Percolation conditions in fractured hard rocks: A numerical approach using the three-dimensional binary fractal fracture network (3D-BFFN) model
暂无分享,去创建一个
[1] T. Hirata. Fractal dimension of fault systems in Japan: Fractal structure in rock fracture geometry at various scales , 1989 .
[2] T. Wilson. Scale Transitions in Fracture and Active Fault Networks , 2001 .
[3] K. Mardia. Statistics of Directional Data , 1972 .
[4] T. Utsu. A method for determining the value of b in a formula log n=a-bM showing the magnitude frequency relation for earthquakes , 1965 .
[5] Shinji Nakaya,et al. Percolation conditions in binary fractal fracture networks: Applications to rock fractures and active and seismogenic faults , 2003 .
[6] Y. Kagan. Spatial distribution of earthquakes: the four-point moment function , 1981 .
[7] Olivier Bour,et al. A statistical scaling model for fracture network geometry, with validation on a multiscale mapping of a joint network (Hornelen Basin, Norway) , 2002 .
[8] Fractal on the Spatial Distribution of Fractures in Rock Mass , 1992 .
[9] J. Bloomfield. Characterisation of hydrogeologically significant fracture distributions in the Chalk: an example from the Upper Chalk of southern England , 1996 .
[10] Tom Manzocchi,et al. Scaling relationships of joint and vein arrays from The Burren, Co. Clare, Ireland , 2001 .
[11] J. Kurths,et al. An attractor in a solar time series , 1987 .
[12] P. Davy,et al. Percolation parameter and percolation-threshold estimates for three-dimensional random ellipses with widely scattered distributions of eccentricity and size , 2000, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.
[13] G. S. Watson,et al. The Statistics of Orientation Data , 1966, The Journal of Geology.
[14] Balberg,et al. Universal percolation-threshold limits in the continuum. , 1985, Physical review. B, Condensed matter.
[15] Noelle E. Odling,et al. Scaling and connectivity of joint systems in sandstones from western Norway , 1997 .
[16] Olivier Bour,et al. Connectivity properties of two‐dimensional fracture networks with stochastic fractal correlation , 2003 .
[17] Eleftheria Papadimitriou,et al. Recurrent patterns in the spatial behaviour of Italian seismicity revealed by the fractal approach , 1993 .
[18] Keisuke Ito,et al. Fractal structure of spatial distribution of microfracturing in rock , 1987 .
[19] S. P. Neuman. Universal scaling of hydraulic conductivities and dispersivities in geologic media , 1990 .
[20] T. Sagiya,et al. Crustal deformation caused by magma migration in the northern Izu Islands, Japan , 2001 .
[21] Jean-Raynald de Dreuzy,et al. Hydraulic properties of two‐dimensional random fracture networks following a power law length distribution: 1. Effective connectivity , 2001 .
[22] Keisuke Ito,et al. Multifractal analysis of earthquakes , 1992 .
[23] T. Cladouhos,et al. Are fault growth and linkage models consistent with power-law distributions of fault lengths? , 1996 .
[24] G. Vilardo,et al. Multifractal Approach to Time Clustering of Earthquakes. Application to Mt. Vesuvio Seismicity , 1997 .
[25] S. Nakaya. Spatiotemporal variation in b value within the subducting slab prior to the 2003 Tokachi-oki earthquake (M 8.0), Japan , 2006 .
[26] M. Wyss,et al. Minimum Magnitude of Completeness in Earthquake Catalogs: Examples from Alaska, the Western United States, and Japan , 2000 .
[27] S. Nakaya. Fractal properties of seismicity in regions affected by large, shallow earthquakes in western Japan: Implications for fault formation processes based on a binary fractal fracture network model , 2005 .
[28] Jean-Raynald de Dreuzy,et al. Hydraulic properties of two‐dimensional random fracture networks following a power law length distribution: 2. Permeability of networks based on lognormal distribution of apertures , 2001 .
[29] Olivier Bour,et al. Connectivity of random fault networks following a power law fault length distribution , 1997 .
[30] Binghong Wang,et al. Research into the multifractal of earthquake spatial distribution , 1994 .
[31] B. Bolt,et al. The standard error of the magnitude-frequency b value , 1982 .
[32] Brian Berkowitz,et al. Application of a percolation model to flow in fractured hard rocks , 1991 .
[33] Olivier Bour,et al. On the connectivity of three‐dimensional fault networks , 1998 .
[34] P. C. Robinson. Connectivity of fracture systems-a percolation theory approach , 1983 .
[35] V. Pisarenko,et al. Multifractal patterns of seismicity , 1990 .
[36] M. Imoto,et al. Multifractal analysis of spatial distribution of microearthquakes in the Kanto region , 1991 .
[37] P. R. La Pointe,et al. A method to characterize fracture density and connectivity through fractal geometry , 1988 .
[38] Ryosuke Sato,et al. THEORETICAL BASIS ON RELATIONSHIPS BETWEEN FOCAL PARAMETERS AND EARTHQUAKE MAGNITUDE , 1979 .
[39] J. J. Walsh,et al. Measurement and characterisation of spatial distributions of fractures , 1993 .
[40] Y. Yortsos,et al. Application of Fractal Geometry to the Study of Networks of Fractures and Their Pressure Transient , 1995 .
[41] A. Cisternas,et al. Multifractal analysis of the 1992 Erzincan Aftershock Sequence , 1996 .
[42] A. Wolf,et al. Impracticality of a box-counting algorithm for calculating the dimensionality of strange attractors , 1982 .
[43] S. P. Neuman,et al. Generalized scaling of permeabilities: Validation and effect of support scale , 1994 .
[44] Kenshiro Otsuki,et al. Size and spatial distributions of fault populations: Empirically synthesized evolution laws for the fractal geometries , 2004 .
[45] K. Aki,et al. Fractal geometry in the San Andreas Fault System , 1987 .
[46] Shinji Toda,et al. Evidence from the ad 2000 Izu islands earthquake swarm that stressing rate governs seismicity , 2002, Nature.
[47] Olivier Bour,et al. Scaling of fracture connectivity in geological formations , 2000 .
[48] P. C. Robinson,et al. Numerical calculations of critical densities for lines and planes , 1984 .
[49] Patrizia Tosi,et al. Scaling properties of the spatio-temporal distribution of earthquakes: a multifractal approach applied to a Californian catalogue , 1999 .
[50] M. Mochizuki,et al. Magma Migration from the Point of View of Seismic Activity in the Volcanism of Miyake-jima Island in 2000 , 2001 .
[51] Yan Y. Kagan,et al. Spatial distribution of earthquakes: the two-point correlation function , 1980 .
[52] Cataldo Godano,et al. Mdtifractal analysis of earthquake catalogues , 1995 .
[53] P. Grassberger,et al. Measuring the Strangeness of Strange Attractors , 1983 .
[54] R. Allmendinger,et al. Amount of extension on small faults: An example from the Viking graben , 1992 .
[55] T. Hashimoto,et al. Temporal variation of multifractal properties of seismicity in the region affected by the mainshock of the October 6, 2000 Western Tottori Prefecture, Japan, earthquake (M = 7.3) , 2002 .
[56] A. Takada. Variations in magma supply and magma partitioning: the role of tectonic settings , 1999 .
[57] K. Aki. 17. Maximum Likelihood Estimate of b in the Formula logN=a-bM and its Confidence Limits , 1965 .
[58] Monica Iris Reyes Bello,et al. Tectonic model and three-dimensional fracture network analysis of Monte Alpi (southern Apennines) , 2000 .