TRACER TRANSPORT IN A STOCHASTIC CONTINUUM MODEL OF FRACTURED MEDIA

Citation
Yw. Tsang et al., TRACER TRANSPORT IN A STOCHASTIC CONTINUUM MODEL OF FRACTURED MEDIA, Water resources research, 32(10), 1996, pp. 3077-3092
Citations number
35
Categorie Soggetti
Limnology,"Environmental Sciences","Water Resources
Journal title
ISSN journal
00431397
Volume
32
Issue
10
Year of publication
1996
Pages
3077 - 3092
Database
ISI
SICI code
0043-1397(1996)32:10<3077:TTIASC>2.0.ZU;2-B
Abstract
A stochastic continuum model of a fractured medium conditioned on a sp ecific set of field data is developed. Both the more conductive fractu res and the less permeable matrix are generated within the framework o f a single-continuum stochastic model based on nonparametric indicator geostatistics. In the stochastic model the fracture zones are disting uished 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 flo w and transport simulation in three dimensions (3D) are used to illust rate the large spatial variability of point measurements, but for spat ially integrated quantities the variability is reduced and results bec ome 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 predict ion of transport results is also addressed. Simulations are carried ou t for 3D transport from point tracer sources at hundreds of locations in the medium. The breakthrough curve from each point source release i s characterized by two parameters: the mean transport velocity and the dispersion coefficient. The results are presented as a statistical di stribution of the transport parameters, thus quantifying the uncertain ty in predicting flow and transport based on a limited amount of site characterization data.