金亭岭金矿与萑香洼金矿矿床地球化学异常模型差异性初探
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摘要
为了解金亭岭金矿床与萑香洼金矿矿床的烃类组分及微量元素异常展布特征,以期为以后找矿工作提供科学的参考依据,通过对两个矿床的地球化学特征、烃类组分、微量元素对比,建立了矿区的分带模型并做对比。对比得出两个矿床相同点为:在两个矿区的分带模型上可以清晰的发现在轴向上前缘晕均为烃类组分,矿中晕元素均含有Cu、Pb、Zn。这表明两个矿床的形成过程中均有有机质的存在,同时表明烃类组分结合微量元素的找矿方法在两个矿区都具有可行性。不同点:两个矿床微量元素异常的分布位置具有差异性,且烃类组分的最大分带指数也存在差异。这可能和元素自身的活动性及成矿时的物理化学条件、赋矿围岩性质、大地构造背景等差异不同引起的。
To investigate gold deposit of Jintingling and Huanxiangwa in hydrocarbons and trace element anomaly distribution characteristics,we will look forward to future prospecting work to provide scientific references. Through the geochemical characteristics of two deposit hydrocarbon components and trace elements in contrast,we try our best to build area zoning model in comparison. The results show that the same points of the two deposits read as follows: In the zonal model of the two mining areas,it is clear that the halo in axial direction is a hydrocarbon component. The halo elements in the ore will contain Cu,Pb,Zn. The results show that the organic matter exists in the process of the formation of the two deposits. It is indicated that the hydrocarbon composition and trace element prospecting methods are feasible in the two mining areas. The differences of the distribution of trace elements in the two deposits are different. There is also a difference in the maximum zoning index of hydrocarbon components. This may be due to the differences in the activity of elements,including the physical and chemical conditions,the characteristics of host rocks and the tectonic setting.
To investigate gold deposit of Jintingling and Huanxiangwa in hydrocarbons and trace element anomaly distribution characteristics,we will look forward to future prospecting work to provide scientific references. Through the geochemical characteristics of two deposit hydrocarbon components and trace elements in contrast,we try our best to build area zoning model in comparison. The results show that the same points of the two deposits read as follows: In the zonal model of the two mining areas,it is clear that the halo in axial direction is a hydrocarbon component. The halo elements in the ore will contain Cu,Pb,Zn. The results show that the organic matter exists in the process of the formation of the two deposits. It is indicated that the hydrocarbon composition and trace element prospecting methods are feasible in the two mining areas. The differences of the distribution of trace elements in the two deposits are different. There is also a difference in the maximum zoning index of hydrocarbon components. This may be due to the differences in the activity of elements,including the physical and chemical conditions,the characteristics of host rocks and the tectonic setting.
引文
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[17]高亚龙.河南嵩县萑香洼金矿床地质地球化学特征及成因探讨[D].北京:中国地质大学(北京),2010.
[18]卢月玲,陈远荣,林立保,等.山东金亭岭金矿矿床地球化学异常分带模型[J].矿产与地质,2014(1):66-71.
[19]洪文帅,陈远荣,喻培刚,等.河南萑香洼金矿地球化学分带模型研究[J].矿产与地质,2016(2):198-202.
[20]徐建东,陈远荣,张冠清,等.基于烃气测量技术的深地找矿预测——以山东夏甸金矿为例[J].矿产与地质,2016(3):427-430.
[2]陈远荣,戴培根,贾国相,等.金属矿床有机烃气常见异常模式和成因机理研究[J].中国地质,2001,28(6):32-37.
[3]陈远荣,戴塔根,党玉涛,等.有机烃气法在个旧锡矿松树脚矿田中的应用[J].物探与化探,2001,25(3):180-184.
[4]徐庆鸿,陈远荣,贾国相,等.烃类组分在金属矿床的成矿理论和矿产勘查研究中的应用[J].岩石学报,2007,23(10):2623-2638.
[5]陈远荣,贾国相,徐庆鸿,等.金属矿床成矿和勘查中有机物的作用研究[J].南方国土资源,2004(11):89-90.
[6]陆玉德,陈远荣,陈金声,等.黑龙江乌拉嘎金矿的矿床地质特征及找矿方向[J].四川建材,2013(2):225-227.
[7]徐庆鸿,陈远荣,贾国相,等.山东夏甸金矿烃类组分特征与幔源流体成矿作用探讨[J].岩石学报,2007(10):2639-2646.
[8]谢桃园,陈远荣,张璟,等.烃气测量法在黑龙江乌拉嘎金矿区找矿预测评价中的应用[J].地质与勘探,2010(3):506-514.
[9]徐庆鸿,陈远荣,毛景文,等.有机烃在预测隐伏金矿床中的应用及其成因探索[J].地质论评,2005(5):105-112.
[10]张苗苗,陈远荣,张志伟,等.气态烃在铧厂沟金矿找矿中的应用[J].中国地质,2008(4):738-745.
[11]李金祥.胶东西北部招平断裂带构造特征与成矿[D].北京:中国地质大学(北京),2005.
[12]徐述平,杨立强,张蜀冀,等.胶东招平断裂带金矿成矿指示元素特征及找矿应用[J].黄金科学技术,2010(5):7-11.
[13]赵志强.胶东大尹格庄—金亭岭矿区脉岩地质地球化学特征研究[D].长沙:中南大学,2014.
[14]段存基.河南嵩县萑香洼金矿床断裂构造控矿特征[J].地质调查与研究,2004(4):261-267.
[15]庞振山.河南省嵩县萑香洼金矿矿床地质特征[J].矿产与地质,2008(1):49-54.
[16]庞振山,徐文超,周奇明,等.河南省嵩县萑香洼金矿矿床地球化学特征[J].矿产与地质,2008(6):481-486+491.
[17]高亚龙.河南嵩县萑香洼金矿床地质地球化学特征及成因探讨[D].北京:中国地质大学(北京),2010.
[18]卢月玲,陈远荣,林立保,等.山东金亭岭金矿矿床地球化学异常分带模型[J].矿产与地质,2014(1):66-71.
[19]洪文帅,陈远荣,喻培刚,等.河南萑香洼金矿地球化学分带模型研究[J].矿产与地质,2016(2):198-202.
[20]徐建东,陈远荣,张冠清,等.基于烃气测量技术的深地找矿预测——以山东夏甸金矿为例[J].矿产与地质,2016(3):427-430.