Random Boolean Discrete Fracture Network Models cannot reproduce the topological or clustering characteristics of natural fracture systems. Line placement rules have been developed for 2D Boolean fracture models allowing creation of models with widely varying topology, connectivity and clustering for a given fracture intensity and length distribution. Topology is defined by the relative proportions of I-, Y- and X-nodes present. Connectivity is characterised by the proximity of the system to its percolation threshold. Clustering is defined by the coefficient of variation of spacing between fractures measured on a scan-line. A set of numerical experiments has been run to determine the critical connectivity of 2D isotropic fracture systems as a function of fracture length distribution and topology. Differences in fracture clustering emerge from the models. Results indicate that determination of fracture intensity, topology and clustering may be sufficient to determine macroscopic fracture system connectivity irrespective of the fracture length distribution.


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