›› 2017, Vol. 38 ›› Issue (4): 1218-1225.doi: 10.16285/j.rsm.2017.04.037

• Numerical Analysis • Previous Articles     Next Articles

A fine 3D geological modeling method based on TIN-CPG hybrid spatial data model

TANG Bing-yin1, 2, WU Chong-long3, 4, LI Xin-chuan3   

  1. 1. School of Software, Nanyang Institute of Technology, Nanyang, Henan 473004, China; 2. Faculty of Earth Resources, China University of Geosciences(Wuhan), Wuhan, Hubei 430074, China; 3. College of Computer Science, China University of Geosciences(Wuhan), Wuhan, Hubei 430074, China; 4. Three Gorges Research Center for Geo-hazard of Ministry of Education, China University of Geosciences(Wuhan), Wuhan, Hubei 430074, China
  • Received:2015-05-25 Online:2017-04-11 Published:2018-06-05
  • Supported by:

    This work was supported by the National High Technology Research and Development Program of China (863 Program) (2008AA121602).

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Abstract: The construction of fine 3D geological modeling is one of challenges in realizing true 3D visualization of geological body. Based on Triangulate Irregular Network (TIN) and Corner Point Grid (CPG) spatial data model, we propose a hybrid spatial data model for constructing fine 3D geological model. Firstly, a tectonic-stratigraphic framework model is set up based on TIN. Then, the framework model is converted into fine volumetric 3D geological model based on CPG voxel data model, and thus the fine expression of inner space of 3D geological body is achieved. During the converting process, it is necessary to define the order of strata. The mesh of the geological body is further realized by calculating the spatial coordinate of each grid cell and validating and saving data file in GRDECL format. Finally, the fine geological model is displayed by inputting the file into QuantyView3D system. A fine 3D hydrogeological model of the key area of a coastal city is constructed successfully by using the proposed method, and the feasibility of this method is verified.

Key words: triangulate irregular network (TIN), corner point grid (CPG), TIN-CPG hybrid spatial data model, fine 3D geological modeling

CLC Number: 

  • P 642

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