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Alternative 3D modeling approaches based on complex multi-source geological data interpretation

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Abstract

Due to the complex nature of multi-source geological data, it is difficult to rebuild every geological structure through a single 3D modeling method. The multi-source data interpretation method put forward in this analysis is based on a database-driven pattern and focuses on the discrete and irregular features of geological data. The geological data from a variety of sources covering a range of accuracy, resolution, quantity and quality are classified and integrated according to their reliability and consistency for 3D modeling. The new interpolation-approximation fitting construction algorithm of geological surfaces with the non-uniform rational B-spline (NURBS) technique is then presented. The NURBS technique can retain the balance among the requirements for accuracy, surface continuity and data storage of geological structures. Finally, four alternative 3D modeling approaches are demonstrated with reference to some examples, which are selected according to the data quantity and accuracy specification. The proposed approaches offer flexible modeling patterns for different practical engineering demands.

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Authors and Affiliations

  1. State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin, 300072, China

    Mingchao Li  (李明超), Yanqing Han  (韩彦青) & Zhengjian Miao  (缪正建)

  2. Tianjin Dredging Co. Ltd, Tianjin, 300042, China

    Wei Gao  (高 伟)

Authors
  1. Mingchao Li  (李明超)
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  2. Yanqing Han  (韩彦青)
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  3. Zhengjian Miao  (缪正建)
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  4. Wei Gao  (高 伟)
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Corresponding author

Correspondence to Mingchao Li  (李明超).

Additional information

Supported by the National Natural Science Foundation of China (No. 51379006 and No. 51009106), the Program for New Century Excellent Talents in University of Ministry of Education of China (No. NCET-12-0404), and the National Basic Research Program of China (“973” Program, No. 2013CB035903).

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Li, M., Han, Y., Miao, Z. et al. Alternative 3D modeling approaches based on complex multi-source geological data interpretation. Trans. Tianjin Univ. 20, 7–14 (2014). https://doi.org/10.1007/s12209-014-2171-4

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  • DOI: https://doi.org/10.1007/s12209-014-2171-4

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