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云南个旧高松矿田芦塘坝研究区三维预测模型及靶区优选
引用本文:严琼,陈建平,尚北川.云南个旧高松矿田芦塘坝研究区三维预测模型及靶区优选[J].现代地质,2012,26(2):286-293.
作者姓名:严琼  陈建平  尚北川
作者单位:中国地质大学国土资源与高新技术研究中心,北京100083;中国地质大学北京市国土资源信息研究开发重点实验室,北京100083
基金项目:国土资源部公益性行业科研专项经费项目,国土资源部公益性行业科研专项经费项目
摘    要:通过对云南个旧芦塘坝研究区成矿信息分析,结合三维可视化技术,对其进行深部隐伏矿体预测。根据研究区的地质概况与成矿规律,确定地层和断裂是主要的控矿条件,利用三维建模软件建立该研究区的数字矿床模型,应用立方体预测模型找矿方法,提取成矿有利因子——地层、断裂、构造定量化信息、化学元素异常,将其作为预测变量,最终通过计算圈定出预测远景区进而优选出4个预测靶区。预测远景区结果表明,该研究区有较好的找矿潜力,其矿产预测方法有效性较好。构造定量化信息分析方法的应用有助于实现三维找矿。

关 键 词:芦塘坝研究区  数字矿床模型  立方体预测模型  构造定量化信息  预测远景区  云南个旧

The 3D Prediction Model and Division of Targets in Lutangba Study Area of Gaosong Ore Field in Gejiu, Yunnan Province
YAN Qiong , CHEN Jian-ping , SHANG Bei-chuan.The 3D Prediction Model and Division of Targets in Lutangba Study Area of Gaosong Ore Field in Gejiu, Yunnan Province[J].Geoscience——Journal of Graduate School,China University of Geosciences,2012,26(2):286-293.
Authors:YAN Qiong  CHEN Jian-ping  SHANG Bei-chuan
Institution:1,2(1.Institute of High and New Techniques Applied to Land Resources,China University of Geosciences,Beijing 100083,China; 2.Land Resources Information Development and Research Key Laboratory of Beijing,China University of Geosciences,Beijing 100083,China)
Abstract:By analyzing ore-forming information of Lutangba study area in Gejiu,Yunnan Province,authors made a prediction of blind ore body with the help of 3D visualization technology.We took the stratigraphy and fracture as mainly ore-controlling factors according to geological feature and mineralization law,constructed digi-tal deposit model by means of 3D modeling software.Advantageous factors of ore-formation are extracted,including stratigraphy,fracture,quantitative information of structures and chemical elements abnormal as predictive variable by using method of the cubic predicting model.And finally we utilized delineate prospect area and then outline 4 targets.The prospective areas show that the study area has a good potential for prospecting minerals and the method of ore prediction is very effective.The application of the analysis method which is quantitative information of structures as new prospecting variables achieve a new breakthrough in 3D prospecting minerals.
Keywords:Lutangba study area  digital deposit model  cubic predicting model  quantitative information of structure  prospect area  Gejiu  Yunnan Province
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