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The Research Of Jinduicheng Molybdenum Ores Distributed Disciplinarian Based On Geostatistics

Posted on:2011-08-07Degree:MasterType:Thesis
Country:ChinaCandidate:C YangFull Text:PDF
GTID:2120360305467064Subject:Mining engineering
Abstract/Summary:PDF Full Text Request
In order to find out the underground mineral location, shape and volume data in geological exploration geophysical and geochemical exploration in through, pitting engineering of 3d surface to obtain the basic information of the mineral resources, using traditional methods for the management of 3d exploration information and calculation of the ore grade is a time-consuming work, and it is hard to obtain the result with high precision. "Pure numerical", "black box", the type of traditional method for grade of the deposit, distribution of evaluation is uncontrolled. But if you put geological data into intuitive, it is easy to understand, and can be transformed to the graphical information, interactive analysis. The way it will provide resources evaluation, etc, use the complicated problem of mineral grade estimates will be solved. Based on this objective, 'The research of Jinduicheng Molybdenum Ores distributed disciplinarian based on Geostatistics'is to resolve according to geological exploration of ore body shape, drilling cores, etc to estimate the geological data for taste, and the deposits of ore grade statistics and regression analysis and taste the trend fitting.This paper firstly summarized the research background, significance of subject research present situation, and proposed in this paper. Then describes can be used to estimate the grade four methods, the evaluating the respective advantages of using optimal decision after represents the unbiased estimation method based on of Geostatistics Kriging interpolation method for the estimation method of ore deposits grade. Secondly, after the method of Jinduicheng molybdenum deposit immediately began to study, taste distribution of the main content is divided into four parts. The first part of the original borehole samples pretreatment and data analysis, calculates the regionalization of original sample mean drill grade, variance. After the calculated according to the sample mean and variance of three times, the principle to determine standard of high grade and high limit the generations, and the value calculated by the sample after treatment, high-grade mean and variance. Based on the combination of sample is immediately. After data pretreatment on the deposit, is based on geological analysis, statistical analysis of structural out of gold ore block, platform and regionalized variables of variation functions. The second part is to use the Kriging interpolation method of Jinduicheng molybdenum deposit for grade is estimated that determine the spatial distribution of the sample position and estimate near field. Write a program; valuations. And the result of valuations after the statistics is in accordance with the different directions. The third part is according to the valuation of the sample after grade and combination of the deposits are sample grade analysis:the distribution of grade of ore grade to the vertical direction and deep distribution regularity of direction. Calculate the level of quality and space position is the return of polynomial. After fitting out the variation is trend surface level grade. According to the above three parts are the results of Jinduicheng molybdenum deposit in overall evaluation:a confidence interval estimate for 90% of the ore grade mean and variance. On average, the original sample after treatment, the high grade mean reversion, samples, the grade of valuation on the average grade significant for 90% of hypothesis test, the mean of reliability. After the final statistical distribution grade sample valuations, the frequency of ore amount of industrial index proportion.This research contents is for estimating deposits, economic value of mine production scale and provides the reliable, etc.
Keywords/Search Tags:Ores distributed, Geostatistics, Statistics analysis, Regression fit, Overall assessment
PDF Full Text Request
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