地学前缘 ›› 2018, Vol. 25 ›› Issue (3): 148-158.DOI: 10.13745/j.esf.2018.03.012

• 能源与化工矿产 • 上一篇    下一篇

中国铀矿资源成矿地质特征与资源潜力分析

朱鹏飞,蔡煜琦,郭庆银,刘武生,李建红,张明林,漆富成,张字龙,贾立城,徐浩   

  1. 1. 核工业北京地质研究院, 北京 100029
    2. 中国核工业地质局, 北京 100013
  • 收稿日期:2017-12-15 修回日期:2018-03-26 出版日期:2018-05-15 发布日期:2018-05-15
  • 作者简介:朱鹏飞(1978—),男,博士,高级工程师,主要从事数学地质及矿产资源评价研究。E-mail:zpfjpu@126.com
  • 基金资助:
    中国地质调查局地质大调查项目(1212010733812);中央军委装备发展部国防预研项目(3210402)

 Metallogenetic and geological characterization and resources potential analysis of uranium resources in China.

ZHU Pengfei,CAI Yuqi,GUO Qingyin,LIU Wusheng,LI Jianhong,ZHANG Minglin,QI Fucheng,ZHANG Zilong,JIA Licheng,XU Hao   

  • Received:2017-12-15 Revised:2018-03-26 Online:2018-05-15 Published:2018-05-15

摘要: 铀资源是我国重要的战略资源和能源矿产,为摸清其资源潜力,科学规划资源勘探、开发与利用,铀矿与其他25个重要矿种一同开展了全国性的资源潜力评价工作。在项目开展过程中,通过对中国铀矿资源特征、铀矿床类型(成因类型和预测类型)、时空分布研究,总结了中国铀矿的成矿规律。评估工作全面梳理了中国铀资源勘查成果与最近铀矿勘查工作进展,总结了中国铀矿时空分布特征及规律,划分了29个铀成矿区带和20个铀成矿远景区带;建立了4大类9类21亚类铀矿床类型划分方案,划分了50个铀矿预测类型;采用矿床模型综合地质信息法完成了共49个铀成矿(远景)区带的资源潜力评价工作;并对各区带潜力评价成果进行了全面的统计与分析。上述研究成果综合分析、评价了我国铀资源潜力,为未来的铀矿找矿工作和核能发展规划提供了依据。

关键词: 铀矿, 铀矿床类型, 铀成矿区带, 铀成矿规律, 时空分布, 铀矿预测类型, 铀矿资源潜力

Abstract: Uranium is an important strategic and energy resource in China. Its resources potential was thoroughly investigated in the national mineral resources assessment project along with other 25 key minerals. During the 20062013 implementation period of the project, we documented the metallogenic pattern of uranium resources in China through geologic characterization of genetic and prediction types and temporospatial distribution of uranium deposits. Presently with the completion of uranium resources evaluation and integrating recent development in uranium exploration, we propose that the uranium deposits in China can be delineated into 29 uranium metallogenic belts and 20 uranium prospective areas. We also suggest that the deposits can be further divided into 4 classes, 9 types, 21 genetic subtypes and 50 prediction types. In this work, resource potentials of the 49 metallogenic belts and prospective area were assessed using the geological information integration method and deposit model, and each evaluation was subjected to a comprehensive statistical analysis. Our resource potential evaluation will aid China s uranium exploration and nuclear development in the future.

Key words: uranium deposit, uranium deposit type, uranium metallogenic belt, uranium metallogenic regularity, temporal and spatial distribution, uranium deposit prediction type, uranium deposit resources potential

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