1983
DOI: 10.1088/0305-4470/16/3/020
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Connectivity of fracture systems-a percolation theory approach

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Cited by 218 publications
(142 citation statements)
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“…Intrafracture connectivity does vary with each aperture model, as sections along a single fracture can be hydraulically closed depending on the critical stress model, forming aperture bottlenecks that affect intrafracture connectivity. In the Barton-Bandis model, the percolation parameter as defined by Robinson [1983] is 1.2, which is relatively close to the interfracture connectivity when all fractures are assumed open (1.7, Table 1). This indicates a low number of flow bottlenecks.…”
Section: Comparison Of Flow Patterns: Coulomb Versus Peak Shearmentioning
confidence: 86%
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“…Intrafracture connectivity does vary with each aperture model, as sections along a single fracture can be hydraulically closed depending on the critical stress model, forming aperture bottlenecks that affect intrafracture connectivity. In the Barton-Bandis model, the percolation parameter as defined by Robinson [1983] is 1.2, which is relatively close to the interfracture connectivity when all fractures are assumed open (1.7, Table 1). This indicates a low number of flow bottlenecks.…”
Section: Comparison Of Flow Patterns: Coulomb Versus Peak Shearmentioning
confidence: 86%
“…All pavements have in common that the majority of Dershowitz and Einstein, 1988]. The percolation probability is defined using normalized intersections as a function of density as defined by [Robinson, 1983] and by using the network saturation. [Guiton et al, 2003;.…”
Section: Application To Realistic Multiscale Fracture Network 241mentioning
confidence: 99%
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“…Another approach to modeling flow and transport in fracture networks, which is able to capture distinct preferential flow paths and channeling, is based on percolation theory [e.g., Engtman et at., 1983; Robinson, 1983Robinson, , 1984Hestir and Long, 1990; Batberg et at., 1991; Berkowitz and Batberg, 1993; Berkowitz, 1995]. In this framework, network structures that are near the percolation threshold display channeling patterns and transport properties that are quantifiable by power law relationships.…”
Section: Paper Number 98wr01648mentioning
confidence: 99%