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Proceedings Paper

Rock fracture image acquisition and analysis
Author(s): W. Wang; Jia Zongpu; Liwan Chen
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Paper Abstract

As a cooperation project between Sweden and China, this paper presents: rock fracture image acquisition and analysis. Rock fracture images are acquired by using UV light illumination and visible optical illumination. To present fracture network reasonable, we set up some models to characterize the network, based on the models, we used Best fit Ferret method to auto-determine fracture zone, then, through skeleton fractures to obtain endpoints, junctions, holes, particles, and branches. Based on the new parameters and a part of common parameters, the fracture network density, porosity, connectivity and complexities can be obtained, and the fracture network is characterized. In the following, we first present a basic consideration and basic parameters for fractures (Primary study of characteristics of rock fractures), then, set up a model for fracture network analysis (Fracture network analysis), consequently to use the model to analyze fracture network with different images (Two dimensional fracture network analysis based on slices), and finally give conclusions and suggestions.

Paper Details

Date Published: 14 November 2007
PDF: 10 pages
Proc. SPIE 6722, 3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Advanced Optical Manufacturing Technologies, 67223J (14 November 2007); doi: 10.1117/12.783561
Show Author Affiliations
W. Wang, Henan Polytechnic Univ. (China)
Jia Zongpu, Henan Polytechnic Univ. (China)
Liwan Chen, Chongqing Three Gorges Univ. (China)


Published in SPIE Proceedings Vol. 6722:
3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Advanced Optical Manufacturing Technologies

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