Stepwise inversion of a groundwater flow model with multi-scale observation data

摘要: Based on the regional hydrogeology and stratigraphy beneath Los Alamos National Laboratory (LANL) site, New Mexico (USA), a site-scale groundwater model has been built with more than 20 stratified hydrofacies. A stepwise inverse method was developed to estimate permeabilities for these hydrofacies by coupling observation data from different sources at various spatial scales including single-well test, multiple-well pumping test aquifer monitoring data. Statistical analyses of outcrop permeability measurements results were used define prior distributions parameters. These parameter initial values lower upper bounds modeling. number modeling steps performed use drawdown pump tests two wells (PM-2 PM-4) separately, joint inversion PM-2 PM-4 head monitoring. Parameter sensitivity coefficients sets computed analyze if parameters can be estimated accurately provided steps. The offers reasonable fit all sets. uncertainty is addressed confidence intervals.