杜菊民, 祖辅平, 景永波, 陈诚, 陈峰, 蔡卫东. 澳大利亚某金矿矿化域模型资源量估算及参数优化[J]. 中国矿业, 2022, 31(5): 181-188. DOI: 10.12075/j.issn.1004-4051.2022.05.011
    引用本文: 杜菊民, 祖辅平, 景永波, 陈诚, 陈峰, 蔡卫东. 澳大利亚某金矿矿化域模型资源量估算及参数优化[J]. 中国矿业, 2022, 31(5): 181-188. DOI: 10.12075/j.issn.1004-4051.2022.05.011
    DU Jumin, ZU Fuping, JING Yongbo, CHEN Cheng, CHEN Feng, CAI Weidong. Resource estimation and parameter optimization based on mineralized domain model of a gold mine in Australia[J]. CHINA MINING MAGAZINE, 2022, 31(5): 181-188. DOI: 10.12075/j.issn.1004-4051.2022.05.011
    Citation: DU Jumin, ZU Fuping, JING Yongbo, CHEN Cheng, CHEN Feng, CAI Weidong. Resource estimation and parameter optimization based on mineralized domain model of a gold mine in Australia[J]. CHINA MINING MAGAZINE, 2022, 31(5): 181-188. DOI: 10.12075/j.issn.1004-4051.2022.05.011

    澳大利亚某金矿矿化域模型资源量估算及参数优化

    Resource estimation and parameter optimization based on mineralized domain model of a gold mine in Australia

    • 摘要: 基于三维建模技术及地质统计学进行矿体资源量估算已得到了普遍认可,而其中各类参数的优化选择是进行合理估算的关键。本文在系统整理澳大利亚某金矿的地形、地质、钻孔编录及分析测试等数据的基础上,根据矿岩界线呈过渡关系的特征,提出采用矿化域估算理论进行资源量估算。首先,建立钻孔数据库,对原始样品进行基本统计,确定矿化域品位边界值;其次,根据矿化域品位边界值,建立矿化域实体模型与块体模型,提取矿化域内样品点,进行特异值处理及合理性检验;再次,对特异值处理后的样品点进行等长组合,通过地质统计方法,调整不同主轴搜索半径,交叉验证优选最佳变异函数;最后,选择合适的搜索椭球体、样品数目等参数,采用普通克里格法进行资源量估算。全局验证结果显示,块体估值品位与样品点平均品位曲线形态近于一致,说明估值结果可靠。采用矿化域模型进行资源量估算,结果合理可靠,同时在工业指标论证、矿体特征分析、成矿预测等方面具有一定优势。

       

      Abstract: The estimation of ore body resources based on 3D modeling technology and geostatistics has been generally accepted, and the optimal selection of various parameters is the key to reasonable estimation.Based on the systematically analyze of topography, geology, borehole catalogue and testing data of a gold mine in Australia, and according to the transitional relationship between the ore-rock boundaries, this paper proposes to use the mineralized domain estimation theory for resource estimation.Firstly, to establish the drilling database, to conduct basic statistics on the original samples, and to determine the grade boundary value of the mineralized domain.Secondly, according to the grade boundary value of the mineralized domain, to establish the entity model and block model of the mineralized domain, and to extract the sample points in the mineralized domain, to carry out outlier processing and rationality test.Thirdly, to make equal-length combination of sample points after outlier processing, to adjust the search radius of different main axes through geostatistical method, and to optimize the best variogram through cross-validation.Finally, to select the appropriate parameters such as search ellipse sphere, number of samples, et al, and Kriging method is used for resource estimation.The overall verification results show that the estimated grade of the block is nearly identical to the average grade curve of the sample point, indicating that the estimated result is reliable.The mineralized domain model is used for resource estimation, and the results are reasonable and reliable.At the same time, it has certain advantages in industrial index demonstration, ore body characteristic analysis, and metallogenic prediction.

       

    /

    返回文章
    返回