基于统计分析法的罗河铁矿床储量估算研究

发布时间：2018-08-09 20:03

【摘要】：在矿床的普查、详查、勘探以及矿山设计和开采的各个阶段,矿产资源的储量估算都扮演着十分重要的角色,可以说,资源储量的估算工作贯穿着矿山的整个生命周期。当前,随着地学领域的三维可视化的快速发展,将三维地质建模技术与统计分析方法相结合,更为精确的刻画矿体形态和元素分布特征,并依此进行矿产资源的三维储量估算已成为当前的研究热点。统计分析方法包含多种估算方法和模型,采用不同方法进行储量估算具有不同的特点和结果。同时,变异函数是统计分析储量估算方法的重要工具,可用于量化分析元素的空间变异性特征;变异函数的相关参数对于储量估算结果具有重要影响,但相关研究却较为薄弱。因此,本文以庐枞盆地罗河铁矿床为实例对象,详细研究了变异函数相关参数对储量估算结果的影响,并进一步对比研究了多种三维统计分析储量估算方法的估算结果和影响因素。通过对罗河铁矿床三个铁矿体的空间变异结构分析和变异函数研究,本文取得如下结论:(1)变异函数易受到滞后距、数据分布和块金值的共同影响:(1)滞后距取值增大会提高变异函数平稳性,但会掩盖微观变异信息;(2)非正态分布数据经过正态变换后,更容易获得稳定的实验变异函数曲线,利于理论变异函数拟合;(3)提高块金值会扩大已知数据的影响范围,增大参与估值的已知数据构形,减小估计方差,同时降低数据的真实变异程度。(2)相对于其他三维统计分析储量估算方法,利用三维对数克立格法进行罗河玢岩型矿床的储量估算,变异函数最稳健,估算结果克立格方差最小,具有相对更好的储量估算精度和结果。
[Abstract]:The estimation of the reserves of mineral resources plays a very important role in all stages of the survey, investigation, exploration and mine design and mining. It can be said that the estimation of resource reserves runs through the whole life cycle of the mine. At present, with the rapid development of the three dimensional visualization in the field of geology, the 3D geological modeling technology is used. The method of statistical analysis is more accurate to describe the shape of ore body and the distribution characteristics of elements, and the estimation of the three dimensional reserves of mineral resources has become a hot spot of research. The statistical analysis method contains a variety of estimation methods and models, and the different methods have different characteristics and results. Number is an important tool for statistical analysis of reserves estimation methods, which can be used to quantify the spatial variability of elements. The related parameters of the variation function have an important influence on the results of reserves estimation, but the related research is relatively weak. Therefore, this paper takes the Luohe iron deposit in the Lujiang Fong basin as an example, and studies the correlation of variation function in detail. The effect of parameters on the results of reserves estimation, and further comparative study of the estimation results and influencing factors of a variety of three dimensional statistical analysis of reserves estimation methods. Through the analysis of the spatial variation structure and variation function of the three iron orebodies of Luohe iron deposit, the following conclusions are obtained: (1) the variation function is easily subject to the lag distance, the data distribution and the data distribution The common influence of the block gold value: (1) the increase of the lag distance will increase the stability of the variation function, but will cover up the microvariation information; (2) after the normal transformation, it is easier to obtain the stable curve of the experimental variation function, which is beneficial to the fitting of the theoretical variation function; (3) the increase of the value of the block gold will enlarge the range of the influence of the known data, and increase the range of the known data. The known data structure that participates in the estimation, reduces the estimated variance and reduces the true variation of the data. (2) compared with the other three dimensional statistical analysis of reserves estimation methods, the three dimensional log Kriging method is used to estimate the reserves of the ropeieric ore deposit, and the variation function is the most robust, and the estimated Kriging variance is the least, and is relatively better. The accuracy and results of reserves estimation.
【学位授予单位】：合肥工业大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：P624.7;P618.31

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