Introduction of the theory and method of prospecting prediction of metallogenic geological body

YAN Guangsheng; YE Tianzhu; PANG Zhenshan; XUE Jianling; CHENG Zhizhong; LYU Zhicheng; WEI Changshan; WANG Yuwang; ZHU Xinyou; CHEN Hui; ZHANG Xiaofei; WEI Hantao

doi:10.12097/j.issn.1671-2552.2023.06.001

2023 Vol. 42, No. 6

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Article navigation > Geological Bulletin of China > 2023 > 42(6): 857-882

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YAN Guangsheng, YE Tianzhu, PANG Zhenshan, XUE Jianling, CHENG Zhizhong, LYU Zhicheng, WEI Changshan, WANG Yuwang, ZHU Xinyou, CHEN Hui, ZHANG Xiaofei, WEI Hantao. 2023. Introduction of the theory and method of prospecting prediction of metallogenic geological body. Geological Bulletin of China, 42(6): 857-882. doi: 10.12097/j.issn.1671-2552.2023.06.001

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YAN Guangsheng, YE Tianzhu, PANG Zhenshan, XUE Jianling, CHENG Zhizhong, LYU Zhicheng, WEI Changshan, WANG Yuwang, ZHU Xinyou, CHEN Hui, ZHANG Xiaofei, WEI Hantao. 2023. Introduction of the theory and method of prospecting prediction of metallogenic geological body. Geological Bulletin of China, 42(6): 857-882. doi: 10.12097/j.issn.1671-2552.2023.06.001

Introduction of the theory and method of prospecting prediction of metallogenic geological body

1.
China Geological Survey, Beijing 100037, China
2.
Technical Guidance Center for Mineral Resources Exploration, Ministry of Natural Resources of the People's Republic of China, Beijing 100037, China
3.
Development and Research Center, China Geological Survey, Beijing 100037, China
4.
Institute of Geomechanics, Chinese Academy of Geological Sciences, Beijing 100190, China
5.
Beijing Institute of Geology for Mineral Resources, Beijing 100012, China
6.
Zhongse Zijin Geological Exploration(Beijing) Co., Ltd., Beijing 100012, China

More Information

Corresponding author: YE Tianzhu, ytz999@126.com

Received Date: 03 November 2022

Revised Date: 18 May 2023

Publish Date: 15 June 2023

Abstract

Abstract

Based on the essential theories of geochemistry, mineralogy, structural geology, and economic geology, supported by the practices and research achievements of 230 mineral explorations at the deep and adjacent areas of mining districts and 129 typical mineral deposits, with the thought of combining the endopathic causes(elementary geochemistry characteristics)and exopathic causes(different types of geologic process)of mineralization, this paper proposes new concepts innovatively, called metallogenic geological body, metallogenic structural plane, metallogenic characteristics, and so on.Metallogenic geological body is the carrier of ore-forming geological processes that form the main minerals(with industrial value)and determine the spatial location of the main ore-forming stage.It is divided into five types of metallogenic geological bodies formed by sedimentation, volcanism, magmatism, metamorphism, and large-scale deformation.Metallogenic structural plane is the spatial location of ore-body occurrence, including structural interface, lithology interface, and physicochemical transition interface.Metallogenic characteristics can directly indicate the location of ore bodies and have special significance for prospecting and prediction.According to the new proposed metallogenic geologic process, main deposit types in China are redistricted.The geologic features of these deposit types are summarized.Geological models for prospecting and prediction of metallogenic geological body, metallogenic structural plane, and metallogenic characteristics(also known as the "Trinity" prospecting and prediction geological model)are constructed, reflecting the ore-body occurrence location of these different deposit types.Moreover, working procedures of prospecting and prediction of metallogenic geological body are put forward.The prospecting and prediction theory and method of metallogenic geological body is important guiding significance for mineral deposit research, prospecting prediction, and mineral exploration.
- metallogenic geological body /
- metallogenic structural plane /
- metallogenic characteristics /
- prospecting prediction model /
- trinity /
- mineral exploration engineering

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References

[1]	Bonham H F J. Models for volcanic-hosted epithermal precious metal deposits: A review[C]//Volcanism, hydrothermal systems and related mineralization. International Volcanological Congress, 1986: 13-17. Google Scholar
[2]	Kylet J R, Li N, Jackson K G. Jinding: A giant Tertiary sandstone hosted Zn-Pb deposit, Yunnan, China[J]. Society of Economic Geologists, 2002, (50): 9-16. Google Scholar
[3]	Paradis S, Hannigan P, Dewing K. Mississippi Valley-type lead-zinc deposits[J]. Mineral Deposits of Canada, 2007, (5): 185-203. Google Scholar
[4]	蔡煜琦, 徐浩, 郭庆银, 等. 江西省桃山地区花岗岩型铀矿预测及找矿方向[J]. 吉林大学学报(地球科学版), 2013, 43(4): 1283-1291. Google Scholar
[5]	陈建平, 陈勇, 朱鹏飞, 等. 数字矿床模型及其应用——以新疆阿勒泰地区可可托海3号伟晶岩脉稀有金属隐伏矿预测为例[J]. 地质通报, 2011, 30(5): 630-641. Google Scholar
[6]	陈毓川, 王登红, 徐志刚, 等. 阿尔泰成矿省的成矿系列及成矿规律[M]. 北京: 原子能出版社, 2002. Google Scholar
[7]	陈辉, 林鲁军, 庞振山, 等. 四川会理拉拉铜矿找矿预测模型构建与找矿示范[J]. 地学前缘, 2021, 28(3): 309-327. Google Scholar
[8]	成秋明, 赵鹏大, 陈建国, 等. 奇异性理论在个旧锡铜矿产资源预测中的应用: 成矿弱信息提取和复合信息分解[J]. 地球科学(中国地质大学学报), 2009, 34(2): 232-242. Google Scholar
[9]	丁建华, 肖克炎, 娄德波, 等. 大比例尺三维矿产预测[J]. 地质与勘探, 2009, 45(6): 729-734. Google Scholar
[10]	范永香, 阳正熙. 成矿规律与成矿预测[M]. 徐州: 中国矿业大学出版社, 2003. Google Scholar
[11]	胡惠民. 谈大比例尺矿产预测[J]. 中国地质, 1992, (10): 4-7. Google Scholar
[12]	胡惠民. 大比例尺成矿预测方法[M]. 北京: 地质出版社, 1995. Google Scholar
[13]	韩吟文, 马振东, 张宏飞, 等. 地球化学[M]. 北京: 地质出版社, 2003. Google Scholar
[14]	韩润生, 胡煜照, 王学昆, 等. 滇东北富锗银铅锌多金属矿集区矿床模型[J]. 地质学报, 2012, 86(2): 280-294. Google Scholar
[15]	黄宗理, 张良弼. 地球科学大辞典——应用学科卷[M]. 北京: 地质出版社, 2005. Google Scholar
[16]	贾德龙, 张志辉, 姚磊, 等. 浙江漓渚铁矿"硅钙面"成矿机制探讨[J]. 地质论评, 2015, 61(S1): 487-488. Google Scholar
[17]	吕志成, 陈辉, 宓奎峰, 等. 勘查区找矿预测理论与方法及其应用案例[J]. 地质力学学报, 2022, 28(5): 842-865. Google Scholar
[18]	李红阳, 李英杰, 杨秋荣, 等. 铜陵矿集区块状硫化物矿床的二元结构特征[J]. 地质与勘探, 2006, 42(3): 8-11. Google Scholar
[19]	李顺庭, 祝新友, 王京彬. 陆相次火山岩型矿床研究评述[J]. 矿床地质, 2014, 33(S1): 705-706. Google Scholar
[20]	刘英俊, 曹励明, 李兆麟, 等. 元素地球化学[M]. 北京: 科学出版社, 1984. Google Scholar
[21]	毛景文, 张作衡, 裴荣富. 中国矿床模型概论[M]. 北京: 地质出版社, 2012. Google Scholar
[22]	斯米尔诺夫В И. 矿床地质学[M]. 《矿床地质学》翻译组, 译. 北京: 地质出版社, 1985. Google Scholar
[23]	庞振山, 薛建玲, 程志中, 等. 成矿地质体找矿预测理论与方法在找矿预测中的应用[J/OL]. 地质通报, 2023, https://kns.cnki.net/kcms/detail//11.4648.P.20230113.1340.002.html. Google Scholar
[24]	潘长云, 王润民, 赵昌龙. 新疆喀拉通克Y1含矿岩体的岩石化学特征及其与成矿的关系[J]. 岩石学报, 1994, 10(3): 261-274. Google Scholar
[25]	秦克章, 夏代祥, 李光明, 等. 西藏驱龙斑岩-夕卡岩铜钼矿床[M]. 北京: 科学出版社, 2014. Google Scholar
[26]	秦克章, 赵俊兴, 范宏瑞, 等. 试论主要类型矿床的形成深度与最大延深垂幅[J]. 地学前缘, 2021, 28(3): 271-294. Google Scholar
[27]	孙赫, 秦克章, 李金祥, 等. 地幔部分熔融程度对东天山镁铁质-超镁铁质岩铂族元素矿化的约束——以图拉尔根和香山铜镍矿为例[J]. 岩石学报, 2008, 24(5): 1079-1086. Google Scholar
[28]	孙文珂. 开展矿产预测的几个问题[J]. 中国地质, 1988, (6): 14-17. Google Scholar
[29]	舒斌. 含金韧-脆性断裂中界面转换成矿机制探讨[J]. 地质与资源, 2005, (3): 219-222. Google Scholar
[30]	唐菊兴, 邓世林, 郑文宝, 等. 西藏墨竹工卡县甲玛铜多金属矿床勘查模型[J]. 矿床地质, 2011, 30(2): 179-196. Google Scholar
[31]	王世称. 综合信息矿产预测理论与方法体系新进展[J]. 地质通报, 2010, 29(10): 1399-1403. Google Scholar
[32]	王嘉玮, 朱裕生. 界面成矿探讨[J]. 中国地质, 2019, 46(1): 77-86. Google Scholar
[33]	王玉往, 叶天竺, 王京彬, 等. 我国主要矿床类型划分及成矿谱系架构初探——以危机矿山矿床为例[J]. 矿物学报, 2009, 29(S1): 487-488. Google Scholar
[34]	王玉往, 王京彬, 李德东, 等. 新疆北部幔源岩浆矿床的类型、时空分布及成矿谱系[J]. 矿床地质, 2013, 32(2): 223-243. Google Scholar
[35]	王安建, 曹殿华, 高兰, 等. 论云南兰坪金顶超大型铅锌矿床的成因[J]. 地质学报, 2009, 83(1): 43-54. Google Scholar
[36]	吴承烈. 中大比例尺矿产预测中几个问题的探讨[J]. 中国地质, 1988, (12): 28-30. Google Scholar
[37]	夏明哲, 姜常义, 钱壮志, 等. 新疆东天山黄山东岩体岩石地球化学特征与岩石成因[J]. 岩石学报, 2010, 26(8): 2413-2430. Google Scholar
[38]	肖克炎, 朱裕生. 矿产资源GIS定量评价[J]. 中国地质, 2000, (7): 29-32. Google Scholar
[39]	肖克炎, 娄德波, 孙莉, 等. 全国重要矿产资源潜力评价一些基本预测理论方法的进展[J]. 吉林大学学报(地球科学版), 2013, 43(4): 1073-1082. Google Scholar
[40]	薛建玲, 庞振山, 程志中, 等. 深部找矿基本问题及方法[J]. 地质通报, 2020, 39(8): 1125-1136. Google Scholar
[41]	叶天竺, 肖克炎, 严光生. 矿床模型综合地质信息预测技术研究[J]. 地学前缘, 2007a, (5): 11-19. Google Scholar
[42]	叶天竺, 薛建玲. 金属矿床深部找矿中的地质研究[J]. 中国地质, 2007b, 34(5): 855-869. Google Scholar
[43]	叶天竺, 吕志成, 庞振山, 等. 勘查区找矿预测理论与方法(总论)[M]. 北京: 地质出版社, 2014. Google Scholar
[44]	叶天竺, 韦昌山, 王玉往, 等. 勘查区找矿预测理论与方法(各论)[M]. 北京: 地质出版社, 2017. Google Scholar
[45]	赵鹏大. 矿产资源总量预测的若干问题[J]. 中国地质, 1984, (1): 1-4. Google Scholar
[46]	赵鹏大, 陈建平, 张寿庭. "三联式"成矿预测新进展[J]. 地学前缘, 2003, 10(2): 455-463. Google Scholar
[47]	赵伦山, 张本仁. 地球化学[M]. 北京: 地质出版社, 1988. Google Scholar
[48]	邹海洋, 戴塔根, 胡祥昭. 喀拉通克铜镍硫化矿地质特征及找矿预测[J]. 地质地球化学, 2001, 29(3): 70-75. Google Scholar
[49]	张德会, 赵伦山. 地球化学[M]. 北京: 地质出版社, 1992. Google Scholar
[50]	张德会. 热液成矿作用地球化学[M]. 北京: 地质出版社, 2020. Google Scholar
[51]	朱裕生, 肖克炎, 丁鹏飞, 等. 成矿预测方法[M]. 北京: 地质出版社, 1997. Google Scholar
[52]	朱裕生. 矿产预测理论——区域成矿学向矿产勘查延伸的理论体系[J]. 地质学报, 2006, (10): 1518-1527. Google Scholar
[53]	于晓飞, 吕志成, 孙海瑞, 等. 全国整装勘查区成矿系统研究与矿产勘查新进展[J]. 吉林大学学报(地球科学版), 2020, 50(5): 1261-1288. Google Scholar