Percolation conditions in binary fractal fracture networks: Applications to rock fractures and active and seismogenic faults

摘要: [1] The fracture network patterns in crystalline rock are treated using a binary fractal model described by three geometric parameters: the dimension D of spatial distribution fractures, length distribution, and maximum (lmax) normalized domain (L), lmax/L. We present percolation threshold relationship describing boundary between percolating nonpercolating conditions random networks (RBFFNs) apply this to observations natural fractures. Our results indicate that parameters identified indeed control connectivity networks, hence migration fluids through active seismogenic faults. Moreover, our numerical approach may be applied future investigating fluid associated with seismicity based on determined from earthquake catalog data.