Integrating deterministic lithostratigraphic models in stochastic realizations of subsurface heterogeneity. Impact on predictions of lithology, hydraulic heads and groundwater fluxes

摘要: Realistic representations of geological complexity are important to address several engineering and environmental challenges. The spatial distribution properties controlling physical geochemical processes can be effectively described by the structure subsurface. In this work, we present an approach account for in geostatistical simulations categorical variables. is based on extraction information from a deterministic conceptualization subsurface, which then used analysis development models correlation as soft conditioning data. was tested simulate four lithofacies highly heterolithic Quaternary deposits. A transition probability-based stochastic model implemented using hard borehole data extracted 3-D lithostratigraphic model. Simulated distributions were also input flow numerical simulation hydraulic head groundwater flux. outputs these compared corresponding values exclusively Results show that increases accuracy reduces uncertainty predictions. representation allows more precise definition prediction uncertainty, here quantified with metric Shannon entropy. Correlations between uncertainties lithofacies, heads fluxes investigated. results provide useful insights about incorporation into realizations subsurface heterogeneity, emphasize critical importance type reducing considering flux-dependent processes.