铀赋存形态对砂岩型矿床地浸开采的影响

    Influence of Uranium Chemical Fractions on In-Situ Leaching of Uranium From Sandstone Deposits

    • 摘要: 为研究铀赋存形态对地浸开采的影响,采用逐级提取法分离新疆某砂岩铀矿同一采区不同地段样品的铀赋存形态,测定其中的铀品位。结合室内浸出实验以及现场监测实验,探究了铀赋存形态与浸出动力学和浸出过程的关系。结果表明:相同采区不同地段的铀矿赋存形态存在差异,铀的浸出动力学受到F1—F4四种铀赋存形态的影响,首先由内扩散控制,然后转变为化学反应控制,铀表观浸出速率常数随着F1—F4相态铀质量分数提高而增大。浸出液铀浓度变化特征可以根据F1相态的质量分数分为两类:当F1质量分数高于25%时,铀浓度由高到低变化;当F1质量分数低于10%时,铀浓度表现为低→高→低的变化趋势。最后建立了铀初始浓度与F1品位、铀浓度峰值与F1—F4总品位之间的关系模型。研究结果可为依据铀赋存形态分地段选择溶浸剂种类和应用时间,并对铀地浸过程预测提供理论支持。

       

      Abstract: In order to study the influence of uranium chemical fraction on the in-situ leaching mining, the uranium chemical fractions of different samples from the same mining area of a sandstone uranium mine in Xinjiang were separated by step-by-step extraction method, and the uranium grades were determined. Combined with indoor leaching experiment and on-site monitoring experiment, the relationship between uranium chemical fraction and leaching kinetic as well as leaching process was explored. The results show that there are differences in the chemical fractions of uranium deposits in different sections of the same mining area. The leaching kinetics of uranium is affected by four fractions (F1-F4) in the form of internal diffusion controlling firstly and then chemical reaction. Moreover, the apparent rate constant of uranium leaching increases with the percentage of F1-F4. The uranium concentrations in the pregnant solutions depend on the percentage of F1. The uranium concentration increases with uranium grade when the percentage of F1 is higher than 25%. The uranium concentrations increase firstly and then decrease with uranium grade when the percentage of F1 is less than 10%. Finally, the relationship models between initial concentration and the grade of F1, and the uranium peak concentration and the total grade of F1-F4, time of the uranium peak concentration were established respectively. Based on the uranium chemical fraction, the results can provide support for the selecting of leaching agent, the determination of application time and the prediction of uranium in-situ leaching process.

       

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