东北大学学报:自然科学版 ›› 2018, Vol. 39 ›› Issue (5): 726-730.DOI: 10.12068/j.issn.1005-3026.2018.05.024

• 资源与土木工程 • 上一篇    下一篇

动态精化的煤层三维建模方法

贾庆仁, 车德福, 李佳徐, 陈凯   

  1. (东北大学 资源与土木工程学院, 辽宁 沈阳110819)
  • 收稿日期:2017-05-16 修回日期:2017-05-16 出版日期:2018-05-15 发布日期:2018-05-25
  • 通讯作者: 贾庆仁
  • 作者简介:贾庆仁(1990-),男,山东日照人,东北大学博士研究生; 车德福(1970-),男,山东海阳人,东北大学教授.
  • 基金资助:
    国家自然科学基金资助项目(51474050,U1602232);中央高校基本科研业务费专项资金资助项目(N160106002).

Three-Dimensional Modeling Method of Coal Seam with Gradual Refinement

JIA Qing-ren, CHE De-fu, LI Jia-xu, CHEN Kai   

  1. School of Resources & Civil Engineering, Northeastern University, Shenyang 110819, China.
  • Received:2017-05-16 Revised:2017-05-16 Online:2018-05-15 Published:2018-05-25
  • Contact: CHE De-fu
  • About author:-
  • Supported by:
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摘要: 现有的煤层建模方法大都从多源数据中提取点或边界来构建实体模型,对开采过程中煤层动态变化的过程缺乏足够关注.提出一种逐步细化的煤层精细建模方法,首先,对开采边界内进行网格划分后将其转换为三角网,通过全局数据中提取的采样点和普通克里金法对三角网节点的高程及厚度属性进行插值,之后将其拓展为三棱柱作为初始煤层模型;其次,确认开采数据的影响范围,并对初始模型进行动态修正.在唐山市钱家营煤矿进行应用的结果表明,该方法充分运用了开采数据,使煤层的真实变化能够及时反映在煤层三维模型上,提高模型的精度.

关键词: 多源数据, 煤层建模, 普通克里金法, 断层模拟, 变异函数

Abstract: The existing coal seam modeling methods using discrete points or geological boundaries from multi-source data lack enough attention to the dynamic changes of coal seam in the mining process. A new 3D coal seam fine modeling method is proposed. Firstly, creating regional grid of the mining area and converted to triangulated irregular network (TIN),inter polating attributes of TIN nodes (elevation and thickness)using ordinary Kriging method,and then a generalized tri-prism(GTP) model of coal seam will be built as the initial model. Secondly, the initial model is refined gradually by the dynamic data within the influence domain of these data. A prototype system is created and implemented in Qianjiaying coal mine, Tangshan, China. The result shows that this method can accurately reflect the change of 3D coal seam model from the dynamic data, thus the accuracy of the 3D coal seam model can be improved gradually.

Key words: multi-source data, coal seam modeling, ordinary kriging, fault simulation;variogram

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