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在三维地质体模型构建过程中所采用的数据多为钻孔数据,而研究区域内原始钻孔数据通常数量有限且分布不均,难以构建出既能够准确地反映研究区域地质构造,又具有良好可视化效果的三维地质体模型。针对此问题,本文对虚拟钻孔概念进行延伸,提出了用于三维地质体建模不同阶段的三种虚拟钻孔概念,并基于此设计了一种虚拟钻孔控制的三维地质体模型构建方法。首先,根据原始钻孔数据空间分布特征,自适应地确定插值点位,并采用克里金插值算法构建插值加密虚拟钻孔;其次,根据尖灭规则构建尖灭处理虚拟钻孔,采用改进的自适应蝴蝶细分算法构建细分光滑虚拟钻孔;最后,利用原始钻孔、插值加密虚拟钻孔、尖灭处理虚拟钻孔,以及细分光滑虚拟钻孔构建研究区域内符合地统计学规律且具有C1几何连续性,可视化效果良好的三维地质体模型。与将虚拟钻孔作为专家知识补充手段的传统建模方法不同,该建模方法将虚拟钻孔引入三维地质体构建的各个环节中作为核心的算法中间单元,有效简化了建模算法的实现过程,确保了算法的稳定性与高效性。
Most of the data used in the construction of 3D geological model are borehole data. However, the original borehole data in the study area are usually limited in quantity and uneven in distribution, so it is difficult to construct the data that not only can accurately reflect the geological structure of the study area but also have good 3D geological model of visualization effect. In order to solve this problem, this paper extends the concept of virtual drilling and proposes three concepts of virtual drilling for different phases of 3D geological modeling. Based on this, a method of constructing 3D geological model of virtual drilling control is proposed . Firstly, the interpolation points are determined adaptively according to the spatial distribution of the original borehole data, and the interpolation-encrypted virtual borehole is constructed by using the Kriging interpolation algorithm. Secondly, according to the pinchout rules, Adaptive butterfly segmentation algorithm to construct subdivision smooth virtual borehole; finally, using the original borehole, interpolation to encrypt the virtual borehole, pinch out the virtual borehole, and the subdivision of the smooth virtual borehole to build the study area in accordance with the geostatistics And with C1 geometric continuity, visualization of good three-dimensional geological body model. Different from the traditional modeling method, which uses virtual drilling as an additional means of expert knowledge, this modeling method introduces the virtual drilling into the middle of the algorithm as the core in all aspects of 3D geological structure construction, which effectively simplifies the realization of the modeling algorithm , To ensure the stability and efficiency of the algorithm.