文章摘要
徐广东.青海绿梁山铜矿找矿信息的提取与成矿预测[J].地质与勘探,2013,49(3):444-452
青海绿梁山铜矿找矿信息的提取与成矿预测
Extraction of Prospecting Information for the Lvliangshan Copper Deposit, Qinghai Province and its Metallogenic Prediction
投稿时间:2012-11-17  修订日期:2013-02-08
DOI:
中文关键词: 柴北缘 绿梁山 多元信息找矿 找矿靶区
英文关键词: North Qaidam Mountains, Lvliangshan, multiple-information for prospecting, prospecting indicators
基金项目:青藏高原地质矿产调查与评价项目“青海绿梁山-双口山矿产远景调查”(资[2010矿评02-01-23])(编号:1212011121204)
作者单位
徐广东 福建省国土资源评估中心福建福州 
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中文摘要:
      [摘要]绿梁山铜矿位于柴达木盆地北缘,属柴北缘成矿带,它是中国西部重要的多金属成矿区带之一。通过对绿梁山铜矿详细的地质调查,水系沉积物测量,高精度磁测扫面,遥感解译等工作,在系统研究其成矿地质条件、地球化学特征、地球物理特征和遥感影像特征的基础上,进一步筛选与矿化有关的异常信息,归纳并提取了地物化遥找矿信息:硅化、黄铁矿化、绿泥石化、绿帘石化、绢云母化等近矿围岩蚀变是寻找铜矿床的间接标志;遥感解译的复合环形构造与遥感蚀变信息叠加区;在Cu、Au、Bi异常区沿铜矿化向北西存在较多的铜金矿化线索;强磁异常梯度带分布是最显著的深大断裂位置反映;显著的水热蚀变晕也是寻找该类矿床的重要遥感标志。结合以上特征作者在绿梁山找矿远景区内共圈定出Ⅰ、Ⅱ类靶区共3个。
英文摘要:
      Abstract: The Lvliangshan copper deposit located in the northern marginal of the Qaidam Basin belongs to the East Kunlun metallogenic belt, and is one of the important metal mineralization zones in western China. Based on detailed geology surveys, drainage sediment measurements, high-accuracy magnetic sweeping and remote sensing interpretations, in combination with the mineralization conditions, geochemical characteristics, geophysical characteristics and remote sensing image features, we selected anomaly information relevant to mineralization, and extracted and summarized prospecting indicators. The near-ore wall-rock alterations such as silication, pyritization, chloritization, epidotization and sericitization are an indirect symbol for prospecting copper deposits. The areas with superposed composite circular structures from remote sensing interpretations and alteration information are favorable for ore prospecting. Northwest of the anomaly area of Cu, Au and Bi exist many copper and gold mineralization clues. The distribution of strong magnetic anomaly gradient zones reflects the position of deep fractures. Significant hydrothermal alteration haloes are also an important symbol to find such deposits on remote sensing images. We delineated three prospecting targets of I and II classes in Lvliangshan.
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