Three-dimensional geological modeling of manganese deposits based on exploration big data and data market
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摘要: 以黔东北锰矿矿集区的李家湾-高地-道坨超大型"大塘坡式"锰矿床为例，探讨了在开展勘查地质大数据的特征和结构分析的基础上，厘定事实表和维度表，进而通过对勘查数据的收集、提取、ETL操作，并应用OWB工具建立锰矿山勘探数据的数据集市的思路与方法。进而探讨了以所建立的数据集市为数据支撑平台，建立黔东北超大型锰矿床高精度三维地质模型的途径。该矿床三维地质模型汇集了海量的空间数据与属性数据，是锰矿矿山异质异构勘查开发大数据的有效载体。基于该精细、全息的矿床三维地质模型，不但可以直观反映矿床和矿体特征，而且可以作为矿山管理及其深部和外围找矿预测的可视化分析工具。Abstract: Taking Lijiawan-Gaodi-Datuo super-large "Datangpo" manganese deposit in northeastern Guizhou as an example, this paper discusses the idea and method of establishing a data market of manganese mine exploration data through collecting, extracting and ETL operation of exploration data based on the analysis of the characteristics and structure of large geological data. Furthermore, the paper describes the way to establish a high-precision three-dimensional geological model of super-large manganese deposits in northeastern Guizhou based on the established data market. The three-dimensional geological model of the deposit condenses a large amount of spatial data and attribute data, and is an effective carrier for large data of heterogeneous exploration and development in manganese mines. Based on the fine and holographic three-dimensional geological model of the deposit, the model not only can directly reflect the characteristics of the deposit and orebody, but also can be used as a visual analysis tool for mine management and prospecting prediction in deep and peripheral areas.
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图 1 贵州省松桃李家湾-高地-道坨超大型锰矿床区域地质简图
1.第四系；2.志留系；3.奥陶系；4.寒武系；5.震旦系陡山陡组-留茶坡组；6.南沱组；7.大塘坡组；8.铁丝坳组；9.青白口系；10.角度不整合界线和地层界线；11.向斜轴；12.实测及推测断层；13.李家湾-高地-道坨Ⅳ级断陷盆地；14.地层产状；15.含锰岩系露头；16.钻孔位置及编号-锰品位(%)/矿体厚度(m)；17.锰矿床(点)；18.矿床三维建模示范区
Figure 1. Regional geological sketch of super-large manganese deposit in Songtao Lijiawan-Gaodi-Daotuo, Guizhou Province
图 2 地质数据多主题数据集市与数据仓库系统体系结构[13]
Figure 2. Architecture of geological data multi-subject data market and data warehouse system
图 3 构造-地层格架建模主题的数据集市概念模型
Figure 3. Data market conceptual model for themes of structural-stratigraphic framework modeling
图 4 锰矿床多主题的数据集市逻辑模型
Figure 4. Logic model of multi-subject data market for manganese deposits
图 5 基于TIN-CPG混合数据结构的勘查区和矿床三维地质建模过程
Figure 5. Three-dimensional geological modeling process of exploration area and deposit based on TIN-CPG mixed data structure
图 6 利用向地表投影的方式建立岩性模型的流程图
Figure 6. Flow chart of lithologic models based on surface projection
图 7 三维矿体格架-属性一体化建模流程图
Figure 7. Flow chart of integrated framework-attribute modeling for three-dimensional orebody
图 8 黔东北锰矿区基于地形等高线图(a)和遥感影像图生成的地表数字高程模型(b)
Figure 8. Digital elevation model of manganese mine area in northeast Guizhou based on topographic contour map (a) and remote sensing image map (b)
图 9 黔东北锰矿矿集区尺度的区域三维地层格架模型
Figure 9. Regional three-dimensional stratigraphic framework model of manganese mine concentration area in northeast Guizhou
图 10 矿区钻探工程及勘探线剖面图
Figure 10. Borehole distribution and geological section of the mining area
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