Abstract
Fracture networks often are hierarchical and always present some kinds of scaling invariance. To consider these special characteristics, a geomathematical method is proposed in this paper to simulate the fracture distribution. The method mainly consists of: simulation of location, direction, aperture, and fracture connectivity, just as the application in Gaosong Triassic dolomite. The fracture locations are simulated using SGS method; the fracture strikes are simulated using principle component analysis method and Ordinary Kriging method. From the result, simulated fracture distribution corresponds well to hydraulic conductivity map, real fracture zone, and spring water distribution.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Koike K, Liu C, Sanga T (2011) Incorporation of fracture directions into 3D geostatistical methods. Environ Earth Sc 7(2):11–14
Chen J, Lu P, Wu W, Zhao J, Q Hu (2007) A 3-D prediction method for blind orebody based on 3-D visualization model and its application. Earth Sci Frontiers 14(5):54–62
Long JCS, Billaux DM (1987) From field data to fracture network modeling: an example incorporating spatial structure. Water Resour Res 23(7):1201–1216
Clemo T, Smith L (1997) A hierarchical model for solute transport in fractured media. Water Resour Res 33(8):1763–1783
Lee JS, Veneziano D, Einstein HH (1990) Hierarchical fracture trace model. In: Hastrulid W, Johnson GA (eds) Rock mechanics contributions and challenges, Proceedings of the 31th US rock mechanics symposium, vol 8, 5th edn. Balkema and Rotterdam, pp 234–240
Liu Z, JIA J, Li D (2011) Discussion about strata thickness reduction model of Putaohua oillayer of Sanzhao Sag in Songliao Basin. Procedia Earth Planet Sci 2(3):235–240
Tran NH, Chen Z, Rahman SS (2006) Integrated conditional global optimisation for discrete fracture network modeling. Comput Geosci 3(2):17–27
Riley MS (2004) An algorithm for generating rock fracture patterns: mathematical analysis. Math Geol 36(6):45–50
Chiles JP (1988) Fractal and geostatistical methods for modeling of a fracture network. Math Geol 20(6):631–654
Rouleau A, Gale JE (1985) Statistical characterization of the fracture system in the stripa granite, Sweden. Int J Rock Mech Min Sci Geomech Abstr 22(3):353–367
Journel AG, Huijbregts CJ (1978) Mining geostatistics, vol 8, 3rd edn. Academic Press, pp 3–8
Acuna J, Yortsos Y (1995) Application of fractal geometry to the study of networks of fractures and their pressure transient. Water Resour Res 31(3):527–540
Acknowledgments
The author wishes to express sincere thanks to Project 40902058 supported by National Natural Science Foundation of China for the research activities.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ni, C., Liu, C., Zhang, S., Fu, C. (2013). 3D Simulation of Rock Fractures Distribution in Gaosong Field, Gejiu Ore District. In: Yang, Y., Ma, M. (eds) Proceedings of the 2nd International Conference on Green Communications and Networks 2012 (GCN 2012): Volume 1. Lecture Notes in Electrical Engineering, vol 223. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35419-9_21
Download citation
DOI: https://doi.org/10.1007/978-3-642-35419-9_21
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35418-2
Online ISBN: 978-3-642-35419-9
eBook Packages: EngineeringEngineering (R0)