Modeling spatial fracture intensity as a control on flow in fractured rock
Spatial fracture intensity ( P 32 , fracture area by volume) is an important characteristic of a jointed rock mass. Although it can hardly ever be measured, P 32 can be modeled based on available geological information such as spatial data of the fracture network. Flow in a mass composed of low-perm...
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Veröffentlicht in: | Environmental earth sciences 2011-07, Vol.63 (6), p.1199-1211 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Spatial fracture intensity (
P
32
, fracture area by volume) is an important characteristic of a jointed rock mass. Although it can hardly ever be measured,
P
32
can be modeled based on available geological information such as spatial data of the fracture network. Flow in a mass composed of low-permeability hard rock is controlled by joints and fractures. In this article, models were developed from a geological data set of fractured andesite in LanYu Island (Taiwan) where a site is investigated for possible disposal of low-level and intermediate-level radionuclide waste. Three different types of conceptual models of spatial fracture intensity distribution were generated, an Enhanced Baecher’s model (EBM), a Levy–Lee Fractal model (LLFM) and a Nearest Neighborhood model (NNM). Modeling was conducted on a 10 × 10 × 10 m synthetic fractured block. Simulated flow was forced by a 1% hydraulic gradient between two vertical
x
–
z
faces of the cube (from North to South) with other boundaries set to no-flow conditions. Resulting flow vectors are very sensitive to spatial fracture intensity (
P
32
). Flow velocity increases with higher fracture intensity (
P
32
). R-squared values of regression analysis for the variables velocity (
V
/
V
max
) and fracture intensity (
P
32
) are 0.293, 0.353, and 0.408 in linear fit and 0.028, 0.08, and 0.084 in power fit. Higher
R
2
values are positively linked with structural features but the relation between velocity and fracture intensity is non-linear. Possible flow channels are identified by stream-traces in the Levy–LeeFractal model. |
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ISSN: | 1866-6280 1866-6299 |
DOI: | 10.1007/s12665-010-0794-x |