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2023 Vol. 44, No. 5
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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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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

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  • Corresponding author: ZHU Cheng-he  
Received Date:  28 October 2022
Revised Date:  28 November 2022
    Abstract
  • 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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    • References
  • 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.

    Google Scholar

    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.

    Google Scholar

    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.

    Google Scholar

    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.

    Google Scholar

    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].

    Google Scholar

    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.

    Google Scholar

    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.

    Google Scholar

    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.

    Google Scholar

    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.

    Google Scholar

    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.

    Google Scholar

    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.

    Google Scholar

    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 .

    Google Scholar

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

    Google Scholar

    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).

    Google Scholar

    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).

    Google Scholar

    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).

    Google Scholar

    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).

    Google Scholar

    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).

    Google Scholar

    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).

    Google Scholar

    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).

    Google Scholar

    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).

    Google Scholar

    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).

    Google Scholar

    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).

    Google Scholar

    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).

    Google Scholar

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

    Google Scholar

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

    Google Scholar

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