The main aim of this project is to explicitly investigate the application of innovative mathematical, geophysical and statistical approaches to diverse geoscience datasets. The focus is on alternate strategies that operate alongside currently used inversion techniques, with the aim of maximising opportunity, i.e. suggesting useful answers that may be missed using traditional techniques.
A highlight of the year was Anya Reading’s feature article for the Australian Society of Exploration Geophysicists on the wider concepts behind turning geophysical data into geological information, which was published in the April issue of Preview.
Matthew Cracknell’s work on using machine learning strategies to probe disparate, multilayered datasets has progressed well, with new algorithms being developed that enable linear features to be extracted from geophysical data. This work was presented at the IUGG meeting in Melbourne in July.
| Project Leaders | Anya Reading |
|---|---|
| Members | Matthew Cracknell |
| External Collaborators / Partners | Malcolm Sambridge |