PRESENT SITUATION AND DEVELOPMENT TENDENCY OF METALLOGENIC PREDICTION

LIU Lin; RUI Hui-chao

Volume 22 Issue 2

Jun. 2016

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LIU Lin, RUI Hui-chao, 2016. PRESENT SITUATION AND DEVELOPMENT TENDENCY OF METALLOGENIC PREDICTION. Journal of Geomechanics, 22 (2): 223-231.

Citation:

LIU Lin, RUI Hui-chao, 2016. PRESENT SITUATION AND DEVELOPMENT TENDENCY OF METALLOGENIC PREDICTION. Journal of Geomechanics, 22 (2): 223-231.

Citation:

LIU Lin, RUI Hui-chao, 2016. PRESENT SITUATION AND DEVELOPMENT TENDENCY OF METALLOGENIC PREDICTION. Journal of Geomechanics, 22 (2): 223-231.

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PRESENT SITUATION AND DEVELOPMENT TENDENCY OF METALLOGENIC PREDICTION

LIU Lin^{1, 2
,},
RUI Hui-chao³

1.
Shaanxi Key Laboratory of exploration and comprehensive utilization of mineral resources, Xi'an 710054, China
2.
Shaanxi Geological and mineral Survey and development corporation, Xi'an 710065, China
3.
College of Earth Science and Resources, Chang'an University, Xi'an 710064, China

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Received: 2015-11-30
Published: 2016-06-01

Abstract

Abstract

Based on the summarization and generalization of the metallogenic prediction development process, we illuminated the related theory and the commonly used methods of metallogenic prediction as well as the orebody location prediction research. We discussed the development trends of metallogenic prediction from four different aspects, with aim to provide some useful advises and references for prediction of mineralization.
- metallogenic prediction,
- geological anomalies,
- prediction method,
- locating predication,
- integrated information

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References(43)

References

[1]	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. http://www.cnki.com.cn/Article/CJFDTOTAL-CCDZ201304003.htm XIAO Ke-yan, LOU De-bo, SUN Li, et al. Some progresses of mineral prediction theory and method in important mineral resource potential assessment of China[J]. Journal of Jilin University: Earth Science Edition, 2013, 43(4): 1073~1082. http://www.cnki.com.cn/Article/CJFDTOTAL-CCDZ201304003.htm
[2]	阳正熙.西方国家的"成矿规律和成矿预测"的发展和现状[J].成都理工大学学报:自然科学版, 2000, (Z1):259~263. http://www.cnki.com.cn/Article/CJFDTOTAL-CDLG2000S1063.htm YANG Zheng-xi. Development and current state of metallogenetic regularities and predictions in western countries[J]. Journal of Chengdu University of Technology: Science and Technology Edition, 2000, (Z1): 259~263. http://www.cnki.com.cn/Article/CJFDTOTAL-CDLG2000S1063.htm
[3]	Knox Robinson C M, Wyborn L A I. Towards a holistic exploration strategy: Using geographic information systems as a tool to enhance exploration[J]. Australian Journal of Earth Sciences, 1997, 44: 453~463. doi: 10.1080/08120099708728326
[4]	陈建平, 史蕊, 王丽梅, 等.基于数字矿床模型的陕西潼关县Q8号金矿脉西段三维成矿预测[J].地质学刊, 2012, 36(3):237~242. http://www.cnki.com.cn/Article/CJFDTOTAL-JSDZ201203004.htm CHEN Jian-ping, SHI rui, WANG Li-mei, et al. 3D metallogenic prediction for western section of Q8 gold deposit in Tongguan County of Shaanxi based on digital mineral deposit model[J]. Journal of Geology, 2012, 36(3): 237~242. http://www.cnki.com.cn/Article/CJFDTOTAL-JSDZ201203004.htm
[5]	史蕊, 陈建平, 王刚, 等.云南个旧竹林矿段三维成矿预测及靶区优选[J].地质通报, 2015, 34(5):944~952. http://www.cnki.com.cn/Article/CJFDTOTAL-ZQYD201505014.htm SHI Rui, CHEN Jian-ping, WANG Gang, et al. The 3D metallogenic prediction and optimization of targets in the Zhulin ore block of Gejiu, Yunnan Province[J]. Geologcal Bulletin of China, 2015, 34(5): 944~952. http://www.cnki.com.cn/Article/CJFDTOTAL-ZQYD201505014.htm
[6]	于萍萍, 陈建平, 柴福山, 等.基于地质大数据理念的模型驱动矿产资源定量预测[J].地质通报, 2015, 34(7):1333~1343. http://www.cnki.com.cn/Article/CJFDTOTAL-ZQYD201507011.htm YU Ping-Ping, CHEN Jian-ping, CHAI Fu-Shan, et al. Research on model-driven quantitative prediction an d evaluation of mineral resources based on geological big data concept[J]. Geological Bulletin of China, 2015, 34(7): 1333~1343. http://www.cnki.com.cn/Article/CJFDTOTAL-ZQYD201507011.htm
[7]	梁婷, 高景刚, 朱文戈.成矿流体类型及研究方法综述[J].西安文理学院学报, 2005, 8(4):36~42. http://www.cnki.com.cn/Article/CJFDTOTAL-XAJY200504008.htm LIANG Ting, GAO Jing-gang, ZHU Wen-ge. A Summary on the Types of Ore-Forming Fluids and Research Methods[J]. Journal of Xi'an University of Arts & Science:Natural Science Edition, 2005, 8(4): 36~42. http://www.cnki.com.cn/Article/CJFDTOTAL-XAJY200504008.htm
[8]	毕金龙.地幔柱及其成矿作用综述[J].地质与资源, 2005, 14(3):223~226. http://www.cnki.com.cn/Article/CJFDTOTAL-GJSD200503013.htm BI Jin-long. A Review on mantle plume and ITS ore-forming process[J]. Geology and Resources, 2005, 14(3): 223~226. http://www.cnki.com.cn/Article/CJFDTOTAL-GJSD200503013.htm
[9]	涂光炽.超大型矿床的找寻和理论研究[J].矿产与地质, 1989, (1):1~8. http://cdmd.cnki.com.cn/Article/CDMD~10284~1016058090.htm TU Guang-zhi. Discovery of super-large mineral deposits and its theoretical study[J]. Mineral Resources and Geology, 1989, (1): 1~8. http://cdmd.cnki.com.cn/Article/CDMD~10284~1016058090.htm
[10]	翟裕生.成矿系列研究问题[J].现代地质, 1992, 6(3):301~308. http://www.cnki.com.cn/Article/CJFDTOTAL-DQXB201204003.htm ZHAI Yu-sheng. Some problems on the study of metallogenic series[J]. Geoscience Journal of Graduate School, China University of Geosciences, 1992, 6(3): 301~308. http://www.cnki.com.cn/Article/CJFDTOTAL-DQXB201204003.htm
[11]	谢学锦.战术性与战略性的深穿透地球化学方法[J].地学前缘, 1998, 5(2):171~183. http://www.cnki.com.cn/Article/CJFDTOTAL-DXQY802.000.htm XIE Xue-jin. Tactical and strategic deep penetration geochemical surveys[J]. Earth Science Frontiers, 1998, 5(2): 171~183. http://www.cnki.com.cn/Article/CJFDTOTAL-DXQY802.000.htm
[12]	范永香.成矿规律与成矿预测[M].徐州:中国矿业大学出版社, 2003.. FAN Yong-xiang. Metallogenetic Regularities and Prediction[M]. Xuzhou: China University and Technology Press, 2003.
[13]	刘石年.成矿预测学[M].长沙:中南工业大学出版社, 1993. LIU Shi-nian. Study of metallogenic prediction[M]. Changsha: Central South University Press, 1993.
[14]	赵鹏大.三联式资源定量预测与评价-数字找矿理论与实践探讨[J].地球科学-中国地质大学学报, 2002, 27(5):482~489. http://www.cnki.com.cn/Article/CJFDTOTAL-DQKX200205001.htm ZHAO Peng-da. "Three-Component" Quantitative Resource Prediction and Assessments: Theory and Practice of Digital Mineral Prospecting[J]. Earth Science-Journal of China University of Geosciences, 2002, 27(5): 482~489. http://www.cnki.com.cn/Article/CJFDTOTAL-DQKX200205001.htm
[15]	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):455~462. http://www.cnki.com.cn/Article/CJFDTOTAL-DXQY200302034.htm ZHAO Peng-da, CHEN Jian-ping, ZHANG Shou-ting. The new development of "Three Components" Quantitative Mineral Prediction[J]. Earth Science Frontiers, 2003, 10(2): 455~463. http://www.cnki.com.cn/Article/CJFDTOTAL-DXQY200302034.htm
[16]	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. doi: 10.3969/j.issn.1671~2552.2010.10.002 WANG Shi-cheng. The new development of theory and method of synthetic information mineral resources prognosis[J]. Geologcal Bulletin OF China, 2010, 29(10): 1399~1403. doi: 10.3969/j.issn.1671~2552.2010.10.002
[17]	陈永清, 王世称.综合信息成矿系列预测的基本原理与方法[J].山东地质, 1995, 11(1):55~62. http://www.cnki.com.cn/Article/CJFDTOTAL-SDDI501.007.htm CHEN Yong-qing, WANG Shi-cheng. The Basic Principles and Methods ore-Forming Series Prognosis of Comprehensive information[J]. Geology of Shandong, 1995, 11(1): 55~62. http://www.cnki.com.cn/Article/CJFDTOTAL-SDDI501.007.htm
[18]	侯翠霞, 刘向冲, 张文斌, 等.成矿预测理论与方法新进展[J].地质通报, 2010, 26(6):953~960. http://www.cnki.com.cn/Article/CJFDTOTAL-DZKT201703005.htm HOU Cui-xia, LIU Xiang-chong, ZHANG Wen-bin, et al. New method and theory of metallogenic prediction. Geological Bulletin of China, 2010, 26(6): 953~960. http://www.cnki.com.cn/Article/CJFDTOTAL-DZKT201703005.htm
[19]	肖克炎, 丁建华, 刘锐.美国"三步式"固体矿产资源潜力评价方法评述[J].地质论评, 2006, 52(6):793~798. http://www.cnki.com.cn/Article/CJFDTOTAL-DZLP200606011.htm XIAO Ke-yan, DING Jian-hua, LIU Rui. The Discussion of Three-part Form of Non-fuel Mineral Resource Assessment[J]. Geological Review, 2006, 52(6): 793~798. http://www.cnki.com.cn/Article/CJFDTOTAL-DZLP200606011.htm
[20]	赵鹏大.三联式资源定量预测与评价——数字找矿理论与实践探讨[J].地球科学:中国地质大学学报, 2002, 27(5):482~489. http://www.cnki.com.cn/Article/CJFDTOTAL-DQKX200205001.htm ZHAO Peng-da. "Three-Component" Quantitative Resource Prediction and Assessments: Theory and Practice of Digital Mineral Prospecting[J]. Earth Science-Journal of China University of Geosciences, 2002, 27(5): 482~489. http://www.cnki.com.cn/Article/CJFDTOTAL-DQKX200205001.htm
[21]	谢学锦, 刘大文, 向运川, 等.地球化学块体——概念和方法学的发展[J].中国地质, 2002, 29(3):225~233. http://www.cnki.com.cn/Article/CJFDTOTAL-DIZI200203000.htm XIE Xue-jing, LIU Da-wen, XIANG Yun-chuan, et al. Geochemical blocks-Development of concept and methodology[J]. Chinese Geology, 2002, 29(3): 225~233. http://www.cnki.com.cn/Article/CJFDTOTAL-DIZI200203000.htm
[22]	李随民, 吴景霞, 栾文楼, 等.地球化学块体方法在冀北金矿资源潜力估算中的应用[J].中国地质, 2009, 26(2):443~449. http://www.cnki.com.cn/Article/CJFDTOTAL-DIZI200902019.htm LI Sui-min, WU Jing-xia, LUAN Wen-lou, et al. The application of geochemical block method to gold resource assessment in northern Hebei Province[J]. Chinese Geology, 2009, 26(2): 443~449. http://www.cnki.com.cn/Article/CJFDTOTAL-DIZI200902019.htm
[23]	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, 2007, 14(5):11~19. http://www.cnki.com.cn/Article/CJFDTOTAL-DXQY200705003.htm YE Tian-zhu, XIAO Ke-yan, YAN Guang-sheng. Methodology of deposit modeling and mineral resource potential assessment using integrated geological information[J]. Earth Science Frontiers, 2007, 14(5): 11~19. http://www.cnki.com.cn/Article/CJFDTOTAL-DXQY200705003.htm
[24]	叶天竺.矿床模型综合地质信息预测技术方法理论框架[J].吉林大学学报:地球科学版, 2013, 43(4):1053~1072. http://www.cnki.com.cn/Article/CJFDTOTAL-CCDZ201304002.htm YE Tian-zhu. Theoretical Framework of Methodology of Deposit Modeling and Integrated Geological Information for Mineral Resource Potential Assessment[J]. Journal of Jilin University: Earth Science Edition, 2013, 43(4): 1053~1072. http://www.cnki.com.cn/Article/CJFDTOTAL-CCDZ201304002.htm
[25]	肖克炎, 李楠, 王琨, 等.大数据思维下的矿产资源评价[J].地质通报, 2015(7):1266~1272. http://www.cnki.com.cn/Article/CJFDTOTAL-ZQYD201507003.htm XIAO Ke-yan, LI Nan, WANG Kun, et al. Mineral resources assessment under the thought of big data[J]. Geologcal Bulletin OF China, 2015(7): 1266~1272. http://www.cnki.com.cn/Article/CJFDTOTAL-ZQYD201507003.htm
[26]	赵鹏大.大数据时代数字找矿与定量评价[J].地质通报, 2015(7):1255~1259. http://www.cnki.com.cn/Article/CJFDTOTAL-ZQYD201507001.htm ZHAO Peng-da. Digital mineral exploration and quantitative evaluation in the big data age[J]. Geologcal Bulletin of China, 2015(7): 1255~1259. http://www.cnki.com.cn/Article/CJFDTOTAL-ZQYD201507001.htm
[27]	阳正熙.西方国家的"成矿规律和成矿预测"的发展和现状[J].成都理工大学学报:自然科学版, 2000, (Z1):259~263. http://www.cnki.com.cn/Article/CJFDTOTAL-CDLG2000S1063.htm YANG Zheng-xi. Development and current state of metallogenetic regularities and predictions in western countries[J]. Journal of Chengdu University of Technology: Science and Technology Edition, 2000, (Z1): 259~263. http://www.cnki.com.cn/Article/CJFDTOTAL-CDLG2000S1063.htm
[28]	Caumon G, Ortiz J M, Rabeau O. A comparative study of three data-driven Mineral Potential Mapping techniques.2006, In: IAMG06.Belgium.
[29]	Fallara F, Legault M, Rabeau O. 3D integrated geological modeling in the Abitibi Subprovince (Quebec, Canada): Techniques and applications[J]. Exploration and Mining Geology, 2006, 15(1/2): 27~43.
[30]	Martin L, Perron G, Masson M. Discovery from 3D visualization and quantitative modelling[C]//Proceedings of Exploration 07: Fifth Decennial International Conference on Mineral Exploration. Toronto.
[31]	Malehmir A, Thunehed H, Tryggvason A. The Paleoproterozoic Kristineberg mining area, northern Sweden: Results from integrated 3D geophysical and geologic modeling, and implications for targeting ore deposits Geophysics, 2008, 74(1): 9~22.
[32]	Wang G, Zhang S, Yan C, et al. Mineral potential targeting and resource assessment based on 3D geological modeling in Luanchuan region[J]. China. Computers & Geociences, 2011, 37(12): 1976~1988. http://www.sciencedirect.com/science/article/pii/S0098300411001683
[33]	陈建平, 尚北川, 吕鹏, 等.云南个旧矿区某隐伏矿床大比例尺三维预测[J].地质科学, 2009, 44 (1):324~337. CHEN Jian-ping, SHANG Bei-chuan, LV Peng, et al. Three-dimensional prediction in big scales to a concealed ore bodies in Gejiu, Yunnan. Geological Science, 2009, 44 (1): 324~337.
[34]	陈建平, 董庆吉, 郝金华, 等.基于GIS的证据权重法青海"三江"北段斑岩型钼铜矿产资源成矿预测[J].岩石矿物学杂志, 2011, 30(3):519~529. http://www.cnki.com.cn/Article/CJFDTOTAL-YSKW201103016.htm CHEN Jian-ping, DONG Qing-ji, HAO Jin-hua, et al. Metallogenic prognosis of porphyry molybdenum-copper resources in northern Sanjiang region of Qinghai Province based on weight-of-evidence method and GIS[J]. 2011, 30(3): 519~529. http://www.cnki.com.cn/Article/CJFDTOTAL-YSKW201103016.htm
[35]	毛先成, 戴塔根, 吴湘滨, 等.危机矿山深边部隐伏矿体立体定量预测研究——以广西大厂锡多金属矿床为例[J].中国地质, 2009, 36(2): 424~435. http://www.cnki.com.cn/Article/CJFDTOTAL-DIZI200902017.htm MAO Xian-cheng, DAI Ta-gen, WU Xiang-bin, et al. The stereoscopic quantitative prediction of concealed ore bodies in the deep and marginal parts of crisis mines:a case study of the Dachang tin polymetallic ore deposit in Guangxi[J]. Geology in China, 2009, 36(2): 424~435. http://www.cnki.com.cn/Article/CJFDTOTAL-DIZI200902017.htm
[36]	毛先成, 邹艳红, 陈进, 等.危机矿山深部、边部隐伏矿体的三维可视化预测——以安徽铜陵凤凰山矿田为例[J].地质通报, 2010, 29(2/3):401~413. http://www.cnki.com.cn/Article/CJFDTOTAL-ZQYD2010Z1028.htm MAO Xian-cheng, ZOU Yan-hong, CHEN Jin, et al. Three-dimensional visual prediction of concealed ore bodies in the deep and marginal parts of crisis mines: a case study of the Fenghuangshan ore field in Tongling, Anhui, China[J]. Geological Bulletin of China, 2010, 29(2/3): 401~413. http://www.cnki.com.cn/Article/CJFDTOTAL-ZQYD2010Z1028.htm
[37]	徐善法, 陈建平, 叶继华.证据权法在三江北段铜金矿床成矿预测中的应用研究[J].地质与勘探, 2006, (2):54~59. http://www.cnki.com.cn/Article/CJFDTOTAL-DZKT200602011.htm XU Shan-fa, CHEN Jian-ping, YE Ji-hua. Application of evidence weight method in the copper-gold mineral resources prediction in the north section of the sanjiang region.[J]. Geology and prospecting, 2006, (2): 54~59. http://www.cnki.com.cn/Article/CJFDTOTAL-DZKT200602011.htm
[38]	陈刚, 姚仲友, 刘君安, 等.基于证据权法的伊尔岗地块金矿成矿预测[J].地质通报, 2014, 33(2/3):210~214. http://www.cnki.com.cn/Article/CJFDTOTAL-ZQYD2014Z1009.htm CHEN Gang, YAO Zhong-you, LIU Jun-an, et al. Prognosis of gold deposits in Yilgarn block based on weights of evidence[J].Geological Bulletin of China, 2014, 33(2/3): 210~214. http://www.cnki.com.cn/Article/CJFDTOTAL-ZQYD2014Z1009.htm
[39]	邵拥军, 贺辉, 张贻舟, 等.基于BP神经网络的湘西金矿成矿预测[J].中南大学学报:自然科学版, 2007, 38(6):1192~1198. http://www.cnki.com.cn/Article/CJFDTOTAL-GDKJ201310096.htm SHAO Yong-jun, HE Hui, ZHANG Yi-zhou, et al. Metallogenic prediction of Xiangxi gold deposit based on BP neural networks[J]. Central South University: Science and Technology, 2007, 38(6):1192~1198. http://www.cnki.com.cn/Article/CJFDTOTAL-GDKJ201310096.htm
[40]	孙祥, 杨子荣, 徐大地.基于模糊神经网络的义县萤石成矿预测[J].地质找矿论丛, 2008, (2):149~152. http://www.cnki.com.cn/Article/CJFDTOTAL-DZZK200802012.htm SUN Xiang, YANG Zi-rong, XU da-di. The fuzzy-neural network-based fluorite deposit prediction in yixian[J]. Contributions to Geology and Mineral Resources Research, 2008, (2):149~152. http://www.cnki.com.cn/Article/CJFDTOTAL-DZZK200802012.htm
[41]	商伟, 陈守余, 赵江南.秦岭地区铅锌矿床模糊逻辑法找矿远景区优选[J].地质找矿论丛, 2009, (1):47~50, 55. http://www.cnki.com.cn/Article/CJFDTOTAL-DZZK200901008.htm SHANG Wei, CHEN Shou-yu, ZHAO Jiang-nan. Potential areas for pb-zn deposit in qinling region optimized with the fuzzy logic method[J]. Contributions to Geology and Mineral Resources Research, 2009, (1): 47~50, 55. http://www.cnki.com.cn/Article/CJFDTOTAL-DZZK200901008.htm
[42]	邢学文, 胡光道.模糊逻辑法在秦岭-松潘成矿区金矿潜力预测中的应用[J].吉林大学学报:地球科学版, 2006, 36(2):298~304. http://www.cnki.com.cn/Article/CJFDTOTAL-CCDZ200602025.htm XING Xue-wen, HU Guang-dao. The Application of Fuzzy logic method gold deposit prediction in Qinling-Songpan area[J]. Journal of Jilin University: Earth Science Edition, 2006, 36(2): 298~304. http://www.cnki.com.cn/Article/CJFDTOTAL-CCDZ200602025.htm
[43]	王淑晴, 孙翠羽.基于Dempster-Shafer证据理论的矿山遥感分类[J].吉林师范大学学报:自然科学版, 2015, (2):139~142. http://www.cnki.com.cn/Article/CJFDTOTAL-SLXK201502034.htm WANG Shu-qing, SUN Cui-yu. Classification of mine remote sensing image based on the D-S theory[J]. Journal of Jilin Normal University: Natural Science Edition, 2015, (2): 139~142. http://www.cnki.com.cn/Article/CJFDTOTAL-SLXK201502034.htm

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