基于云模型的三维原生晕地球化学空间分布研究

发布时间：2018-08-14 17:22

【摘要】：找矿实践中,勘查地球化学数据是重要的信息源,地球化学数据处理的目标之一就是从大量观测资料中,在关系复杂的情况下,用数学方法从地球化学原始数据中提取出有用的信息,揭示指示变量(主要是化学元素)与各种地质现象的内在联系,为勘查地球化学寻找矿产资源和解决地质问题等服务提供方法技术。云模型是上个世纪90年代李德毅院士设计的关于定性与定量互换的处理模型。该模型在经典的模糊集合方法、概率论方法基础原理上,借助数字方面的特征把模糊性及随机性进行有效的结合,完成定量数值与自然语言不确定性的相互转化。云模型目前应用领域非常广泛,学者们已经将其应用到关联规则、数据挖掘、空间不确定性查询、不确定性推理等。伴随着知识的不断向前发展,云模型已成为定量信息与定性概念进行相互转换的强有力工具。原生晕地球化学元素的空间分布规律研究是勘查地球化学的核心,它是揭示地球化学元素空间富集和变化规律的重要途径之一。原生晕地球化学数据在取样和分析阶段具有不确定性,元素在地壳中的分布具有区域随机性和不均匀性,本文结合三维建模技术,使用云模型对原生晕地球化学元素数据进行处理,再在空间上研究地球化学数据的空间属性,分析其原生晕地球化学元素的空间分布。本文主要工作是基于云模型研究原生晕地球化学元素的空间分布,研究区域选取湖北大冶鸡冠咀铜金矿区,研究对象是钻孔原生晕地球化学分析数据,目的是将数据通过逆向云发生器,得到数字特征值,再将数字特征值用于正向云发生器,得到一系列云滴,通过云的3 En规则弱化弱外围数据,凸显骨干基本数据,反向导回空间数据格式,通过地球化学图,结合实际的地质情况,表明云模型在处理原生晕地球化学元素数据上是可行的,并且对后期成矿预测有明显效果。
[Abstract]:In prospecting practice, geochemical exploration data is an important source of information. One of the objectives of geochemical data processing is to obtain from a large number of observational data, in the case of complex relationships, Useful information is extracted from geochemical raw data by mathematical method to reveal the intrinsic relationship between indicator variables (mainly chemical elements) and various geological phenomena. It provides method and technology for prospecting geochemical prospecting mineral resources and solving geological problems. Cloud model is a qualitative and quantitative interchangeability model designed by Li Deyi academicians in 1990's. On the basis of the classical fuzzy set method and probability theory, the model combines fuzziness and randomness effectively with the help of numerical features to complete the mutual transformation between quantitative values and natural language uncertainties. Cloud model has been widely used in many fields, such as association rules, data mining, spatial uncertainty query, uncertainty reasoning and so on. With the development of knowledge, cloud model has become a powerful tool to transform quantitative information and qualitative concepts. The study on the spatial distribution of geochemical elements in primary halo is the core of exploration geochemistry, and it is one of the important ways to reveal the spatial enrichment and variation of geochemical elements. The geochemical data of primary halo are uncertain in sampling and analysis, and the distribution of elements in the crust is regional randomness and inhomogeneity. The data of primary halo geochemistry elements are processed by cloud model, and the spatial properties of geochemical data are studied in space, and the spatial distribution of primary halo geo-chemical elements is analyzed. The main work of this paper is to study the spatial distribution of geochemical elements in the primary halo based on cloud model. The study area is selected from the copper-gold ore area of Jiguanzui in Daye, Hubei Province. The research object is geochemical analysis data of primary halo in boreholes. The purpose of this paper is to obtain the digital eigenvalues through the reverse cloud generator, and then apply the digital eigenvalues to the forward cloud generator to obtain a series of cloud droplets. The weak peripheral data are weakened by the 3En rule of the cloud, and the backbone basic data is highlighted. The reverse guide back to the spatial data format, through geochemical maps, combined with the actual geological conditions, shows that the cloud model is feasible in dealing with the primary halo geo-chemical element data, and has obvious effect on the late metallogenic prediction.
【学位授予单位】：成都理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：P632.2

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