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辽宁省草河掌—桓仁地区铜矿资源量地球化学定量预测
引用本文:李玉超,张苏,张钰莹,乌爱军.辽宁省草河掌—桓仁地区铜矿资源量地球化学定量预测[J].地质找矿论丛,2013,28(2):289-296.
作者姓名:李玉超  张苏  张钰莹  乌爱军
作者单位:辽宁省地质矿产调查院;中国航天建设集团有限公司;北京大学地球与空间科学学院
基金项目:中国地质调查局矿产资源潜力评价项目“辽宁省矿产资源潜力评价化探信息研究”(编号:1212020881611)资助
摘    要:矿产资源地球化学模型建立与定量预测研究以成矿成晕地质、地球化学理论为指导,以各尺度勘查地球化学数据为基础,以现代GIS信息技术为手段,通过研究总结典型矿田(矿集区)、矿床的异常特征,建立成矿带内典型矿床地球化学找矿模型,为预测区的地球化学定量预测提供类比依据,从而进行资源量预测。在资源量预测过程中加入了相似度、剥蚀程度、衬值等要素,有效地加大了预测靶区遴选的可信度,通过类比法与面金属量法两种预测方法的加权平均,使预测资源量合理。文章对草河掌—桓仁地区铜矿资源量进行了估算,共新增预测铜资源量21 812.9t。

关 键 词:铜矿  地球化学  定量预测  资源量估算  辽宁省
收稿时间:2012/12/27 0:00:00

Geochemical quantitative prediction of copper mineral resources in Caohezhang-Huanren area, Liaoning province
LI Yuchao,ZHANG Su,ZHANG Yuying and WU Aijun.Geochemical quantitative prediction of copper mineral resources in Caohezhang-Huanren area, Liaoning province[J].Contributions to Geology and Mineral Resources Research,2013,28(2):289-296.
Authors:LI Yuchao  ZHANG Su  ZHANG Yuying and WU Aijun
Institution:1(Liaoning Survey Academy of Geology And Mineral Resources,Shengyang 110031)
Abstract:Based on geological and geochemical theories with respect to ore formation and halo formation, prospecting geochemical data in different scales, GIS information geochemical model of mineral resources is set up and the quantitative prediction is made. Anomly characteristics of typical ore field (ore deposit clustered area) and deposit are summarized and prospecting geochemical model of typical ore deposit in typical ore belt is set up so as to provide correlative evidence for geochemical and quantitative prediction of mineral resources of the predicted area. New factors of comparability, denudation degree, contrast value etc. are added during the prediction and confidence of optimization of prospecting targets is improved a lot. The correlation result and plane metal result are weighted averagely to give reasonable predicted mineral resources volume. Increment of copper mineral resources about 21 812.9 t is made for Caohezhang-Huanren area by the prediction.
Keywords:copper ore  geochemistry  quantitative prediction  mineral resources estimation  Liaoning province
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