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考虑渗透系数不确定性的地浸过程溶浸范围随机模拟 被引量:4

Stochastic Simulation of Leaching Range in In-situ Leaching Process Considering Uncertainty of Permeability Coefficient
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摘要 数值模拟是确定地浸采铀过程中溶浸范围的重要方法,但由于含水层渗透性能分布的复杂性,数值模型难以完全刻画实际的渗透系数空间分布。为分析渗透系数不确定性对溶浸范围的影响,本文采用蒙特卡罗方法量化模拟结果的不确定性。模拟结果显示:当抽注井之间的区域渗透系数相对较小时,部分浸出剂将沿优先水流通道向抽注井外围的高渗透区域扩散。在模拟初期,渗透系数不确定性所导致的溶浸范围不确定性较小,随模拟时间的增加,溶浸范围不确定性呈线性上升,至模拟结束时,溶浸范围具有较大的不确定性,置信水平95%、85%、75%、65%对应的溶浸范围置信区间分别为34072.0~17699.8、31900.2~19871.6、30688.9~21082.8、29770.1~22001.7 m^(2)。以上所得研究结果可为地浸采铀过程中溶浸范围的确定提供参考。 Numerical simulation is an important method to determine the leaching range in the process of in-situ uranium mining,and the permeability coefficient is an important factor affecting the accurate calculation of leaching range by numerical simulation methods.However,the numerical model is difficult to completely describe the actual spatial distribution of permeability coefficients due to the complexity of the distribution of aquifer permeability.In order to analyze the influence of permeability coefficient uncertainty on leaching agent migration process and leaching range,according to the field condition test data of sandstone-type uranium deposits in Inner Mongolia,200 random fields of permeability coefficient in accordance with the specific distribution were obtained using the Python geostatistical software package GSTools.All permeability coefficient random fields were applied to solute transport simulation,and Monte Carlo method was used to convert the parameter uncertainty of permeability coefficient into the uncertainty of model results.The results of simulation under homogeneous and heterogeneous permeability conditions were compared.The leaching agent in homogeneous conditions could not migrate outward and the leaching range is a regular circular shape.The direction of leaching agent migration is affected by the regional permeability between pumping and injection wells under heterogeneous conditions of permeability coefficients.When the permeability coefficient of the region between the pumping and injection wells is relatively higher,the leaching agent migrates only to the pumping wells and not outward.Conversely,a part of the leaching agent would spread along the preferential flow channels to the high-permeability region outside the pumping and injection wells region,resulting in a non-regular shape of contamination plume.Based on the analysis of the actual geological conditions,the complexity of its spatial distribution is ignored when the permeability coefficient is extended to the average value,and the influence of the random distribution of the permeability coefficient should be considered in the model.However,the leaching range obtained from different permeability coefficient random fields has obvious differences,indicating that the uncertainty of permeability coefficient leads to the uncertainty of simulation results,which can be quantified and analyzed using relevant statistical methods.The results of the quantitative analysis show that influence of permeability coefficient uncertainty on the expansion rate of the leaching range is distinct at different time.At the initial stage of the simulation(1-20 d),the influence of the uncertainty in permeability coefficient is low,and the leaching range expanded rapidly at an average rate of 350 m^(2)/d.With the increasing of simulation time,the influence of permeability coefficient uncertainty is significant,and the expansion rate of leaching range is 18-54 m^(2)/d.The expansion rate decreases but the uncertainty of leaching range shows a linear increasing trend.At the end of the simulation,the distribution characteristics of leaching range of 200 groups are counted,and it is found that the leaching range is concentrated in 20000-30000 m^(2) with a high degree of uncertainty.When the confidence levels are 95%,85%,75%and 65%,the confidence intervals of the leaching range are 34072.0-17699.8,31900.2-19871.6,30688.9-21082.8 and 29770.1-22001.7 m^(2),respectively.The higher the confidence level,the larger the confidence interval of the leaching range,indicating the higher uncertainty,and different confidence levels can be selected to determine the dissolved leaching range according to the demand in practical applications.The research results obtained by considering the uncertainty of permeability coefficients above are suitable for actual situation,therefore the results can provide reference for the determination of leaching range in uranium mining by in-situ leaching.
作者 纪文贵 罗跃 刘金辉 李寻 李立尧 余东原 吴慧 JI Wengui;LUO Yue;LIU Jinhui;LI Xun;LI Liyao;YU Dongyuan;WU Hui(Key Laboratory of Nuclear Resource and Environment,East China University of Technology,Nanchang 330013,China;School of Water Resources and Environmental Engineering,East China University of Technology,Nanchang 330013,China)
出处 《原子能科学技术》 EI CAS CSCD 北大核心 2023年第6期1099-1110,共12页 Atomic Energy Science and Technology
基金 国家自然科学基金(42062017,U1967209,51764001,41761090)。
关键词 溶浸范围 渗透系数 随机模拟 不确定性分析 leaching range permeability coefficient stochastic simulation uncertainty analysis
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