Bayesian inference

All models are wrong: Testing your assumptions (keynote)

Approaching earth science problems in a “data-driven” philosophy can help glean new insights into our problem and quantify uncertainty.

Adjoint inversion of the thermal structure of Southeastern Australia

An efficient inversion framework that gives improved estimates of the thermal state of the crust in Victoria using heat flow measurements and Curie depth in a joint inversion using 3D geological models, and numerical models of thermal diffusion. The outcome of this work is an estimation of the basal heat flux, thermal properties and the heat production rates for the various domains in the model together with uncertainty information.

Reducing the uncertainty of lithospheric thermal structure: integrated modelling from geothermal, magnetic, and seismic data