湘赣边界鹿井铀矿床三维定量预测研究
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本文为中核集团集中研发项目“南方重点花岗岩型铀矿基地资源预测与扩大”(编号:LTD1602)和中国核工业地质局生产中科研项目“华南富大铀矿空间定位条件与远景预测研究”(编号:202035-6)的成果


Study on the three-dimensional quantitative prediction of Lujing uranium deposit in Hunan-Jiangxi border
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    摘要:

    湘赣边界鹿井铀矿床是一个大型的花岗岩型铀矿床,位于鹿井矿田的中部。本文系统收集及整合鹿井铀矿床的三维空间多源信息,包括地质、钻探、地球物理及地球化学信息等,构建了地质数据库及三维地质模型,实现地质空间的三维可视化。在此基础上,根据研究区赋矿地层、含矿岩体、控矿构造等地质要素与矿化空间的耦合关系,以及地化异常等找矿标志,构建了该区找矿模型。通过三维距离场、三维形态场等三维空间信息分析方法,确立含矿构造带、不同岩性接触界面,以及岩体隆起与凹陷的致矿影响范围,并对控矿要素信息进行提取。结合区内地球物理、地球化学等矿化识别标志,建立预测评价模型。利用三维证据权法开展定量预测,圈定了3处成矿有利靶区,为指导研究区深部及外围铀矿找矿工作提供支撑。

    Abstract:

    The Lujing uranium deposit is a large scale granite-type uranium deposit in the Lujing uranium orefield,Hunan-Jiangxi border.Multi-source information of the Lujing uranium deposit was systemically collected and pre-processed to construct database and 3D geological model for visualization,which concludes geology,drilling-hole, geophysics and geochemistry information.Methods:In this paper,the methods include 3D distance buffer analysis and 3D morphology analysis for extracting ore-controlling factors were used to quantificationally determine the affection rang of structure,interfaces between different rocks and intrusion surface of uplift or depression.Meanwhile,3D weights of evidence was applied to delineate targets based on quantitative analysis of ore-controlling factors and anomalies.Results:Three targets were identified,and the resources estimation is several hundreds tons.Conclusions: Based on 3D geological modeling technology and 3D spatial analysis technology of ore controlling factors,visualization of sub-surface,spatial relationship between geological objects(hosting strata,intrusion and structure), anomalies and minerlization are clearly observed.therefore we can construct prospecting model for the study area.Though the calculation of the weights of ore controlling factors and the posterior probability of the cube,the concealed orebody in depth are identified.It is confirmed that there is a certain metallogenic potential in the depth of the study area and it provides strong support for further exploration.

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耿瑞瑞,范洪海,孙远强,何德宝,俞嘉嘉.2021.湘赣边界鹿井铀矿床三维定量预测研究[J].地质论评,67(1):67020017,[DOI].
GENG Ruirui, FAN Honghai, SUN Yuanqiang, HE Debao, YU Jiajia.2021. Study on the three-dimensional quantitative prediction of Lujing uranium deposit in Hunan-Jiangxi border[J]. Geological Review,67(1):67020017.

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  • 收稿日期:2020-06-28
  • 最后修改日期:2021-02-01
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  • 在线发布日期: 2021-02-19
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