Supervisors: Laurent Ailleres, Lachlan Grose and Robin Armit
Structural geological modelling can be framed as an inverse problem where a model describing the 3D distribution of rock units is non-uniquely derived from geological observations. The inversion framework provides a powerful platform for integrating both geological knowledge and observations into the structural modeling algorithms. Rather than producing a single best fit geological model the geological inversion an inversion scheme all possible model geometries given the available knowledge and data. Geological inversions will have important application to joint geological and geophysical inversion, and can also be used during field mapping to help guide the geologists while mapping.
We are looking for candidates with a background in structural geology skills and knowledge of university level mathematics, statistics or computer science to work on applying and developing structural inversion tools. The focus of the project will be incorporating fault networks into the inversion scheme. This will involve developing statistical methods for identifying and inferring fault geometries from structural observations, including the topological relationship between faults and other geological structures (folds, unconformities etc). The primary focus of the project is to incorporate geological rules, knowledge and observations into the geological inversion scheme.