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作 者:王世称[1] 杨毅恒[1] 李景朝[1] 张晓华[2] 肖克炎[2]
机构地区:[1]吉林大学朝阳校区,吉林长春130026 [2]中国地质科学院区划室,北京100037
出 处:《矿床地质》2004年第S1期170-174,共5页Mineral Deposits
基 金:地质调查项目"全国成矿远景评价与重要矿产资源潜力评估"项目资助
摘 要:从统计观点研究大型、超大型矿床,它们同中、小型矿床的关系很密切,在空间上具有"鹤立鸡群"的分布形式。组成矿床密集区。从地质演化角度,在捐赠作用下,它们是不同成矿类型矿床组成的金属省。从信息间转换角度分析,它们具有矿床密集区和异常密集区信息之间的转换关系。从矿床密集区的统计分析,它们是矿床集合与控矿地质体集合上升有序变量关系。贵金属与有色金属大型、超大型矿床密集区的控矿因素有共性,而基底、岩体和衍生矿源层的成矿床专属性,是不同矿种预测的差异性。综合信息矿床密集区的找矿模型建立和综合信息矿床密集区的预测模型建立是预测的关键问题。由于贵金属与有色金属大型、超大型矿床密集区控矿因素的共性,故成矿系列理论应用于大型、超大型矿床预测是今后研究的主攻方向。Viewed from statistical data, large and superlarge ore deposits are very closely related to medium-size and small-size ore deposits and look like 'cranes standing among chickens' in space. They form deposit concentration areas. From the angle of geological evolution, they are metallic provinces comprising ore deposits of different ore-forming types under the role of 'donation'. Analyzed from information transform, they possess the transform relationship between the information of deposit concentration areas and that of anomaly concentration areas. According to statistical analysis of deposit concentration areas, they show ordered variable relationship between assemblages of ore deposits and associations of ore-controlling geological bodies. The ore-controlling factors for concentration areas of large and superlarge noble metallic and nonferrous metallic deposits show generality. The different ore-forming specializations of the basement, rock bodies and derivative ore source beds reflect the differences in prognosis of different ore species. The construction of the composite information prospecting model for deposit concentration areas and the composite information prognostic model for deposit concentration areas seems to be the key problem in the prognosis.
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