云南澜沧班歪铅锌勘查区多元成矿信息融合与靶区定位
发布时间:2018-06-15 00:07
本文选题:多元成矿信息融合 + 线—环结构 ; 参考:《昆明理工大学》2015年硕士论文
【摘要】:云南省澜沧县班歪铅锌勘查区地处昌宁—孟连裂谷带南段,是多种成矿有利构造环境、多种重要成矿地质作用叠加和耦合的地区,具备典型的多成矿期、多成矿物质来源、多矿床成因类型的成矿条件。本文系统地研究了区域地质背景及矿床地质特征,综合运用勘查地球化学、遥感技术等方法,提取并分析成矿有利信息,建立多元信息定量预测模型,从而完成成矿预测和靶区优选。论文主要获得了以下认识和成果:(1)在区域成矿地质背景与区域矿产分布特征分析的基础上,对勘查区矿床地质特征进行研究,总结矿床成矿规律与成因规律。主要控矿构造为NNW-SSE断裂构造,矿体多呈透镜体、脉状产出,主要矿石矿物为方铅矿、磁黄铁矿、黄铁矿,矿石为角砾状、脉状构造,硅化和黄铁矿化,蚀变强烈。根据类比,勘查区铅锌矿床的矿床成因类型为中低温热液矿床。(2)开展勘查地球化学找矿,探讨元素迁移与富集规律,以及元素组合成矿过程。成矿元素Pb的背景值高出地壳丰度值3-7倍,Sb的背景值高出地壳丰度值一个数量级,Cu、Zn背景值与地壳丰度接近,10个元素含量服从于对数正态分布,参照元素异常下限值与元素异常特征划分了8个异常区。(3)基于TM、Aster影像,对澜沧县班歪铅锌勘查区的遥感地质信息进行了提取,区内线性构造较为发育,发育有一个环形构造,色调异常与铅锌矿化具有一定的关系,线性构造、线环构造交汇处是成矿与找矿的有利部位。并且用统计方法对勘查区线性构造进行了定量的分析。(4)综合成矿信息定量分析与靶区优选,建立综合成矿定量模型。依据地质、勘查地球化学、矿床遥感等成矿信息,提取了与成矿有关的断裂构造、赋矿地层、线性构造等14个成矿有利信息,建立找矿信息量模型。依据靶区级别划分原则,将7个靶区划分为1个Ⅰ级,2个Ⅱ级(Ⅱ1、Ⅱ2靶区),4个Ⅲ级(Ⅲ1、Ⅲ2、Ⅲ3、Ⅲ4靶区)。
[Abstract]:Located in the southern segment of Changning-Menglian rift belt in Lancang County, Yunnan Province, Banjiao lead and Zinc Prospecting area is a favorable tectonic environment for metallogenic, superimposed and coupled by many important metallogenic geological processes, with typical polymetallogenic period and multiple metallogenic material sources. Metallogenic conditions of multiple genetic types of ore deposits. In this paper, the regional geological background and geological characteristics of ore deposits are systematically studied. By using the methods of exploration, geochemistry and remote sensing, the favorable information of mineralization is extracted and analyzed, and the quantitative prediction model of multivariate information is established. Thus the metallogenic prediction and target optimization are completed. Based on the analysis of the regional metallogenic geological background and the regional mineral distribution characteristics, the geological characteristics of ore deposits in the exploration area are studied, and the metallogenic and genetic laws of the deposits are summarized. The main ore-controlling structure is NNW-SSE fault structure, the orebody is mostly lenticular and veinlike. The main ore minerals are galena, pyrrhotite, breccia, vein structure, silicification and pyritization, and the alteration is strong. According to analogies, the genetic type of lead-zinc deposits in exploration area is middle-low temperature hydrothermal deposit. (2) Prospecting geochemical prospecting is carried out, and the law of element migration and enrichment, and the metallogenic process of element assemblage are discussed. The background value of Pb is 3-7 times higher than that of crustal abundance. The background value of Cu ~ (2 +) Zn is close to that of crustal abundance by an order of magnitude, and the content of 10 elements is in logarithmic normal distribution. According to the lower limit value of element anomaly and the characteristics of element anomaly, eight anomaly areas are divided into eight anomaly areas. Based on TMU Aster image, the remote sensing geological information of Bananyao lead and zinc exploration area in Lancang County is extracted. The linear structure is relatively developed and a ring structure is developed in the area. The hue anomaly has a certain relationship with the lead-zinc mineralization. The linear structure and the junction of the linear ring structure are the favorable places for mineralization and prospecting. The quantitative analysis of the linear structure in the exploration area is carried out by means of statistical method. The quantitative analysis of the comprehensive ore-forming information and the optimal selection of the target area are carried out, and the quantitative model of the comprehensive metallogenic process is established. Based on the ore-forming information such as geology exploration geochemistry and mineral deposit remote sensing 14 favorable ore-forming information such as fault structure ore-bearing strata and linear structure are extracted and the ore-prospecting information quantity model is established. According to the principle of target classification, seven target regions were divided into 1 鈪,
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