热液脉型萤石矿床隐伏矿体定位预测综合技术方法OA北大核心CSTPCD
A comprehensive technical method for locating and predicting concealed ore bodies of hydrothermal vein-type fluorite deposits
萤石是国家战略性新兴产业发展中不可或缺的关键支撑原材料,被国际社会普遍列为"关键矿产",随着萤石露头矿的发现殆尽,急需开展隐伏矿体的深部定位预测研究.文章简要论述了断裂构造控制的热液脉型萤石矿床地质特征、分带模式和成矿规律,评述了萤石找矿中常用的勘查技术方法.结合找矿标志和控矿要素分析,总结了隐伏-半隐伏萤石矿体定位预测的找矿模型,提出了"分带型"和"掩埋型"两种类型隐伏萤石矿体及相应的找矿技术方法组合.笔者建立了隐伏萤石矿体定位预测的地质-物探-化探-遥感综合找矿模型及其四步勘查技术流程,这对指导隐伏萤石矿床(体)的找矿勘查具有重要的理论和实践意义.
Fluorite is a crucial material for the development of national strategic emerging industries. It is considered one of the critical minerals by the international community. Research on the positioning and prediction of hidden ore bodies is urgently needed as the discovery of fluorite outcrops has been exhausted. This paper provides a brief discussion on fracture-controlled vein-type fluorite deposits,including their nature,vertical zoning pattern and ore-forming processes. We also review the prospecting techniques commonly used in exploring vein-type fluorite deposits. By combining prospecting indicators and ore-controlling factors,we have developed a prospecting mod-el for locating and predicting hidden and semi-hidden fluorite ore bodies. We have identified two types of hidden fluorite ore bodies:"zoned" and "buried",and have proposed corresponding prospecting techniques and methods.This study established a four-step prospecting model and exploration technical flow for predicting the location of concealed fluorite ore bodies using geological,geophysical,geochemical,and remote sensing methods. The re-search is significant for guiding ore prospecting and exploration of concealed hydrothermal vein-type fluorite veins.
张寿庭;徐旃章;邹灏;方乙;曹华文;裴秋明;唐利;王亮;高永璋;张伟
中国地质大学(北京)深时数字地球前沿科学中心,北京 100083成都理工大学地球与行星科学学院,四川成都 610059西南石油大学地球科学与技术学院,四川成都 610500西南交通大学地球科学与工程学院,四川成都 611756中国地质调查局西安矿产资源调查中心,陕西西安 710100中钢矿业开发有限公司,北京 100083四川省地质矿产勘查开发局区域地质调查队,四川成都 610213
地质学
热液脉型隐伏矿体找矿预测模型战略性矿产萤石矿床
hydrothermal vein-typeconcealed ore bodiesore prospecting modelcritical mineralfluorite deposit
《矿床地质》 2024 (004)
785-801 / 17
本文得到教育部前沿科学中心"深时数字地球"中央高校科技领军人才团队项目(编号:2652023001)、国家自然科学基金(编号:42302104、42272129)、四川省自然资源厅科研项目(编号:KJ-2023-011)、四川省自然科学基金杰出青年科学基金(编号:23NSFJQ0162)和浙江省级基础性公益性战略性地质资金(编号:省资2023019)共同资助
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