Resource quantity estimation method based on mixed overall screening

Abstract

According to the method, a mixed total screening result is used as a basis for determining an indicated grade threshold value, a fractal method is used for carrying out mixed total screening, an indicated grade interval of MIK is determined according to curve inflection point coordinates, and the goodness of fit 0.95 is used as a basis for determining a fractal interval, so that specific values are eliminated, and finally a grade domain for resource quantity estimation is determined. In addition, when the indication grade domain is finally determined, the fractal mixing overall screening result is improved, the economic boundary grade threshold value is increased, and a corresponding indication variation function model and subsequent MIK estimation are constructed. According to the method, a traditional ten-bit method is improved and optimized on the basis of mixed overall screening, and the reliable method which can reflect the statistical distribution characteristics of samples and indicate geological significance, is simple, efficient and easy to operate and is used for determining the indication grade threshold value is created and is used for MIK resource quantity estimation.

Description

technical field [0001] The invention relates to the field of geological technology, in particular to a method for estimating resources based on mixed general screening. Background technique [0002] Resource reserve estimation is generally carried out in a specific mineralized domain, and the data in the domain are required to have geological and statistical consistency. However, geological mineralization often goes through multiple stages and stages, so the mineralization grade distribution is often characterized by a mixed population, which intuitively presents a multi-peak distribution on the frequency histogram, or appears as a curve on the probability map. If the multiple populations of mineralization distribution cannot be completely separated in space and specific estimation domains cannot be divided, then the Multiple Indicator Kriging (MIK) method can be considered for resource estimation. [0003] MIK is a non-parametric geostatistical method, which does not need ...

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Problems solved by technology

[0014] The MIK estimation based on the decile method generally has very high accuracy, but there are also obvious deficiencies. The problems include: (1) time-consuming, each group of indicator variation functions needs to be fitted with one nugget value and three There are 4 variograms in the axial direction. According to 10 groups, a total of 40 variograms need to be fitted, which is time-consuming and labor-intensive; (2) Affected by the number of samples, due to the small grouping, some intervals may have small sample data, resulting in The fitting parameters are distorted, affecting the final valuation; (3) lack of geological significance, the 10 groups are only statistical, without clear physical meaning, it is difficult to reveal the geological significance behind the grade distribution

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