DocumentCode :
2919864
Title :
Rock Porosity and Fracture Parameter Estimation by Image Technique
Author :
Wang, W.X. ; Jia, Z.P.
Author_Institution :
Henan Polytech. Univ., JiaoZuo, China
Volume :
2
fYear :
2009
fDate :
21-22 Nov. 2009
Firstpage :
563
Lastpage :
566
Abstract :
To estimate rock porosity in 2D and 3D, we used image technique to analyse rock fracture network. 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, 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 fracture network is characterized. In the following, we first present a basic consideration and the basic parameters for fractures (Primary study of characteristics of rock fractures), then, setup a model for fracture network analysis (Fracture network analysis), consequently to use the model to analyse fracture network in different images (Two dimensional fracture network analysis based on slices), and finally give conclusions and suggestions.
Keywords :
fracture; geotechnical engineering; image processing; mechanical engineering computing; parameter estimation; porosity; rocks; Best fit Ferret method; fracture network complexity; fracture network connectivity; fracture network density; fracture network porosity; fracture parameter estimation; image technique; rock fracture network analysis; rock porosity estimation; skeleton fractures; Displays; Image analysis; Image processing; Lightning; Nuclear measurements; Parameter estimation; Skeleton; Testing; Transportation; Uncertainty; fracture; image; porocity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Technology Application, 2009. IITA 2009. Third International Symposium on
Conference_Location :
Nanchang
Print_ISBN :
978-0-7695-3859-4
Type :
conf
DOI :
10.1109/IITA.2009.441
Filename :
5369568
Link To Document :
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