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 …

How to reconstruct a credible three-dimensional (3D) geological model from very limited
survey data, eg boreholes, outcrop, and two-dimensional (2D) images, is challenging in the …

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

The radiative infrared cooling of CO 2 in the middle atmosphere, where it emits under non-
local thermodynamic equilibrium (non-LTE) conditions, is a crucial contribution to the energy …

The integration of petrophysical data and probabilistic geological modelling in geophysical
joint inversion is a powerful tool to solve exploration challenges. Models obtained from …

The spatial modeling of geo-domains has become ubiquitous in many geoscientific fields.
However, geo-domains' spatial modeling poses real challenges, including the uncertainty …

Uncertainty assessment is a common requirement in 3D modeling applications. The Markov
chain Monte-Carlo (MCMC) method is a practical way to generate multiple realizations of 3D …

We propose a methodology for the recovery of lithologies from geological and geophysical
modelling results and apply it to field data. Our technique relies on classification using self …

Reconciling rock unit boundary geometry is crucial for geological and geophysical studies
aiming to achieve a comprehensive 3-D subsurface model. To create a unified 3-D …

Volcanoes represent one of the most critical geological settings for hazard modelling due to
their propensity to both unpredictably erupt and collapse, even in times of quiescence …