HR: 11:35h
AN: H12A-06    [Abstracts]
TI: Upscaling Flow and Transport Parameters for Fracture Network Systems
AU: * Dai, Z
EM: daiz@lanl.gov
AF: Los Alamos National Laboratory, Hydrology and Geochemistry Group, Earth and Environmental Sciences Division, Los Alamos, NM 87545, United States
AU: Wolfsberg, A
EM: awolf@lanl.gov
AF: Los Alamos National Laboratory, Hydrology and Geochemistry Group, Earth and Environmental Sciences Division, Los Alamos, NM 87545, United States
AU: Lu, Z
EM: zhiming@lanl.gov
AF: Los Alamos National Laboratory, Hydrology and Geochemistry Group, Earth and Environmental Sciences Division, Los Alamos, NM 87545, United States
AU: Zyvoloski, G
EM: gaz@lanl.gov
AF: Los Alamos National Laboratory, Hydrology and Geochemistry Group, Earth and Environmental Sciences Division, Los Alamos, NM 87545, United States
AU: Reimus, P
EM: preimus@lanl.gov
AF: Los Alamos National Laboratory, Hydrology and Geochemistry Group, Earth and Environmental Sciences Division, Los Alamos, NM 87545, United States
AB: The scale dependence of flow and transport parameters in fractured rock has been observed at variable scales from column experiments to field tracer tests. To test concepts of parameter scaling from bench-scale fractured- rock column experiments to fracture network characterization to kilometer-scale predictions, we have developed a multi-scale transition probability model to simulate the geometry of fracture network systems (2D at this time) and at the same time to upscale the fracture apertures and fracture block proportions. Flow and reactive solute transport in the upscaled fracture network are simulated with a novel generalized dual-porosity model (GDPM) implemented in Los Alamos National Laboratory's FEHM groundwater flow and transport simulator. The GDPM formulation provides high numerical resolution in secondary matrix nodes near the primary fracture nodes, which enables highly efficient and accurate simulations of diffusive concentration fronts moving between fractures and matrix material. In this presentation, we first describe the geometry simulation of a two-family orthogonal fracture network with an indicator Kriging method based on the multi-scale transition probability model. Then we evaluate upscaling methodologies for flow and transport in the fracture network system that account for heterogeneity in diffusion coefficients, apertures, and radionuclide sorption parameters. The developed methodologies will have broad applications for modeling flow and reactive solute transport in the fractured rocks.
DE: 1829 Groundwater hydrology
DE: 1869 Stochastic hydrology
DE: 3265 Stochastic processes (3235, 4468, 4475, 7857)
DE: 5104 Fracture and flow
DE: 5139 Transport properties
SC: Hydrology [H]
MN: 2007 Fall Meeting