Combining different sources of information about the subsurface is an inherent challenge in
the process of making realistic geological and hydrostratigraphic models. Often the available …

The increasing diversity and resolution of spatially distributed data on terrestrial systems
greatly enhance the potential of hydrological modeling. Optimal and parsimonious use of …

We introduce a workflow integrating geological modelling uncertainty information to
constrain gravity inversions. We test and apply this approach to the Yerrida Basin (Western …

This paper proposes and demonstrates improvements for the Monte Carlo simulation for
uncertainty propagation (MCUP) method. MCUP is a type of Bayesian Monte Carlo method …

To support the needs of practitioners regarding 3D geological modelling and uncertainty
quantification in the field, in particular from the mining industry, we propose a Python …

We demonstrate the use of Ensemble Kalman Inversion (EKI) for building three-dimensional,
multi-fault, kinematically restorable structural geologic models, by means of a workflow in …

We propose, test and apply a methodology integrating 1D magnetotelluric (MT) and
magnetic data inversion, with a focus on the characterization of the cover-basement …

Characterizing the zone of damaged and altered rock surrounding a fault surface is highly
relevant to geotechnical and reservoir engineering works in the subsurface. Evaluating the …

We propose, test and apply a methodology integrating 1D magnetotelluric (MT) and
magnetic data inversion, with a focus on the characterisation of the cover–basement …

Dissolution and precipitation processes in reactive transport in porous media are ubiquitous
in a multitude of contexts within the field of Earth sciences. In particular, the dynamic …