基于特征分析法的杨庄铁矿床隐伏矿体三维成矿预测研究

发布时间：2018-09-12 06:58

【摘要】：随着地表矿、易识别矿、浅部矿的日益减少,找矿难度正日益增大,找矿效果也日益降低,矿产勘查已经面临了“三难”的局面,即“难识别、难发现和难开发”的矿越来越多。三维成矿预测的提出和应用,为解决当前找矿难的情况提供了新方法和新思路。本文通过对杨庄铁矿床的地质勘探资料进行综合研究和再次利用,以矿床成矿规律为指导,在总结和吸收现有的三维建模技术、成矿预测、特征分析法等技术与方法的基础上,研究和实现了杨庄铁矿床的钻孔地质数据库、地质体实体模型和块体模型、控矿因素空间分析、特征分析模型,并据此运用特征分析法模型进行三维成矿预测,圈定了杨庄铁矿床的找矿靶区。本文的主要研究内容有以下几个方面：(1)收集和整理杨庄铁矿床的地质勘探资料,运用Access和Surpac软件建立了杨庄铁矿床的钻孔地质数据库。(2)基于钻孔地质数据库和地质剖面图等资料建立了杨庄铁矿床的矿体、地层和岩体的三维实体模型。(3)在三维空间中,采用三维缓冲区分析、三维隆起凹陷程度分析、地质体外凸内凹特征提取等空间分析手段对地层、岩体进行找矿信息的提取,并确定了12个预测变量。(4)根据特征分析法理论,采用C#编程语言进行三维特征分析法的开发。(5)在杨庄铁矿床成矿规律的指导下,利用三维特征分析法软件模块计算预测变量的权系数,进而计算研究区所有预测单元的联系度。根据联系度的大小圈定了杨庄铁矿床深边部的三维找矿靶区。本文开展的杨庄铁矿床深边部三维成矿预测研究,有利于扩大该区的资源储量,对该区深边部找矿具有指导意义。经过以上研究工作,获得了以下结论：(1)本次研究工作所创建的地质体三维模型能在三维空间中再现杨庄铁矿床的矿体、地层、岩体的空间形态,并且能为该区空间分析和成矿预测提供数据支持和依据。(2)本文编程实现的三维特征分析法的算法符合特征分析法的基本原理,并且能三维空间计算预测变量的权系数和预测单元的联系度。(3)特征分析法在以往的成矿预测研究都是在二维空间中进行预测工作的,本文将其推广至三维空间进行杨庄铁矿床的预测,显示了该方法在三维预测研究中具有良好的预测效果,可以在已知矿体的深边部预测未知矿体可能的位置、深度以及形态。(4)本次研究工作共圈定十个找矿靶区,一级靶区有三个,二级靶区有三个,三级靶区有四个,其中一级靶区的成矿条件十分有利,位于已知矿体的东北方向及其附近；二级靶区的成矿条件有利,位于已知矿体的正北方向及其附近；三级靶区具有一定成矿条件,位于已知矿体的东侧与西侧。
[Abstract]:Along with surface ore, easy to identify ore, shallow ore is decreasing day by day, the difficulty of prospecting is increasing day by day, the result of prospecting is also decreasing day by day, the mineral exploration has already faced the situation of "three difficulties", that is, "difficult to identify", More and more mines are hard to find and hard to exploit. The proposal and application of three dimensional metallogenic prediction provide a new method and new idea for solving the present situation of ore-finding disaster. In this paper, the geological exploration data of Yangzhuang iron deposit are synthetically studied and reused. Under the guidance of metallogenic law of ore deposit, this paper summarizes and absorbs the existing techniques and methods of 3D modeling, metallogenic prediction, characteristic analysis, etc. The drilling geological database, geological solid model and block model, spatial analysis of ore-controlling factors and characteristic analysis model of Yangzhuang iron deposit are studied and realized. Based on this, the three-dimensional metallogenic prediction is carried out by using the characteristic analysis model. The prospecting target area of Yangzhuang iron deposit has been delineated. The main research contents of this paper are as follows: (1) collecting and arranging the geological exploration data of Yangzhuang iron deposit, The borehole geological database of Yangzhuang iron deposit is established by using Access and Surpac software. (2) based on the data of borehole geological database and geological profile, the 3D solid model of orebody, strata and rock mass of Yangzhuang iron deposit is established. (3) in three dimensional space, the ore body, strata and rock mass are modeled. Three dimensional buffer analysis, three dimensional uplift sag degree analysis, the feature extraction of geological external convex and concave are used to extract the ore-prospecting information of strata and rock mass, and 12 prediction variables are determined. (4) according to the theory of characteristic analysis, C # programming language is used to develop 3D feature analysis method. (5) under the guidance of ore-forming law of Yangzhuang iron deposit, the weight coefficient of prediction variables is calculated by using 3D feature analysis software module, and the relation degree of all prediction units in the study area is calculated. According to the relation degree, the three dimensional prospecting target area of the deep edge of Yangzhuang iron deposit is delineated. The study of three dimensional metallogenic prediction of the deep edge of Yangzhuang iron deposit in this paper is beneficial to the expansion of the resources and reserves of the area and is of guiding significance for the prospecting of the deep edge of the ore deposit in this area. Through the above research work, the following conclusions are obtained: (1) the 3D model of geological body established in this study can reproduce the spatial form of orebody, strata and rock mass of Yangzhuang iron deposit in three dimensional space. And it can provide data support and basis for spatial analysis and metallogenic prediction in this area. (2) the algorithm of 3D feature analysis realized in this paper accords with the basic principle of feature analysis. And the weight coefficient of prediction variable and the relation degree of prediction unit can be calculated in three dimensional space. (3) in the past, the characteristic analysis method is used to predict metallogenic prediction in two-dimensional space. This paper extends it to the prediction of Yangzhuang iron deposit in three dimensional space. It shows that this method has good prediction effect in 3D prediction, and can predict the possible position of unknown orebody in the deep edge of known orebody. Depth and morphology. (4) in this study, ten ore prospecting targets have been delineated, three in the first class, three in the second and four in the third, in which the metallogenic conditions of the first class target are very favorable. It is located in the northeast direction of the known orebody and its vicinity; the metallogenic conditions in the secondary target area are favorable, and are located in the northerly direction of the known orebody and its vicinity; the third-order target area has certain metallogenic conditions, located in the east and west sides of the known orebody.
【学位授予单位】：合肥工业大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：P618.31

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