黑龙江省漠河县砂宝斯地区金矿综合信息成矿预测

发布时间：2018-05-09 18:28

  本文选题：金矿成因类型 + 成矿模式　； 参考：《吉林大学》2017年硕士论文

【摘要】：砂宝斯地区位于额尔古纳地块北东端,上黑龙江盆地的西部边沿。本文以金作为预测矿种,选择砂宝斯林场(N51E017008)、老沟林场(N51E017009)、东马扎尔河(N51E018008)、哈卡鲁查库河(N51E018009)四幅1∶5万地质矿产调查区作为研究区,通过资料收集整理、野外地质调研、必要的测试分析和综合研究,查明了区内的成矿地质条件、典型金矿床地质特征及矿床成因等;利用物探、化探、遥感等方面的最新资料和成果,判断与成矿密切相关的有利因素,建立成矿模型和预测模型;提取地质、物探、化探及遥感等多方面信息,利用矿产资源GIS评价系统(MARS),开展综合信息成矿预测,圈定找矿远景区。砂宝斯、八里房、三十二站等代表性金矿床的研究发现,区内金矿体主要赋存于上侏罗统漠河组陆源碎屑岩中,受近SN、NNE向断裂构造控制,矿化类型以脉状、细脉浸染状为主,围岩蚀变主要有硅化、黄铁矿化、碳酸盐化、绢云母化和粘土化。金属硫化物组合为黄铁矿、方铅矿、毒砂、闪锌矿、黄铜矿、磁黄铁矿等,金矿物主要呈细小包裹金赋存于黄铁矿颗粒之中。砂宝斯矿床流体包裹体显微测温和激光拉曼光谱分析表明,矿床形成于中温、中盐度、中浅成环境,成矿流体属以岩浆水为主体、有大气降水参与的H2O-NaCl-CO2-N2-CH4体系。综合认为,区内以砂宝斯矿床为代表的已知金矿的成因类型为中温热液脉型。并在此基础上,建立了成矿模式。基于矿床的基础研究成果以及收集到的物探、化探、遥感资料进行综合分析,利用GIS系统对金矿床(点)的分布进行综合叠加分析,判断出研究区金矿床的控矿因素主要为上侏罗统漠河组和近SN、NNE、NW向断裂构造;找矿标志主要有1∶5万航磁△T值负异常、Au元素地球化学异常、Ag-As-Sb元素地球化学异常、遥感铁染蚀变、遥感羟基蚀变。并建立了区内金矿的预测模型。以中温热液脉型金矿为主攻矿床类型,运用矿产资源评价系统(MRAS)开展了研究区的多元信息成矿预测工作。通过判断并优选预测要素、计算成矿后验概率以及找矿预测图编制,圈定出金矿找矿远景区11个,其中Ⅰ级远景区4个,Ⅱ级远景区4个,Ⅲ级远景区3个,综合地质、物探、化探、遥感的预测信息对每个远景区的找矿远景进行了评价。
[Abstract]:The Shabous area is located at the eastern end of the Erguna block and the western edge of the Upper Heilongjiang Basin. In this paper, four geological and mineral survey areas of 1: 50 000 were selected as the study area, using gold as the prediction mineral resources, and four geological and mineral survey areas N51E017008, N51E017009, N51E018008, N51E018008 and N51E018009, respectively, in Laogou Forest Farm. The necessary test analysis and comprehensive research have been carried out to find out the metallogenic geological conditions, geological characteristics and genesis of typical gold deposits in the area, and to utilize the latest data and achievements in geophysical prospecting, geochemical exploration, remote sensing, etc. To judge the favorable factors closely related to mineralization, to establish metallogenic model and forecast model, to extract geological, geophysical, geochemical and remote sensing information, and to carry out comprehensive information metallogenic prediction by using GIS evaluation system of mineral resources. Delineate the prospecting area. The study of representative gold deposits such as Shabaoshi, Balifang and 32 stations shows that the gold bodies in this area mainly occur in the continental clastic rocks of the Mohe formation of the Upper Jurassic, controlled by the NNE trending faults near SNN, and the mineralization types are mainly vein-like and vein-impregnated. The wall rock alteration mainly includes silicification, pyrite, carbonization, sericite and clay. The metal sulfides are composed of pyrite galena arsenopyrite sphalerite chalcopyrite pyrrhotite and so on. Microthermometry and laser Raman spectroscopy analysis of fluid inclusions in Shabors deposit indicate that the deposit was formed in a medium temperature, medium salinity and medium shallow environment. The ore-forming fluid belongs to a H2O-NaCl-CO2-N2-CH4 system with magmatic water as the main body and meteoric water as the main body. It is concluded that the known gold deposit represented by the Shabosi deposit in the region is of the mesothermal hydrothermal vein type. On this basis, the metallogenic model is established. Based on the basic research results of ore deposits and the collected geophysical, geochemical and remote sensing data for comprehensive analysis, the distribution of gold deposits (points) is analyzed by GIS system. The ore-controlling factors of the gold deposit in the study area are mainly the Mohe formation of Upper Jurassic and the NNENW trending fault structure, and the ore-prospecting markers are mainly the negative anomaly of the aeromagnetic T value of 1: 50 000 and the geochemical anomaly of Ag-As-Sb element. Remote sensing iron stain alteration, remote sensing hydroxyl alteration. The prediction model of gold deposit in this area is established. Taking the medium-temperature hydrothermal vein type gold deposit as the main deposit type, the multivariate information ore-forming prediction work in the study area was carried out by using the mineral resources evaluation system (MRASS). By judging and selecting predication elements, calculating the metallogenic posteriori probability and drawing up the ore-prospecting prediction map, 11 gold prospecting distant areas are delineated, of which 4 are grade 鈪，

本文编号：1866944