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Geoscience ›› 2014, Vol. 28 ›› Issue (4): 743-750.

• Petrology and Study of Ore Deposits • Previous Articles     Next Articles

The 3D Prediction Model and Division of Targets in Jiaojia Gold Ore Belt, Shandong Province

SHI Rui1,2,3,CHEN Jian-ping1,3,LIU Han-dong4,WANG Qiao-yun4   

  1. (1.School of Earth Sciences and Resources, China University of Geosciences, Beijing100083,China;
    2.Institute of Geology,Chinese Academy of Geological Sciences, Beijing100037,China;
    3.Institute of Land Resources and High Techniques, China University of Geosciences, Beijing100083, China;
    4.Institute of Geological Survey, Shandong Province, Jinan, Shandong250013, China)
  • Online:2014-09-10 Published:2014-09-12

Abstract:

In order to realize the sustainable exploitation of the resources in Jiaojia gold concentration belt in Shandong Province, deep prospecting work is imminent. Starting from understanding of the local geological background, geological data, mineral data, geophysical exploration data and geochemical exploration data of the study area are comprehensively collected. Combined with the previous research on the metallogenic theory, this paper has analysed and summed up some favorable geological conditions for ore-formation and ore-controlling. As a case study of Jiaojia gold concentration belt and combined with the geophysical and geochemical data in this area, this paper has established comprehensive information prospecting model and deduced the deep mineralization space with the cubic predicting model and the appropriate geostatistical method. Finally, the 3D positioning, quantitative, and statistical prediction is achieved. The result indicates that forecast areas deep gold resources in the Jiaojia gold concentration belt is 842.88 t which suggests it has convincing potential for gold development and utilization. More importantly, it delineated 7 undeveloped predicted targets for deep prospecting and made further prospecting suggestions combining with the engineering model, which provided a scientific basis for prospecting exploration.

Key words: Jiaojia, Shandong, information quantity, cubic predicting model, quantitative analysis of structure, prospect area

CLC Number: