Research Activities

Modelling subsurface processes across scales

Results of Slip Tendency Analysis in the Eyre Peninsula, from stress orientation and satellite observations at regional scale.

Slip Tendency Analysis using Physics-Based Machine Learning

A slip tendency analysis is a powerful approach to estimate how close a fault is from reactivating, based on its […]

Results from publication on tectonic stresses in Australia

Physics-informed neural network to retrieve tectonic stresses from satellite and stress orientation information

Many geological applications require the current stress information at some specific location, for instance in the contexts of fault reactivation, […]

Impact of permeability anisotropy misalignment on flow rates

Permeability is the most critical parameter controlling fluid flow in porous media. The general form of permeability is anisotropic but […]

Reconciling models and data

Physics based machine learning

Machine learning not only offers novel avenues to accelerate forward modelling of complex geological scenarios but also to infer models […]

Geodata inference

An enormous opportunity exits around developing methods to infer processes from geodata…