矿床模型综合地质信息在稀有金属矿定量预测中的应用——以西昆仑大红柳滩为例

摘要

应用矿床模型综合地质信息预测方法,结合西昆仑大红柳滩稀有金属矿最新地质矿产调查成果,以花岗伟晶岩型稀有金属矿床成矿理论为指导,首次对该地区稀有金属矿(锂矿、铍矿、铌钽矿)开展定量预测,结合区域1∶5万地球化学元素异常分布范围和槽探样品分析结果,综合多源信息圈定铌钽、锂矿靶区4个,预测钽资源量约为449.16 t、铌资源量116.9t、锂资源量2.23× 104t,有望达到中型锂矿,为下一步工作部署提供依据和参考,为稀有金属矿定量预测提供了方法借鉴.%This paper is based on the latest results of geology and mineral resources investigation of metal deposits in Da Hongliutan of west Kunlun and metallogenic theory of the granite-pegmatite-typerare metal deposits,using deposit modeling and integrated geological information to quantitative predict rare metal deposits (lithium ores,beryllium ores,niobium-tantalum ores)for the first time.In addition,trench exploration was utilized to reveal and control ore-bearing pegmatite dike.By analyzing l ∶ 50 000 regional geochemical anomaly data,the paper delineated 4 target areas,and they contain 449.16 tons of tantalum,116.9 tons of niobium,22.3 thousand tons of lithium which was expected to be mediumsized lithium.In a word,this paper supplies the quantitative prediction method for rare metal deposits.