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大数据框架下金刚石地质成矿信息挖掘及应用

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文章导航 > 地球学报 > 2023 > 44(5): 909-915

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周冠云, 朱成河, 高存山, 褚志远, 肖克炎, 王江霞, 陈建平. 2023. 大数据框架下金刚石地质成矿信息挖掘及应用[J]. 地球学报, 44(5): 909-915. doi: 10.3975/cagsb.2023.010101
引用本文: 周冠云, 朱成河, 高存山, 褚志远, 肖克炎, 王江霞, 陈建平. 2023. 大数据框架下金刚石地质成矿信息挖掘及应用[J]. 地球学报, 44(5): 909-915. doi: 10.3975/cagsb.2023.010101
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ZHOU Guan-yun, ZHU Cheng-he, GAO Cun-shan, CHU Zhi-yuan, XIAO Ke-yan, WANG Jiang-xia, CHEN Jian-ping. 2023. Mining and Application of Diamond Geological Metallogenic Information under the Framework of Big Data. Acta Geoscientica Sinica, 44(5): 909-915. doi: 10.3975/cagsb.2023.010101
Citation: ZHOU Guan-yun, ZHU Cheng-he, GAO Cun-shan, CHU Zhi-yuan, XIAO Ke-yan, WANG Jiang-xia, CHEN Jian-ping. 2023. Mining and Application of Diamond Geological Metallogenic Information under the Framework of Big Data. Acta Geoscientica Sinica, 44(5): 909-915. doi: 10.3975/cagsb.2023.010101
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大数据框架下金刚石地质成矿信息挖掘及应用

  • 1. 中国地质大学(北京)地球科学与资源学院, 北京 100083;

  • 2. 北京市国土资源信息研究开发重点实验室, 北京 100083;

  • 3. 山东省第七地质矿产勘查院, 山东沂蒙 276600;

  • 4. 山东省地质矿产勘查开发局金刚石成矿机理与探测重点实验室, 山东沂蒙 276600;

  • 5. 中国地质科学院矿产资源研究所, 自然资源部成矿作用与资源评价重点实验室, 北京 100037

  • 基金项目:

    本文由山东省地质矿产勘查开发局[0]金刚石勘查大数据平台建设项目(编号: KY202212)资助

详细信息
    作者简介: 周冠云, 男, 1996 年生。博士研究生。主要从地质大数据及成矿预测研究。通讯地址: 100083, 北京市海淀区学院路29 号中国地质大学(北京)。E-mail: zhou553908246@163.com
    通讯作者: 朱成河, 男, 1983 年生。高级工程师。主要从事地质调查与矿产勘查。E-mail: 1762656606@qq.com

  • 中图分类号: P619.241

Mining and Application of Diamond Geological Metallogenic Information under the Framework of Big Data

  • 1. School of Earth Sciences and Resources, China University of Geosciences (Beijing), Beijing 100083;

  • 2. Beijing Key Laboratory of Land and Resources Information Research and Development, Beijing 100083;

  • 3. The 7th Institute of Geology & Mineral Exploration of Shandong Province, Yimeng, Shandong 276600;

  • 4. Key Laboratory Metallogenic Mechanism and Exploration of Diamonds in Shandong Provincial Bureau of Geology and Mineral Resources, Yimeng, Shandong 276600;

  • 5. MNR Key Laboratory of Metallogeny and Mineral Assessment, Institute of Mineral Resources, Chinese Academy of Geological Sciences, Beijing 100037

More Information
    Corresponding author: ZHU Cheng-he

    摘要
  • 随着大数据时代的到来, 地质行业将大数据作为新兴增长点进行培育和挖掘, 以山东蒙阴金刚石矿集区为研究对象, 基于大数据实现地质工作和信息技术的深度融合, 通过数据统计、挖掘、洞察与预测等分析并集成融合与成矿系统相关的源、运、储、变、保等知识, 全面提取蒙阴地区多元地质信息, 建立西峪矿区金刚石矿多项指标的成矿地质信息模型, 开展三维可视化成矿预测, 进而圈定找矿远景区。探寻金刚石大数据管理、分析及成矿预测新技术方法, 促进成矿新认知与找矿新发现。
    With the arrival of the era of big data, the geological industry has cultivated and excavated big data as a new growth point. Taking the Mengyin diamond concentration area in Shandong Province as the research object, the deep integration of geological work and information technology is realized based on big data. Through data statistics, mining, insight and prediction, the analysis and integration of source, transport, storage, change, protection and other knowledge related to the mineralization system are conducted, with the comprehensive extraction of multiple geological information in Mengyin area, the establishment of a multi index metallogenic geological information model for the diamond deposit in Xiyu mining area, the development of three-dimensional visual metallogenic prediction, and then the delineation of prospecting prospects. Explore the management, analysis and application of diamond big data and new technology and methods for metallogenic prediction, realize the mapping from geological big data to unit metallogenic advantage, quantitative prediction and definite probability analysis, improve the objectivity and intelligent level of metallogenic prediction, and promote new cognition of mineralization and new discovery of prospecting.
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  • 陈建平, 于萍萍, 史蕊, 于淼, 张顺昌. 2014. 区域隐伏矿体三维定量预测评价方法研究[J]. 地学前缘, 21(5): 211-220.

    陈建平, 李靖, 谢帅, 刘静, 胡彬. 2017. 中国地质大数据研究现状[J]. 地质学刊, 41(3): 353-366.

    陈麒玉, 刘刚, 何珍文, 张夏林, 吴冲龙. 2020. 面向地质大数据的结构-属性一体化三维地质建模技术现状与展望[J]. 地质科技通报, 39(4): 51-58.

    刘利宝, 吕新彪, 王巍巍, 曹新志. 2019. 成矿信息精细化研究的意义及有效途径[J]. 大地构造与成矿学, 43(2): 283-291.

    滕艳, 张地珂. 2013. 大数据时代需重视数字地质研究[N]. 中国国土资源报, 2013-03-14(006) [2022-03-05].

    王登红, 陈毓川, 徐志刚, 陈郑辉, 沈保丰, 汤中立, 裴荣富.2011. 成矿体系的研究进展及其在成矿预测中的应用[J].地球学, 32(4): 385-395.

    吴成平, 石睿, 邓茂盛. 2016. 浅议我国金刚石原生矿分布概况及找矿方法[J]. 西部资源, (6): 58-61.

    向杰, 肖克炎, 陈建平, 李诗. 2020. 基于成矿系统的三维定量预测研究--以四川拉拉铜矿为例[J]. 地球学报, 41(2):135-143.

    肖克炎, 孙莉, 阴江宁, 丁建华, 牛翠祎 , 陈建平, 杨毅恒. 2014.全国重要矿产预测评价[J]. 地球学报, 35(5): 543-551.

    周永章, 黎培兴, 王树功, 肖凡, 李景哲, 高乐. 2017. 矿床大数据及智能矿床模型研究背景与进展[J]. 矿物岩石地球化学通报, 36(2): 327-331.

    赵鹏大, 胡旺亮, 李紫金. 1983. 矿床统计预测的理论与实践[J].地球科学, (4): 107-121.

    赵文津. 2003. 岩石圈深部探测与青藏高原研究[J]. 中国工程科学, 5(2): 1-15 .

    翟裕生. 1999. 论成矿系统[J]. 地学前缘, 6(1): 14-28.

    CHEN Jian-ping, YU Ping-ping, SHI Rui, YU Miao, ZHANG Shun-chang. 2014. Research on three-dimensional quantitative prediction and evaluation methods of regional concealed ore bodies[J]. Earth Science Frontiers, 21(5): 211-220(in Chinese with English abstract).

    CHEN Jian-ping, LI Jing, XIE Shuai, LIU Jing, HU Bin. 2017.China geological big data research status[J]. Journal of Geology, 41(3): 353-366(in Chinese with English abstract).

    CHEN Qi-yu, LIU Gang, HE Zhen-wen, ZHANG Xia-lin, WU Chong-long. 2020. Current situation and prospect of structure-attribute integrated 3D geological modeling technology for geological big data[J]. Bulletin of Geological Science and Technology, 39(4): 51-58(in Chinese with English abstract).

    LIU Li-bao, LÜ Xin-biao, WANG Wei-wei, CAO Xin-zhi. 2019.Significance of mineralization information refinement and effective approaches[J]. Geotectonica et Metallogenia, 43(02):283-291(in Chinese with English abstract).

    TENG Yan, ZHANG Di-ke. 2013. Digital geology research needs attention in the era of big data[N]. China Land and Resources News, 2013-03-14(006) [2022-03-05](in Chinese).

    WANG Deng-hong, CHEN Yu-chuan, XU Zhi-gang, CHEN Zheng-hui, SHEN Bao-feng, TANG Zhong-li, PEI Rong-fu.2011. Advance in the study of mineralization system and its application to assessment of mineral resources[J]. Acta Geoscientica Sinica, 32(4): 385-395(in Chinese with English abstract).

    WU Cheng-ping, SHI Rui, DENG Mao-sheng. 2016. Brief Discussion on the Distribution and Prospecting Methods of China's Primary Diamond Deposits[J]. Western Resources, (6):58-61(in Chinese).

    XIANG Jie, XIAO Ke-yan, CHEN Jian-ping, LI Shi. 2020. 3D metallogenic prediction based on metallogenic system analysis: A case study in the Lala copper mine of Sichuan Province[J]. Acta Geoscientica Sinica, 41(2): 135-143(in Chinese with English abstract).

    XIAO Ke-yan, SUN Li, YIN Jiang-ning, DING Jian-hua, NIU Cui-yi, CHEN Jian-ping, YANG Yi-heng. 2014. Prediction and assessment of important mineral resources in China[J].Acta Geoscientica Sinica, 35(5): 543-551(in Chinese with English abstract).

    ZHOU Yong-zhang, LI Pei-xing, WANG Shu-gong, XIAO Fan, LI Jing-zhe, GAO Le. 2017. Research progress on big data and intelligent modelling of mineral deposits[J]. Bulletin of Mineralogy, Petrology and Geochemistry, 36(2): 327-331(in Chinese with English abstract).

    ZHAO Peng-da, HU Wang-Liang, LI Zi-jin. 1983. The theory and practices of statistical prediction for mineral deposits[J]. Earth Science, (4): 107-121(in Chinese with English abstract).

    ZHAO Wen-jin. 2003. Deep exploration for lithosphere with special reference to Qinghai-Tibet Plateau[J]. Strategic Study of CAE, 5(2): 1-15(in Chinese with English abstract).

    ZHAI Yu-sheng. 1999. On the Metallogenic System[J]. Earth Science Frontier, 6(1): 14-28(in Chinese with English abstract).

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收稿日期:  2022-10-28
修回日期:  2022-11-28

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