Water Resources Research · 1996 · 168 citations · 25 references
EngineeringSite CharacterizationContinuum MechanicTracer TransportMechanicsNumerical SimulationStochastic ModelTransport PhenomenaFractured MediumAnomalous DiffusionHydrological ModelingReservoir CharacterizationPhysicsGeographyReservoir SimulationEngineering GeologyHydrologyReservoir ModelingRock PropertiesNatural SciencesCivil EngineeringDiffusion ProcessGeomechanicsContinuum ModelingDynamic Crack PropagationMultiscale Modeling
The study develops a stochastic continuum model of fractured media conditioned on field data to address spatial variability and uncertainty in transport predictions. Using nonparametric indicator geostatistics, fractures and matrix are generated within a single‑continuum framework with a long‑range correlation for the highest 11 % of hydraulic conductivity, and 3‑D tracer transport is simulated from hundreds of point sources, with breakthrough curves described by mean velocity and dispersion. Simulations reveal that while point‑measurement variability is large, spatially integrated transport metrics exhibit reduced variability and are less sensitive to correlation structure, making them more reliable for predicting flow in highly heterogeneous media, and the resulting transport parameters are presented as a statistical distribution quantifying uncertainty.
A stochastic continuum model of a fractured medium conditioned on a specific set of field data is developed. Both the more conductive fractures and the less permeable matrix are generated within the framework of a single‐continuum stochastic model based on nonparametric indicator geostatistics. In the stochastic model the fracture zones are distinguished from the matrix by imposing a long‐range correlation structure for a small fraction (the highest approximately 11%) of the hydraulic conductivity in the preferred planes of fracture zones. Results of flow arid transport simulation in three dimensions (3D) are used to illustrate the large spatial variability of point measurements, but for spatially integrated quantities the variability is reduced and results become less sensitive to correlation structure. Therefore it is suggested that spatially integrated quantities may be a more appropriate choice for predicting flow and transport in a strongly heterogeneous medium in that they are more commensurate with the level of our ignorance of the site. The issue of spatial variability giving rise to uncertainty in the site characterization of a heterogeneous medium and the prediction of transport results is also addressed. Simulations are carried out for 3D transport from point tracer sources at hundreds of locations in the medium. The breakthrough curve from each point source release is characterized by two parameters: the mean transport velocity and the dispersion coefficient. The results are presented as a statistical distribution of the transport parameters, thus quantifying the uncertainty in predicting flow and transport based on a limited amount of site characterization data.
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Porous media equivalents for networks of discontinuous fractures
J.C.S. Long, J.S. Remer, Charles R. Wilson et al. · Water Resources Research · 1982 · 1.1K citations · Full text