引用本文:廖国忠, 张伟, 杨剑, 王桥, 高慧.湘西花垣地区铅锌矿勘查技术找矿模式探索——以大脑坡铅锌矿为例[J].沉积与特提斯地质,2020,40(4):103-110.[点击复制]
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湘西花垣地区铅锌矿勘查技术找矿模式探索——以大脑坡铅锌矿为例
廖国忠,张伟,杨剑,王桥,高慧
0
(中国地质调查局成都地质调查中心, 四川 成都 610081)
摘要:
湘西花垣大脑坡铅锌矿床位于扬子地块东南缘与雪峰(江南)造山带的过渡区,矿体受构造和岩相控制,主要呈层状和脉状赋存于清虚洞组下段第三、四亚段的藻灰岩中。随着勘探深度的加大,找矿成功率显著降低,提高找矿成功率一直是急需解决的问题。本文结合前人的经验,总结了“花垣式”铅锌矿成矿模式,从勘查方法技术的角度,综合考虑岩石的电阻率、极化率和地表岩石、土壤中Pb、Zn元素含量特征等因素,建立了寻找“藻灰岩+地表Pb、Zn元素异常+中电阻率高极化率/低电阻率高极化率”的铅锌矿勘查技术找矿模式。通过在大脑坡矿区开展的综合地球物理和地球化学试验,验证了找矿模式的合理性,为湘西—鄂西—黔东地区铅锌的矿勘查提供了新的思路。
关键词:  大脑坡铅锌矿  成矿模式  找矿模式
DOI:10.19826/j.cnki.1009-3850.2020.08004
附件
投稿时间:2019-12-13修订日期:2020-05-13
基金项目:中国地质调查局“四川会理-盐源地区地球物理调查”(DD20190033)、国家自然科学基金“城市建筑群的重力场定量校正方法研究”(41804144)、“南盘江成矿区贞丰和富宁地区地质矿产调查”(DD20160082)、中国地质调查局地质矿产调查专项(12120113050700,12120113094800)联合资助。
A prospecting model for Pb-Zn deposits in Western Hunan Province
Liao Guozhong, Zhang Wei, Yang Jian, Wang Qiao, Gao Hui
(Chengdu Center, China Geological Survey, Chengdu 610081, Sichuan, China)
Abstract:
Da-naopo lead-zinc deposit is located in the transition zone between the southeastern margin of the Yangtze block and the xuefeng (jiangnan) orogenic belt. Orebodies of Da-naopo lead-zinc deposit are mainly layered and secondly vein-like in shape, and hosted within both the algal limestone of the third sub-member and the sand limestone of the fourth sub-member of the Lower Cambrian Qingxudong Formation. With the increase of exploration depth, how to improve the success rate of prospecting has been an urgent problem to solve. This paper summarizes the metallogenic model of the "HuaYuan type" Pb-Zn deposits. Based on previous research results and the characteristics of resistivity, polarizability and content of Pb and Zn, the prospecting model for Pb-Zn deposits has been established, and the rationality of the prospecting model has been verified by the exploration work in the Da-nao-po deposit. The prospecting model can provide a reference for exploration of Pb-Zn deposits in areas of western Hunan, western Hubei, and eastern Guizhou.
Key words:  Da-naopo lead-zinc deposit  metallogenic model  Prospecting model

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