首页|基于GemPy的柳江盆地隐式三维地质建模

基于GemPy的柳江盆地隐式三维地质建模

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秦皇岛柳江盆地已有的三维地质建模研究较宽泛,模型精度较低.前人普遍采用显式建模方法对整个柳江盆地区域进行建模,受限于建模方法与研究区域,建模结果较为简单,断层等地质构造未完整呈现,精度较低且无法进行更新优化.选取柳江盆地的潮水峪区域,利用GemPy开源Python库进行隐式地质建模.以遥感影像和区域地质资料为数据源,通过多源数据处理生成地质体界限点与虚拟钻孔,从而初步建立模型,并结合地质认知对地层界限与断层进行修正,最终构建出更符合实际的、可交互的三维地质模型,较好地还原了地层分布产状、断层关系与侵入岩体,加深了对潮水峪地区的地质认知.
Implicit 3D geological modeling of the Liujiang Basin based on GemPy
The existing research on three-dimensional geological modeling in Liujiang Basin of Qinhuangdao is extensive but the model accuracy is low.Researchers generally adopted the explicit method to model the entire Liujiang Basin region.Limited by the modeling method and study area,the modeling results were relatively simple,and the geological structures such as faults were not presented completely,with low accuracy and unable to be updated and optimized.The Chaoshui valley area of Liujiang Basin is selected and the GemPy open source Python is used for implicit geological modeling.Using remote sensing images and regional geological data as data sources,this paper generates geological body boundary points and virtual boreholes through multi-source data processing to initially build models,and revises stratigraphic boundaries and faults in combination with geological cognition.Finally,a more realistic and in-teractive three-dimensional geological model is constructed to better restore the stratigraphic distribution and occurrence,fault relation-ship and intrusive rock mass,which helps deepen the geological cognition of the Chaoshui valley area.

three-dimensional geological modelimplicit geological modelingGemPyChaoshui valleyLiujiang Basin

陶琨健、彭华键、张清权

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中国矿业大学(北京)地球科学与测绘工程学院,北京 100083

三维地质模型 隐式地质建模 GemPy 潮水峪 柳江盆地

2024

地质学刊
江苏省地质调查研究院,江苏省地质学会,中国地质学会

地质学刊

影响因子:0.621
ISSN:1674-3636
年,卷(期):2024.48(3)