Journal of Jilin University(Earth Science Edition) ›› 2019, Vol. 49 ›› Issue (5): 1496-1506.doi: 10.13278/j.cnki.jjuese.20180207

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An MPS-Based Simulation Algorithm for 3D Geological Structure with 2D Cross-Sections

Zheng Tiancheng1,2, Hou Weisheng1,2, He Sitong1,2   

  1. 1. School of Earth Sciences and Engineering, Sun Yat-Sen University, Guangzhou 510275, China;
    2. Key Laboratory of Geodynamic Action and Geological Hazards of Guangdong, Guangzhou 510275, China
  • Received:2018-09-29 Published:2019-10-10
  • Supported by:
    Supported by National Natural Science Foundation of China (41772345, 41472300)

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Abstract: Reconstructing 3D spatial distribution of geological phenomena with 3D geological simulation techniques is essential for natural resource management and risk assessment. Based on the spatial structural relationship of multiple points,and combined with stochastic simulation techniques to create different results, multiple-point statistics (MPS) can be used to reconstruct complicated geological phenomena. However, how to build an appropriate and effective training image is the key problem in MPS-based 3D geological simulations. The authors present a modified MPS algorithm, which combines sequential simulation and iterative methods to extend 2D training images into 3D training images, and applies the EM-like algorithm to optimize the simulation of 3D geological structures. The modeling examples show that the simulation grids are conditional to the training images; on which the stratigraphic sequence of the study area is simulated accurately, and the relationship of stratigraphic structures in 2D cross-sections is effectively reconstructed.

Key words: multiple-point statistics, 3D geological structures, 2D geological cross-sections, global optimization

CLC Number: 

  • P628.2
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