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.
维普
万方数据