[an error occurred while processing this directive] [an error occurred while processing this directive] [an error occurred while processing this directive]
[an error occurred while processing this directive]

Gold Science and Technology >

2019 , Vol. 27 >Issue 2: 172 - 180

DOI: https://doi.org/10.11872/j.issn.1005-2518.2019.02.172

Mineral Exploration and Resource Evaluation

Study on the Distribution of Mineral Grades Based on 3D Model：Taking Shaanxi Longtougou Gold Mine as an Example

  • Ming WEI , 1 ,
  • Bin ZHAO , 1 ,
  • Rui WANG 1 ,
  • Zhenxing PAN 1 ,
  • Liguo CAO 2
Expand
  • 1. Northwest Nonferrous Geological Mining Group Co. ，Ltd. ，Xi’an 710054，Shaanxi，China
  • 2. School of Geography and Tourism，Shaanxi Normal University，Xi’an 710062，Shaanxi，China

Received date: 2018-06-15

  Revised date: 2018-12-04

  Online published: 2019-04-30

Fold

Highlights

With the continuous integration development of computer technology，three-dimensional modeling technology and geostatistics，the study of geostatistical based on three-dimensional digital model of orebody can reveal the spatial distribution characteristics and mineralization distribution law of orebodies intuitively and accurately，and carry out reserves estimate and dynamic resource management，and effectively guide mineral exploration and development.Longtougou gold deposit discovered in Shaanxi Province is the first gold deposit discovered in the sandstone strata of the south Qinling orogenic belt.It belongs to tectonic altered rock type gold deposit.Based on the existing data，the orebody spatial distribution and mineralization distribution law is analyzed by means of variogram.The specific research process is as follows：Firstly，collect existing topographic survey data，trenching data，drilling sample analysis data and exploration tunnel engineering data，and build a project database with the three-dimensional mining software Micromine as a platform to form a three-dimensional digital model of prospecting engineering.Secondly，combined with geological laws to interpret the profiles，delineate three-dimensional digital model of mineralization domain，and analysis sample data in the mineralized domain model.Thirdly，the block model of mineralization domain is divided according to 7 m×2 m×3 m specification，and the number of sub-blocks is 2×4×3.Fourthly，the variogram fitting is performed on the combined samples in the mineralization domain to determine the variogram structure model and the three-axis direction range.Fifthly，according to the structural law of variation function，the grade of the block model is assigned，so that each block has the grade property of mineralization.The results show that the gold element has a distinct spatial structure，the ratio of strike angle，tendency，and thickness anisotropy are 7.44∶33.37∶1.00.Although the gold mineralization is continuous along the strike，it is mainly low-grade ore continuous，while the high-grade ore has poor continuity.The high-grade industrial orebody in the deep extensional direction is better in continuity than the trend direction，and the high grade mineralization develops，and opens in the east of strike direction.Therefore，the future prospecting should be extended along the eastern side of the orebody and carried out in the deep.The research on the distribution of deposit grade based on the three-dimensional mineralized domain model has certain guiding significance for the exploration and prediction of deposits.

Cite this article

Ming WEI , Bin ZHAO , Rui WANG , Zhenxing PAN , Liguo CAO . Study on the Distribution of Mineral Grades Based on 3D Model：Taking Shaanxi Longtougou Gold Mine as an Example[J]. Gold Science and Technology, 2019 , 27(2) : 172 -180 . DOI: 10.11872/j.issn.1005-2518.2019.02.172

[an error occurred while processing this directive]

References

Publishing order | Descend order by publishing year | Descend order by cited within
1
程红军，陈川，展新忠，等.隐伏矿床成矿预测理论与方法新进展［J］.地质与勘探，2017，53（3）：456-457.

Cheng Hongjun， Chen Chuan， Zhan Xinzhong，et al.New progress in the prediction theory and prospecting method for concealed deposits［J］.Geology and Exploration，2017，53（3）：456-457.

2
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，2005.

Fan Yongxiang， Yang Zhengxi.Metallogenatic Regularities and Prediction［M］.Xuzhou：China University of Mining and Technology Press，2005.

3
余璨，李峰，曾庆田，等.基于DIMINE软件的易门铜厂矿床Cu品位分布规律研究［J］.地质与勘探，2016，52（2）：376-377.

Yu Can， Li Feng， Zeng Qingtian，et al.A study on Cu-grade distribution of the Tongchang copper deposit in Yimen based on DIMINE software［J］.Geology and Exploration，2016，52（2）：376-377.

4
侯景儒.实用地质统计学［M］.北京：地质出版社，1992：1-3.

Hou Jingru.Practical Geostatistics［M］.Beijing：Geological Publishing House，1992：1-3.

5
侯景儒，黄竞先.地质统计学及其在矿产储量计算中的应用［M］.北京：地质出版社，1982：79-83.

Hou Jingru， Huang Jingxian.Geostatistics and Its Application in Calculation of Mineral Reserves［M］.Beijing：Geological Publishing House，1982：79-83.

6
Ai T H， Oosterom P V.A map generalization model based on algebra mapping transformation［C］// Proceedings of the 9th ACM International Symposium on Advances in Geographic Information Systems.New York：Association for Computing Machinery，2001：21-27.

7
Dowd P A.Integrated computer package for geostatistical estimation and modeling［J］.Institution of Mining and Metallurgy，1992(11)：67-89.

8
余海军，李文昌，尹光候，等.普朗铜矿床铜品位分布地质统计学研究［J］.地质与勘探，2009，45（4）：437-440.

Yu Haijun， Li Wenchang， Yin Guanghou，et al.Copper grade geostatistical study of Pulang copper［J］.Geology and Exploration，2009，45（4）：437-440.

9
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．

Mao Xiancheng， Dai Tagen， Wu Xiangbin，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.

10
陈建平，吕鹏，吴文，等. 基于三维可视化技术的隐伏矿体预测［J］.地学前缘，2007，14（5）：54-62．

Chen Jianping，Lü Peng， Wu Wen，et al.A 3D method for predicting blind orebodies，based on a 3D visualization model and its application［J］.Earth Science Frontiers，2007，14（5）：54-62.

11
陕西省地质矿产勘查开发局第十三地质队.板岩镇—中村幅1∶5万区域矿产调查报告［R］.商洛：陕西省地质矿产勘查开发局第十三地质队，1989.

No.13 Geological Team of Shaanxi Geology and Mineral Exploration Bureau.Banyan town-Zhongcun area 1∶50000 regional mineral survey report［R］.Shangluo：No.13 Geological Team of Shaanxi Geology and Mineral Exploration Bureau，1989.

12
胡西顺，原莲肖，朱红周，等.陕西龙头沟金矿床的地质地球化学特征及成因探讨［J］.黄金科学技术，2010，18（2）：1-3.

Hu Xishun， Yuan Lianxiao， Zhu Hongzhou，et al.Geological and geochemical characteristics and genesis of Longtougou gold deposit in Shaanxi Province［J］.Gold Science and Technology，2010，18（2）：1-3.

13
刘新伟，薛杉，汪超，等.陕西省山阳县龙头沟金矿地质特征及控矿因素［J］.云南冶金，2011，40（增）：97-101.

Liu Xinwei， Xue Shan， Wang Chao，et al.Geological characteristics and ore-controlling factors of Longtougou gold deposit in Shanyang County，Shaanxi Province［J］.Yunnan Metallurgy，2011，40（Supp.）：97-101.

14
胡西顺，朱红周，原莲肖，等.陕西省山阳县龙头沟金矿区详查地质报告［R］.西安：西北有色地质研究院，2008.

Hu Xishun， Zhu Hongzhou， Yuan Lianxiao，et al.Detailed geological report of Longtougou gold mining area， County Shanyang，Shaanxi Province［R］.Xi’an：Northwest Institute of Nonferrous Geology，2008.

15
孙洪泉. Micromine软件用户实用手册［G］.北京：Micromine北京国际软件公司，2012.

Sun Hongquan. Micromine Software User Manual［G］.Beijing：Micromine Beijing International Software Corporation，2012.

16
孙洪泉.地质统计学及其应用［M］.北京：中国矿业大学出版社，1990：56-65.

Sun Hongquan.Geostatistics and Applications［M］.Beijing：China University of Mining and Technology Press，1990：56-65.

17
Clay ton V， Deutsch Andre G，Journel.GS LIB Geo-statistical Software Library and User’s Guide［M］.Oxford：Oxford University Press，1998：43-49.

18
罗周全，刘晓明，吴亚斌，等.地质统计学在多金属矿床储量计算中的应用研究［J］.地质与勘探，2007，43（3）：82-86.

Luo Zhouquan， Liu Xiaoming， Wu Yabin，et al.Application of geostatistics in polymetallic deposit reserves calculation［J］.Geology and Exploration，2007，43（3）：82-86.

19
Lloyd C D， Atkinson P M.Assessing uncertainty in estimates with ordinary and indicator Kriging［J］.Computers and Geosciences，2001，27：929-937.

20
Cressie N.Block Kriging for lognormal spatial processes［J］.Mathematical Geology，2006，38（4）：413-443.

Options
Outlines

/

〈 〉

[an error occurred while processing this directive]