基于块体模型的潘家田铁矿储量估算研究

发布时间：2018-07-10 11:08

本文选题：铁矿石 + 三维地质建模　；参考：《成都理工大学》2015年硕士论文

【摘要】：铁矿石是人类发现最早且应用最为广泛的一种金属矿产资源。我国铁矿资源的特点:贫矿多,富矿少,伴生矿产多,矿石组成成分较复杂,这给铁矿的勘探和开采造成了一定的困难。和发达国家相比,我国铁矿的开发利用程度较低,致使我国铁矿大量依靠进口,继而成为最大的铁矿石进口国家。所以从技术上来讲,急需先进的技术和手段,来实现铁矿资源的进一步高效开发与可持续利用。矿产勘查开发的主要任务之一就是对矿产资源进行储量估算,准确预测矿产储量是制订矿产勘查、开发计划与生产管理的主要依据,这将不仅提高矿产勘查工作效率,而且还会减少矿产开发成本和风险,实现更好的经济和社会效益。传统储量估算方法只适用某些特定矿床和特定形态的矿体,基于二维平面图和剖面图的地质信息表达不够准确、过程繁琐、估算精度不高、信息更新较慢[5]等缺点不断在储量估算工作中突显出来,随着地矿工作信息化的迅速发展,三维可视化技术和矿业软件在矿业中的不断应用,储量估算工作实现了进一步优化和改进,基于三维技术的储量计算成为今后工作的主要研究方向。全程的计算机辅助化、智能化,将提高储量估算的工作效率与准确性。论文首先对研究区的14个剖面,71个钻孔数据进行处理分析,采用混合建模法构建铁矿的实体模型。首先,运用基于多轮廓线通过Kriging插值算法进行块体空块模型建立,然后用矿体表面模型对块体模型进行边界约束处理,边界处理后的块体模型共有6780个块体单元;通过品位数据的统计分析,我们对每个块体进行品位插值,建立块体品位模型,通过统计每个块体内部铁矿资源量计算出整个矿体的铁矿资源储量。最后与传统的垂直断面法储量估算结果进行对比分析,验证了基于三维可视化的Kriging储量估算方法的科学性、实用性,这将对潘家田矿区的进一步勘探与开发具有重要的实际意义和指导意义。
[Abstract]:Iron ore is one of the earliest and most widely used metallic mineral resources. The characteristics of iron ore resources in China are as follows: more poor ore, less rich ore, more associated mineral resources and more complex ore composition, which makes the exploration and mining of iron ore difficult. Compared with the developed countries, the development and utilization of iron ore in our country is relatively low, which makes our country rely heavily on the import of iron ore, and then become the largest iron ore importing country. Therefore, the advanced technology and means are urgently needed to realize the further efficient development and sustainable utilization of iron ore resources. One of the main tasks of mineral exploration and development is to estimate the reserves of mineral resources. Accurate prediction of mineral reserves is the main basis for drawing up mineral exploration, development plan and production management, which will not only improve the efficiency of mineral exploration. It will also reduce the cost and risk of mineral development and achieve better economic and social benefits. The traditional reserve estimation method is only suitable for some specific ore deposits and specific ore bodies. The representation of geological information based on two-dimensional plane map and section map is not accurate enough, the process is tedious, and the estimation accuracy is not high. The shortcomings such as slow updating of information [5] are constantly highlighted in the work of reserve estimation. With the rapid development of information for geological and mineral work, 3D visualization technology and mining software are continuously applied in mining industry. Further optimization and improvement have been achieved in the estimation of reserves, and the calculation of reserves based on 3D technology has become the main research direction in the future. The whole process of computer aided and intelligent will improve the efficiency and accuracy of reserve estimation. Firstly, 14 sections and 71 borehole data in the study area were processed and analyzed, and the solid model of iron ore was constructed by hybrid modeling method. Firstly, the block empty block model is built by using Kriging interpolation algorithm based on multi-contour lines, and then the block model is treated with boundary constraints by using the orebody surface model. There are 6780 block units in the block model after boundary treatment. Through the statistical analysis of the grade data, we interpolate the grade of each block, establish a block grade model, and calculate the iron ore resource reserves of the whole ore body by statistics of the iron ore resources in each block. Finally, compared with the traditional vertical section method, the results show that the Kriging reserve estimation method based on 3D visualization is scientific and practical. This will have important practical and guiding significance for the further exploration and development of Panjiada mining area.
【学位授予单位】：成都理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：P618.31

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