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  • ISSN 1005-2518 
  • Founded in 1988
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Application of Energy-field,Matter-field and Information-field Synthetic Metallogenic Prediction:A Case Study in Dayaoshan Mine Area,Guangxi Province

  • TANG Xiaochun ,
  • ZHANG Shanming ,
  • ZHANG Zhiguo ,
  • ZHANG Hua ,
  • FAN Lixin ,
  • YAN Liaowei
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  • 1.Beijing Ximeng Resources Prospecting Co.,Ltd.,Beijing   100012,China;
    2.China University of Geosciences (Beijing),Beijing   100083,China;
    3.The Eighth Branch,Inner Mongolia Bureau of Geology and Mineral Resources Exploration and Development,Wuhai   016000,Inner Mongolia,China

Received date: 2015-06-28

  Revised date: 2015-08-23

  Online published: 2016-05-30

Abstract

In order to organize the abundance information on synthetic metallogenic prediction more scientifically,improve the reliability of metallogenic prediction,lower the investment risk in mineral exploration,in this study,we took the ore-forming system as the frame and metallogenic prediction as the clue,summarized different influencing factors in ore-forming and metallogenic prediction,and combined these influencing factors with the term of matter field,energy field and information field.Based on analysis of the constitution,construction and property of each field,we introduced the synthetic metallogenic prediction model.Then,the developed model was utilized to multi-metal-barite ore for metallogenic prediction in western part of Dayaoshan mine in Guangxi Province,and we assessed and analyzed the results of synthetic prediction model.In the present work,we linked matter and energy in the metallogenic system with information in metallogenic prediction and mentioned the concept of field,which could be helpful and important for metallogenic prediction in the future.

Cite this article

TANG Xiaochun , ZHANG Shanming , ZHANG Zhiguo , ZHANG Hua , FAN Lixin , YAN Liaowei . Application of Energy-field,Matter-field and Information-field Synthetic Metallogenic Prediction:A Case Study in Dayaoshan Mine Area,Guangxi Province[J]. Gold Science and Technology, 2016 , 24(2) : 59 -66 . DOI: 10.11872/j.issn.1005-2518.2016.02.059

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