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A semi-automatic method for 3D modeling and visualizing complex geological bodies

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Abstract

The technology of 3D geological modeling is a powerful tool for representing the geological structures and subsurface strata distribution, which can effectively assist in the geological interpretation and analysis work. However, most existing modeling methods usually need the supports of professional geological modeling software. These systems often have tedious data preprocessing, complex modeling and visualization processes, and non-professionals have difficulty mastering them in a short time. In order to improve the operability and intuitiveness for 3D geological modeling and visualization, this paper proposes a semi-automatic method for 3D modeling and visualizing complex geological bodies by combining typical GIS systems and 3D modeling software such as ArcGIS and SketchUp. First, the Python object-oriented program language and Arcpy package are combined for preprocessing borehole data automatically. Next, the multiple 3D analysis and file conversion tools of Arctoolbox and ModelBuilder are combined for constructing a model to generate strata interfaces. Then, the makefaces and Boolean plug-ins of SketchUp are combined for semi-automatically constructing the 3D model of complex geological bodies and implementing various forms of visualization. Last, the borehole data and geological maps acquired from the geological survey are used for testing our modeling method. The modeling processes and results show that the method can quickly construct the 3D model of complex geological bodies with very complex geological structures such as missing strata, faults and lenses. This paper shows the simplicity and practicality of the proposed method for modeling and visualizing complex geological bodies.

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References

  • Alan ML, Norman LJ (2003) Building solid models from boreholes and user-defined cross-sections. Comput Geosci 29(5):547–555

    Article  Google Scholar 

  • Cheng PG, Wang CG, Gan WJ et al (2005) A hybrid 3D data model based on multi-DEMs and QTPVs and its application in geological modeling. J Jilin Univ (Earth Sci Ed) 35(6):806–811

    Google Scholar 

  • Choi Y, Yoon SY, Park HD (2009) Tunneling analyst: a 3D GIS extension for rock mass classification and fault zone analysis in tunneling. Comput Geosci 35(6):1322–1333

    Article  Google Scholar 

  • Galera C, Bennis C, Moretti I, Mallet JL (2003) Construction of coherent 3D geological blocks. Comput Geosci 29(8):971–984

    Article  Google Scholar 

  • Gong JY, Cheng PG, Wang YD (2004) Three-dimensional modeling and application in geological exploration engineering. Comput Geosci 30(4):391–404

    Article  Google Scholar 

  • Hou WS, Yang L, Deng DC et al (2016) Assessing quality of urban underground spaces by coupling 3D geological models: the case study of Foshan city, South China. Comput Geosci 89:1–11

    Article  Google Scholar 

  • Houlding SW (1994) 3D geoscience modeling, computer techniques for geological characterization. Springer, New York

    Book  Google Scholar 

  • Kaufmann O, Martin T (2008) 3D geological modelling from boreholes, cross-sections and geological maps, application over former natural gas storages in coal mines. Comput Geosci 34(1):70–823

    Article  Google Scholar 

  • Lázaro JM, Navarro JÁS, Gil AG et al (2014) 3D-geological structures with digital elevation models using GPU programming. Comput Geosci 70(C):138–146

    Article  Google Scholar 

  • Li PJ (2000) Three dimensional modeling and visualization for stratified geological objects. Earth Sci Front 7(S):271–277

    Google Scholar 

  • Mallet JL (2002) Geomodeling. Oxford University Press, New York

    Google Scholar 

  • Martin-Izard A, Arias D, Arias M et al (2015) A new 3D geological model and interpretation of structural evolution of the world-class Rio Tinto VMS deposit, Iberian Pyrite Belt (Spain). Ore Geol Rev 71:457–476

    Article  Google Scholar 

  • Mccarthy JD, Graniero PA (2006) A GIS-based borehole data management and 3D visualization system. Comput Geosci 32(10):1699–1708

    Article  Google Scholar 

  • Tonini A, Guastaldi E, Massa G et al (2008) 3D geo-mapping based on surface data for preliminary study of underground works: a case study in Val Topina (Central Italy). Eng Geol 99(1):61–69

    Article  Google Scholar 

  • Wang GW, Huang LT (2012) 3D geological modeling for mineral resource assessment of the Tongshan cu deposit, Heilongjiang Province, China. Geosci Front 03(4):483–491

    Article  Google Scholar 

  • Wang BJ, Shi B, Song Z (2009) A simple approach to 3D geological modelling and visualization. Bull Eng Geol Environ 68(4):559–565

    Article  Google Scholar 

  • Wu LX (2004) Topological relations embodied in a generalized tri-prism (GTP) model for a 3D geoscience modeling system. Comput Geosci 30(4):405–418

    Article  Google Scholar 

  • Wu Q, Xu H (2003) An approach to computer modeling and visualization of geological faults in 3D. Comput Geosci 29(4):503–509

    Article  Google Scholar 

  • Wu Q, Xu H, Zou XK (2005) An effective method for 3D geological modeling with multi-source data integration. Comput Geosci 31(1):35–43

    Article  Google Scholar 

  • Wu LX, Zhang RX, Qi YX et al (2002) 3D geoscience modelling and virtual mine system. Acta Geodaet Cartograph Sin 31(1):28–33 (in Chinese)

    Google Scholar 

  • Xiao K, Nan L, Alok P, Holden E-J, Bagas L, Lu Y (2015) GIS-based 3D prospectivity mapping: a case study of Jiama copper-polymetallic deposit in Tibet, China. Ore Geology Reviews 71(3):611–632.

    Article  Google Scholar 

  • Xu NX, Tian H (2009) Wire frame: a reliable approach to build sealed engineering geological models. Comput Geosci 35(8):1582–1591

    Article  Google Scholar 

  • Xu NX, Tian H, Kulatilake PHSW et al (2011) Building a three dimensional sealed geological model to use in numerical stress analysis software: a case study for a dam site. Comput Geotech 38(8):1022–1030

    Article  Google Scholar 

  • Yang XD, Hu LT, Tang ZH (2006) 3D modelling and visualization of stratum based on java/java 3D. Acta Geodaet Cartograph Sin 35(2):166–170 (in Chinese)

    Google Scholar 

  • Zanchi A, Francesca S, Stefano Z et al (2009) 3D reconstruction of complex geological bodies: examples from the alps. Comput Geosci 35(1):49–69

    Article  Google Scholar 

  • Zhu LF, Pan X, Wu XC (2006) Design and development of 3D geological modeling and visualization system. Rock Soil Mech (27, 5):829–831 (in Chinese)

  • Zhu LF, Zhang C, Li M et al (2012) Building 3D solid models of sedimentary stratigraphic systems from borehole data: an automatic method and case studies. Eng Geol 127(1):1–13

    Article  Google Scholar 

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Acknowledgments

This research was supported by the Natural Science Foundation of China and the Natural Science Foundation of Jiangsu Province of China (grant numbers 41601501 and 13KJD520002). The authors wish to thank the Geological Exploration Technology Institute of Jiangsu Province for providing the borehole data and geological maps used to test the modeling method of this paper, and also thank the editors and reviewers for their work on our paper.

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Authors and Affiliations

  1. School of Urban and Environmental Science of Huaiyin Normal University, Huaian, 223300, China

    Song Renbo, Qin Xiaoqian, Yeqing Tao, Xiyuan Wang, Biao Yin, Yuexiang Wang & Wenhui Li

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  1. Song Renbo
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  2. Qin Xiaoqian
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  3. Yeqing Tao
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  4. Xiyuan Wang
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  5. Biao Yin
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  6. Yuexiang Wang
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  7. Wenhui Li
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Correspondence to Song Renbo.

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Song, R., Qin, X., Tao, Y. et al. A semi-automatic method for 3D modeling and visualizing complex geological bodies. Bull Eng Geol Environ 78, 1371–1383 (2019). https://doi.org/10.1007/s10064-018-1244-3

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  • DOI: https://doi.org/10.1007/s10064-018-1244-3

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