王明照, 龙平, 胡世丽, 王观石, 罗嗣海, 洪本根. 一种离子型稀土矿体渗透性空间分布的计算方法[J]. 有色金属科学与工程, 2023, 14(2): 280-287. DOI: 10.13264/j.cnki.ysjskx.2023.02.016
引用本文: 王明照, 龙平, 胡世丽, 王观石, 罗嗣海, 洪本根. 一种离子型稀土矿体渗透性空间分布的计算方法[J]. 有色金属科学与工程, 2023, 14(2): 280-287. DOI: 10.13264/j.cnki.ysjskx.2023.02.016
WANG Mingzhao, LONG Ping, HU Shili, WANG Guanshi, LUO Sihai, HONG Bengen. An estimation method for spatial permeability distribution of the ion-adsorption type rare earth ore body[J]. Nonferrous Metals Science and Engineering, 2023, 14(2): 280-287. DOI: 10.13264/j.cnki.ysjskx.2023.02.016
Citation: WANG Mingzhao, LONG Ping, HU Shili, WANG Guanshi, LUO Sihai, HONG Bengen. An estimation method for spatial permeability distribution of the ion-adsorption type rare earth ore body[J]. Nonferrous Metals Science and Engineering, 2023, 14(2): 280-287. DOI: 10.13264/j.cnki.ysjskx.2023.02.016

一种离子型稀土矿体渗透性空间分布的计算方法

An estimation method for spatial permeability distribution of the ion-adsorption type rare earth ore body

  • 摘要: 离子型稀土矿体的渗透性是浸矿剂消耗和稀土浸取率的重要影响因素,合理确定其空间分布成为开采设计的关键。对于大埋深矿体,现有的渗透系数确定方法均存在较大误差。本次选取某一离子型稀土矿体为研究对象,分析了不同颗粒级配、不同孔隙比的稀土矿(土)的渗透系数,结果表明d10、不均匀系数和孔隙比与渗透系数的对数均呈线性关系,各参数对斜率影响的变异系数均小于20.0%,说明这3个参数相互之间呈线性相关。建立了渗透系数的计算模型为:k=105.16e+240.97d10+9.72×10-3Cu-10.51。经与试验数据对比,整个矿体渗透系数估算值的平均相对误差为15.1%,相关系数为0.986,表明所建模型较为合理。结合普通克里金法,建立矿体渗透系数空间分布的计算方法,并分析变异函数对计算结果的影响。结果表明,球状模型精度较高,其计算结果的决定系数和变异函数的变程分别为0.931、30.03 m。本研究为离子型稀土矿体的精准开采设计提供技术支持。

     

    Abstract: Permeability of ion-adsorption rare earth ore body is an important factor in the consumption of leaching agent and leaching rate. Reasonable determination of its spatial distribution is the key to mining design. For deeply buried ore body, there are large errors in the existing determination methods of permeability coefficient. In this paper, a certain ion-adsorption rare earth ore body was selected as the research object, and the permeability coefficients of rare earth ore (soil) under different particle gradations and different void ratios were analyzed. The d10, uneven coefficient and void ratio were linear with the logarithm of permeability coefficient. The coefficient of variation of each parameter to slope was less than 20.0%, indicating that these three parameters were linearly correlated with each other. Then the calculation model of permeability coefficient was established, namely, k=105.16e+240.97d10+9.72×10-3Cu-10.51. Compared with the experimental data, the average relative error of the estimated permeability coefficient of the whole ore body was 15.1%, and the correlation coefficient was 0.986, indicating that the established model was reasonable. Combined with the ordinary Kriging method, the calculation method of spatial distribution of permeability coefficient of ore body was established, and the influence of variation function on the calculation results was analyzed. The results showed that the spherical model had the highest accuracy, and the determination coefficient and range of the variation function were 0.931 and 30.03 (m), respectively. This study provides technical support for the precise mining of ionic rare earth ore body.

     

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