| 基于勘查数据的胶东大尹格庄金矿床控矿地质因素定量分析 |
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| 引用本文： | 毛先成,王迷军,刘占坤,陈进,邓浩.基于勘查数据的胶东大尹格庄金矿床控矿地质因素定量分析[J].地学前缘,2019,26(4):84-93. |
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| 作者姓名： | 毛先成 王迷军 刘占坤 陈进 邓浩 |
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| 作者单位： | 1. 中南大学 地球科学与信息物理学院, 湖南 长沙 410083
2. 中南大学 有色金属成矿预测与地质环境监测教育部重点实验室, 湖南 长沙 410083 |
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| 基金项目： | 国家自然科学基金项目(41472301，41772349)；山东省重点研发计划项目(2017CXGC1605)；国家重点研发计划项目(2017YFC0601503) |
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| 摘 要： | 胶东金矿床集中产于伸展构造系统内,常常显示出明显的构造控矿特征,但前人提出的阶梯式成矿模式难以回答哪些构造特征真正控制了金矿床的形成。大数据时代的到来为地质勘查数据的挖掘、成矿规律的探索提供了新的途径。选择胶东地区的大尹格庄金矿床为研究对象,在系统收集勘查资料的基础上,通过空间分析技术对控矿因素的不同特征进行定量表达,进而分析其与金矿化的相关关系。分析结果显示招平断裂带的距离场因素与金品位和金属量均呈双峰分布特征,与大尹格庄金矿床存在的两类矿化相对应,直观反映了不同类型矿石的相对空间位置。断层的坡度与金品位近似呈高斯分布,品位峰值区累积了大量的金属量,暗示了成矿流体更多地在某一特定的坡度范围内汇聚、停留。断裂面的陡缓变化和起伏程度显著地影响了金的富集程度,能够清晰地区分出经济品位的矿石和矿化体并确定矿体的最有利部位。在蚀变带中最强烈的蚀变部位,金的沉淀量急剧增加,暗示蚀变带内相同的部位可能叠加了持续的热液交代或多次成矿作用。控矿因素大数据分析表明,招平断裂面的形态特征是控制大尹格庄形成的关键因素,这种规律可被推广到整个胶东地区的金矿床。
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| 关 键 词： | 控矿因素 勘探大数据 定量分析 胶东金矿 大尹格庄金矿床 胶东半岛 |
| 收稿时间： | 2019-04-20 |
Quantitative analysis of ore-controlling factors based on exploration data of the Dayingezhuang gold deposit in the Jiaodong Peninsula |
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| MAO Xiancheng,WANG Mijun,LIU Zhankun,CHEN Jin,DENG Hao.Quantitative analysis of ore-controlling factors based on exploration data of the Dayingezhuang gold deposit in the Jiaodong Peninsula[J].Earth Science Frontiers,2019,26(4):84-93. |
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| Authors: | MAO Xiancheng WANG Mijun LIU Zhankun CHEN Jin DENG Hao |
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| Institution: | (School of Geosciences and Info-Physics,Central South University,Changsha 410083,China;Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring (Ministry of Education),Central South University,Changsha 410083,China) |
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| Abstract: | The Jiaodong gold deposit typically occurs in an extensional fault system and often exhibits obvious structural ore-control characteristics. However, the step metallogenic model of the Jiaodong gold deposit is inadequate to delineate the structural features that essentially control the formation of the deposit. The big data technology has provided a new approach to mine exploration data and explore minerogenetic regularities. In this paper, we studied the Dayingezhuang gold deposit in the Jiaodong peninsula. Based on the collected exploration data and using the spatial analysis method, we performed quantitative assessment of different features of ore-controlling factors to determine their association with gold mineralization. The results show a bimodal distribution between either gold grade or quantity and the fault distance factor. The bimodal distribution is consistent with the occurrence of two ore types in the gold deposit and directly indicates the relative spatial positions between the two ore types. Plot of gold grade vs. fault slope showed a near Gaussian distribution peaking at a slope range for large gold accumulation, suggesting that ore-forming fluids prefer to converge and remain at certain sloped sections. We observed that slope change and undulation of fault have significant effects on ore distribution and can clearly distinguish the locations of orebodies in terms of ore quality. We also observed sharp increase of gold accumulation in the intense alteration zone, where continuous hydrothermal process or multiple mineralization most likely had occurred. We conclude that the morphological features of the Zhaoping fault played key roles in the formation of the Dayingezhuang gold deposit. This conclusion may be applied to other Jiaodong gold deposits. |
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| Keywords: | ore-controlling factor exploration big data quantitative analysis Jiaodong gold deposit Dayingezhuang gold deposit Jiaodong Peninsula |
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