›› 2015, Vol. 36 ›› Issue (12): 3633-3638.doi: 10.16285/j.rsm.2015.12.037

• Numerical Analysis • Previous Articles     Next Articles

A fast progressive 3D geological modeling method based on borehole data

TANG Bing-yin1, WU Chong-long2, 3, LI Xin-chuan2, CHEN Qi-yu2, MU Hong-tao4   

  1. 1. Faculty of Earth Resource, China University of Geosciences(Wuhan), Wuhan, Hubei 430074, China; 2. School of Computer Science, China University of Geosciences(Wuhan), Wuhan, Hubei 430074, China; 3. Three Gorges Research Center for Geo-hazard of Ministry of Education, China University of Geosciences(Wuhan), Wuhan, Hubei 430074, China; 4. Henan Hongyang Mining Co., Ltd., Zhengzhou, Henan 450000, China
  • Received:2015-05-26 Online:2015-12-11 Published:2018-06-14
  • Supported by:

    Project supported by the National High Technology Research and Development Program of China (863 Program) (Grant Nos. 2008AA121602 and 2012AA121401).

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Abstract: The 3D geological modeling is one of the key technologies in spatial analysis and visulization of geological data. To improve the speed, efficiency and accuracy of geological modeling, a fast progressive 3D geological modeling method (FPGM) from point to line to surface to body with borehole data has been proposed in this paper. Firstly, the geological profiles are constructed with strata data of boreholes by human-computer interaction, then the real positon of geological profile is restored in 3D space according to the coordinates of the boreholes. After that, using the same strata lines in sections, a series of strata surfaces model are constructed by Kriging interpolation. Based on the steps above, the frame model would be accomplished. Finally, the binary space partitioning (BSP) vector shear technology is adopted to cut the boundary of the model, thus a 3D geological model of study area is constructed. This method has been applied to the construction of 3D geological modeling in Shangjie Town, Fuzhou city, showing that this method can not only realize the fast construction of 3D geological model but also improve the accuracy of the model remarkably.

Key words: 3D geological modeling, Kriging interpolation, fast modeling, binary space partitioning (BSP) vector shear technology

CLC Number: 

  • TU 42
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