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2023 Vol. 44, No. 5
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XIAO Ke-yan, FAN Ming-jing, SUN Li, ZHU Yu-sheng, XU Yang. 2023. Theoretical Method of Integrated Geological Information Prediction of Metallogenic Series for Mineral Resource Potential Assessment. Acta Geoscientica Sinica, 44(5): 769-780. doi: 10.3975/cagsb.2023.011301
Citation: XIAO Ke-yan, FAN Ming-jing, SUN Li, ZHU Yu-sheng, XU Yang. 2023. Theoretical Method of Integrated Geological Information Prediction of Metallogenic Series for Mineral Resource Potential Assessment. Acta Geoscientica Sinica, 44(5): 769-780. doi: 10.3975/cagsb.2023.011301
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Theoretical Method of Integrated Geological Information Prediction of Metallogenic Series for Mineral Resource Potential Assessment

  • 1. Institute of Mineral Resources, Chinese Academy of Geological Sciences, Beijing 100037;

  • 2. China University of Geosciences (Wuhan), Wuhan, Hubei 430074;

  • 3. China University of Geosciences (Beijing), Beijing 100083

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  • Corresponding author: FAN Ming-jing  
Received Date:  22 October 2022
Revised Date:  29 December 2022
    Abstract
  • Mineral resources are essential to human survival and development. So far, 173 minerals have been discovered by Chinese scientists. During this period, a large number of geological data and scientific research achievements have been formed. In this paper, the theoretical and methodological of metallogenic series and integrated geological based on the National Potential Evaluation project were summarized and formed, which is based on the theory of metallogenic series, metallogenic analysis and comprehensive information mineral prediction. The main contents were created the regional comprehensive information mapping, the comprehensive information prediction model and the quantitative prediction of mineral resources. The main method process is to construct the geological spatial database, delineate the types and work areas of mine prediction, compile the thematic prediction base map and comprehensive information prediction element map, construct the comprehensive information prediction model, and carry out the positioning and quantitative prediction of mineral resources.Finally, a case of gold deposit metallogenic prediction in the Xiong’ershan area provides a reference for mineral resources prediction.
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