Data analysis and numerical simulation of surface and downhole discontinuity parameters─A case study of granitic gneiss in east Kinmen.

碩士 === 國立中正大學 === 地震研究所暨應用地球物理研究所 === 96 === Based on fracture data in east Kinmen measured by surface scanline and borehole camera, this study analyzed statistical properties of fracture parameters of granitic gneiss, and established three-dimensional discrete fracture network model to investigate...

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Bibliographic Details
Main Authors: Sung-yang Huang, 黃淞洋
Other Authors: Tai-sheng Liou
Format: Others
Language:zh-TW
Published: 2008
Online Access:http://ndltd.ncl.edu.tw/handle/15907524079504753121
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Summary:碩士 === 國立中正大學 === 地震研究所暨應用地球物理研究所 === 96 === Based on fracture data in east Kinmen measured by surface scanline and borehole camera, this study analyzed statistical properties of fracture parameters of granitic gneiss, and established three-dimensional discrete fracture network model to investigate spatial distribution features of the fractured rock. Results showed that the surface rock body exists two nearly vertical fracture sets and two medium-low angle fracture sets whose orientation are (204°, 90°), (113°, 86°), (187°, 41°) , and (41°, 2°); the deep rock mass exists four nearly vertical fracture sets and one low angle fracture set whose orientation are (352°, 79°), (171°, 64°), (102°, 65°), (250°, 81°), and (199°, 17°). In addition, the parameters analysis of fracture also revealed that fracture spacing and fracture trace length of the surface rock and fracture are more appropriate to describe by log-normal distribution, same as fracture aperture of deep rock mass. If fracture geometory is idealized as a disk, the disk center is the fracture center and disk diameter distribution can be assumed as log-normal distribution according to analysis of surface fracture. Geostatistical analysis showed that fracture spacing of borehoe data is spatially correlated, and infer that the spatial distribution of fracture center is non-random. According to the mothed of Probability Field Simulation (Deutsch and Journel, 1998), define the simulated grid size as 2 m