exploration drilling. The proposed optimisation methodology has been developed applying geostatistical methods and modern portfolio theory. The use of conditional simulations ensures that geological uncertainty is taken into account, and the application of Markowitz portfolio theory makes drilling funds allocation optimal. The proposed method closes the gap in current research by incorporating the inherent geological uncertainty of an exploration target and mineral economics. |
| first_indexed | 2025-11-14T11:30:01Z |
| format | Thesis |
| id | curtin-20.500.11937-88905 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:30:01Z |
| publishDate | 2022 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-889052022-07-18T02:35:00Z Quantitative Optimisation of Drilling for Brownfields Mineral Exploration Maturana, Francisco Jose This research presents a novel optimisation framework for brownfields exploration drilling. The proposed optimisation methodology has been developed applying geostatistical methods and modern portfolio theory. The use of conditional simulations ensures that geological uncertainty is taken into account, and the application of Markowitz portfolio theory makes drilling funds allocation optimal. The proposed method closes the gap in current research by incorporating the inherent geological uncertainty of an exploration target and mineral economics. 2022 Thesis http://hdl.handle.net/20.500.11937/88905 Curtin University fulltext |
| spellingShingle | Maturana, Francisco Jose Quantitative Optimisation of Drilling for Brownfields Mineral Exploration |
| title | Quantitative Optimisation of Drilling for Brownfields Mineral
Exploration |
| title_full | Quantitative Optimisation of Drilling for Brownfields Mineral
Exploration |
| title_fullStr | Quantitative Optimisation of Drilling for Brownfields Mineral
Exploration |
| title_full_unstemmed | Quantitative Optimisation of Drilling for Brownfields Mineral
Exploration |
| title_short | Quantitative Optimisation of Drilling for Brownfields Mineral
Exploration |
| title_sort | quantitative optimisation of drilling for brownfields mineral
exploration |
| url | http://hdl.handle.net/20.500.11937/88905 |