New publication by Sofia Brisson in 'Applied Computing and Geosciences'

 

Abstract

Geological modeling commonly results in a single 2D prescribed geometric representation of the subsurface without consideration of uncertainties. Implicit modeling using GemPy can be used to create automated 3D model realizations, and multiple models can be assessed within an assigned uncertainty range. In this study, we build an implicit 3D model of a portion of the Eastern Alps Subalpine Molasse, for the first time, within a probabilistic framework that includes a full assessment of uncertainties.
Implicit modeling, however, often yields artifacts that lead to geologically unrealistic scenarios. Geological topology can be used to constrain modeling outputs to eliminate models with artifacts from the final model ensemble. A synthetic experiment was designed to determine what combination of topological information is necessary to reject all non-meaningful models, without compromising the possible range of geological diversity.
Shannon cell entropy can be used to capture areas of lower or higher uncertainty. By using a topological constraint, high entropy due to artifact-prone areas is eliminated and entropy can thus be reliably assessed. Areas of high entropy can be linked to the triangle zone and to areas where there is a lack of data.