Impact of structural uncertainty on the distribution of the numerically simulated properties
Evaluation of underground processes requires numerical modeling based on sophisticated and reliable meshing. Our new library named GeoMeshPy focuses on the discretization of probabilistic geological structures. This library stitches an open-source code developed for constructing a structural model (GemPy) with a well-known mesh generator (GMSH). This fully automated pipeline enables making high-quality watertight meshes for several geological realizations rather than one single deterministic model. Synthetic show-cases are designed to present the capacity of this library in quantifying the impact of the structural uncertainty, while our models, i.e. assumption of the underground are highly uncertainty-prone due to lack of data, measurement errors, external disturbances, human factors and so on.