Quantifying and representing uncertainty for geothermal systems is often ignored, in
practice, during the exploration phase of a geothermal development project. We propose …

The Earth below ground is the subject of interest for many geophysical as well as geological
investigations. Even though most practitioners would agree that all available information …

With the continuous exploitation of surface and shallow mineral resources, the global
demand for concealed ore deposit exploration is increasing. However, concealed mineral …

The representation of subsurface structures is an essential aspect of a wide variety of
geoscientific investigations and applications, ranging from geofluid reservoir studies, over …

Using geophysical inversion for three-dimensional (3D) geological modeling is an effective
way to model underground geological structures. In this study, we propose and investigate a …

Abstract Three-dimensional (3D) geological models are typical data sources in 3D mineral
prospectivity modeling. However, identifying prospectivity-informative predictor variables …

Earth scientists increasingly deal with 'big data'. For spatial interpolation tasks, variants of
kriging have long been regarded as the established geostatistical methods. However …

Traditional approaches to develop 3D geological models employ a mix of quantitative and
qualitative scientific techniques, which do not fully provide quantification of uncertainty in the …

At a regional scale, the best predictor for the 3D geology of the near-subsurface is often the
information contained in a geological map. One challenge we face is the difficulty in …

Unlike some other well-known challenges such as facial recognition, where Machine
Learning and Inversion algorithms are widely developed, the geosciences suffer from a lack …