Multielement optimizing control method for prospecting ore deposit

Abstract

The present invention relates to ore deposit prospecting method and is especially one multielement optimized control method of prospecting ore deposit. The optimized method finds out the abnormal theoretical value characteristic of the ore-forming elements and spatial distribution rules based on the analysis and test of all elements in samples from the prospected area to reach the aim of prospecting ore deposit. The specific steps includes field operation and laboratory analysis and test, including clustering analysis, target grouping analysis, dendrogram drawing, ore-controlling element optimization, regression equation establishment for ore-forming elements and ore-controlling element, ore-forming element theoretical value calculation, drawing, etc.

Description

technical field [0001] The invention relates to an ore prospecting method; in particular, it relates to a multi-element optimization set control method for ore prospecting. Background technique [0002] The traditional geochemical prospecting methods of ore deposits include primary halo geochemical prospecting, secondary halo geochemical prospecting, hydrogeological chemical prospecting, heavy sand measurement, genetic mineralogy prospecting, etc., all of which can obtain the spatial distribution of single element content in an instant The ore prospecting prediction is carried out according to the law or the distribution law of a single mineral or mineral habit in space. Due to the influence of internal and external geological effects and human activities after the formation of ore deposits, the geochemical halo of ore deposits is often destroyed, or there are superimposed elements, which directly affect the effect of ore prospecting. Sometimes duri...

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Problems solved by technology

Sometimes, although the correlation coefficients of some elements and ore-forming elements are small, the correlation coefficients of other elements that are closely related to ore-forming elements are large. Obviously, these elements are also very closely related to ore-forming processes. However, in the traditional In cluster analysis, these elements that are closely related to mineralization are often ignored, which directly affects the ore prospecting effect.

The regression analysis method is the best method to obtain the quantitative relationship between the ore-forming elements and the ore-controlling elements, but in the traditional regression analysis method, the surrounding elements are not screened, but all the obtained elements are involved in the regression In the calculation, it is obvious that: (1) the calculation workload of regression analysis is very large; (2) it is very important that the statistical quantity of the significance test of the regression equation is reduced, that is, the regression effect is reduced, that is, the relationship between the ore-seeking elements and the ore-controlling elements The correlation has decreased, obviously this directly affects the effect of prospecting and exploration

Even if the stepwise regression analysis method can be used to screen the elements closely related to the prospecting elements, the calculation is cumbersome and the calculation workload is huge; (3) In the traditional regression analysis, in order to eliminate the influence of different element values ​​on the regression calculation, often Before the regression calculation, all the values ​​involved in the regression calculation were normalized, so that when the regression equation was finally used to calculate the regression value of the ore-forming elements, the obtained regression values ​​of the ore-forming elements were still normalized values, blurring the The authenticity of the regression value of ore-forming elements obviously also reduces the effect of ore prospecting

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