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Extraction and Integration of Geoanomalies Associated with Mineralization

CHEN Yong-qing1,ZHAO Peng-da21.School of the Earth Sciences and Resources,China University of Geosciences,Beijing100083,China2.China University of Geosciences,Beijing100083,Wuhan430074,China  
The local and regional anomalies of mineral deposits from geology,geophysics,geochemistry as well as remote sensing image constitute a foundation for recognizing ore-forming regularities and estimating mineral potentials.Quantitatively integrated assessment of mineral resources usually includes three steps:(a) firstly,the extraction and integration of single discipline anomaly;(b) then,extraction and integration of multi-discipline anomalies;(c) finally,the integrated anomalies are used for indentifying ore-finding targets and assessing mineral potentials.In this paper,the basic concepts of extraction,connection,transform,and integration of the geoanomalies with mineralization from geology,geochemistry,and geophysics are elucidated.It emphasizes the significance of the bidirectional information transforms,that is,from characteristics of geoamomalous bodies to a spatial geoanomalous pattern,and from the pattern inferring the significance of a concrete geoanomalous body forming in the similar geological setting.It comes to the conclusions as follows:(a) the conceptual model of geoanomalies associated with mineralization is a foundation for selecting variables and establishing integrated mineral exploration pattern;(b) the nonlinear approach is a powerful tool to extract implicit mineralization information;(c) combination of the conceptual model of anomaly associated with mineralization with the mathematical model of the integrated mineral exploration is a key to discover new mineral deposits;(d) the process that integrated anomalies associated with mineralization are applied to modeling mineral potentials is one that gradually extracts and integrates mineralized information,and is also one that develops from spatial data,to spatial anomaly and to knowledge decision.
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