Abstract
Evaluation of underground processes requires numerical modeling based on sophisticated and reliable meshing. Our new GeoMeshPy library focuses on the discretization of probabilistic geological structures. This study presents a synthetic show-case for the capacity of this library to quantify the impact of structural uncertainty. In here, 50 models were developed taking advantage of the computational efficiency of GeoMeshPy. Assuming a geothermal doublet system embedded in a faulted reservoir with unclear structure, recovery time and magnitude of a tracer breakthrough was calculated. Even small angular variations up to ±15° in one of the faults yield differences of up to 26 and 30 percent for peak arrival time and magnitude, respectively. An additional inversion scheme of each of the 50 curves allows quantifying the impact on Péclet number varying from 3.4 to 4.3 due to structural variability. Analytically calculated dispersion coefficients are almost one order of magnitude higher than values used for simulations. Besides this mismatch, calculated dispersion coefficients are unable to represent the structural uncertainty (ranging from 125.6 to 129.4 m).
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