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Theory and Method of Mineral Resource Prediction Based on Synthetic Information
作者姓名:WangShicheng  YeShuisheng  ZhouDongdai
作者单位:MineralResourcesInstituteofComprehensiveInformationPrediction,JilinUniversity,Changchun130026
基金项目:ThispaperissupportedbyfoundationprojectoftheLaboratoryofQuan titativeExplorationAssessmentofMineralResourcesofLandandRe sources,Wuhan,Hubei.
摘    要:Metallogenic prognosis of synthetic information uses the geological body and the miaeral resource body as a statistical unit to interpret synthetically the information of geology, geophysics, geo-chemistry and remote sensing from the evolution of geology and puts all the information into one entire system by drawing up digitalized interpretation maps of the synthetic information. On such basis, differ-ent grades and types of mineral resource prospecting models and predictive models of synthetic informa-tion can be established. Hence, a new integrated prediction system will be formed of metallogenic prog-nosis (qualitative prediction), mineral resources statistic prediction (determining targets) and mlaeral resources prediction (determining resources amount).

关 键 词:合成信息  矿床资源预报  金属矿床  概率统计

Theory and Method of Mineral Resource Prediction Based on Synthetic Information
WangShicheng YeShuisheng ZhouDongdai.Theory and Method of Mineral Resource Prediction Based on Synthetic Information[J].Journal of China University of Geosciences,2003,14(3):207-214.
Authors:Wang Shicheng  Ye Shuisheng  Zhou Dongdai
Abstract:Metallogenic prognosis of synthetic information uses the geological body and the mineral resource body as a statistical unit to interpret synthetically the information of geology, geophysics, geochemistry and remote sensing from the evolution of geology and puts all the information into one entire system by drawing up digitalized interpretation maps of the synthetic information. On such basis, different grades and types of mineral resource prospecting models and predictive models of synthetic information can be established. Hence, a new integrated prediction system will be formed of metallogenic prognosis (qualitative prediction), mineral resources statistic prediction (determining targets) and mineral resources prediction (determining resources amount).
Keywords:synthetic information  mineral resources prediction  theory and method
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