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Geochemical Modeling And Evaluation Of The Potential Copper Resource Of The Northern Section In The Greater Khingan Mountains Metallogenic Belt

Posted on:2017-04-22Degree:DoctorType:Dissertation
Country:ChinaCandidate:H M DaiFull Text:PDF
GTID:1220330482983931Subject:Institute of Geochemistry
Abstract/Summary:PDF Full Text Request
In this paper, the geochemical maps of the northern section of the Greater Khingan Mountains metallogenic belt were updated based on the 1999 regional geochemical data, the major regional distribution characteristics of ore-forming elements were studied, at the same time, re-delimited the geochemical area, contrasted with the method delineated geochemical anomalies by the raw data geological background. On the basis of collecting the geological and geochemical data of typical copper deposits, the prospecting model and resource estimate have been studied.The phenomenon that content contour often circles the subregion in geochemical map that sresult of the data for different years, different sampling units and different experimental test units, using a comparative study of the application effects that revise the systematic error of the regional geochemical data, the result shows that the traditional methods couldn’t be applied to revising the systematic error between the analytical data of several different sections. the geochemical background systematic error correction method is put forward and got a good result. To eliminate the contour distortion or "bull’s-eye point" existing in the geochemical map of the outlier data points, this paper used different data grid interpolation methods and parameter models. The results show that the kriging, radial basis function, modified shepard’s method, minimum curvature and moving average method can’t eliminate the phenomenon. The geochemical contour map and cross validation results with demonstrate various grid algorithm programming demonstrate that the distance exponential reverse weighted method is the most ideal method,and choosing to sampling spacing as the grid spacing, 2.5 times the grid spacing as the search radius and distance power exponent can eliminate the contour distortion or "bull’s-eye point" phenomenon. According the element composition and regional distribution, the northern section of the Greater Khingan Mountains metallogenic belt is divided into four geochemical zones and five geochemical anomaly zones. Comparative geochemical parameters of the four geochemical zones, the main element has the relative highest geochemical background and the maximum coefficient to other geochemical zones, and the mineralization environment was analysed. The abnormality characterized by a combination of elements and geological background contrasted, the combination of typical elements of different genetic types of copper deposit were summaried: the typical combination elements of terrestrial volcanic hydrothermal copper deposit are Cu-Au-As-Sb and Cu-W-Sn-Mo; typical combination elements of skarn copper deposit is Cu-Pb-Zn-Au-Ag-Sb-Bi; mafic rocks copper deposit characterized by Cu-Ni-Cr-Co; porphyry copper deposit feature combinations of elements is Cu-Au-Mo-Zn-Pb; marine volcanic type is characterized by a combination of elements of Cu-Zn-Pb-Au-Ag-as-Cd-Hg. Method of area productivity to prospecting resource estimate of ore-prospecting targetby Huma area based on The Duobaoshan porphyry copper(molybdenum)deposits, Proven contrast, the copper resource quantity of the Ⅲ grade mineralization belt in the northern part of the Greater Khingan Mountains metallogenic belt was further estimated, and the copper resource quantity was 7.617 million tons.
Keywords/Search Tags:the Greater Khingan Mountains metallogenic belt, Geological-geochemical model, Resources forecast
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