Stochastic modeling of in-situ sandstone-type uranium leaching in response to uncertain and heterogeneous hydraulic conductivity

CHEN Mengdi; JIANG Zhenjiao; HUO Chenchen

doi:10.16030/j.cnki.issn.1000-3665.202112039

Volume 50 Issue 2

Mar. 2023

Turn off MathJax

Article Contents

Article Navigation > Hydrogeology & Engineering Geology > 2023 > 50(2): 63-72

CHEN Mengdi, JIANG Zhenjiao, HUO Chenchen. Stochastic modeling of in-situ sandstone-type uranium leaching in response to uncertain and heterogeneous hydraulic conductivity[J]. Hydrogeology & Engineering Geology, 2023, 50(2): 63-72 doi: 10.16030/j.cnki.issn.1000-3665.202112039

Citation:

PDF( 4844 KB)

Stochastic modeling of in-situ sandstone-type uranium leaching in response to uncertain and heterogeneous hydraulic conductivity

doi: 10.16030/j.cnki.issn.1000-3665.202112039

1.
Key Laboratory of Groundwater Resources and Environment of the Ministry of Education, Jilin University, Changchun, Jilin　130021, China
2.
China Nuclear Mining Science and Technology Corporation, CNNC, Beijing　101149, China

Received Date: 2021-12-20
Rev Recd Date: 2022-02-24

Available Online: 2023-02-15

Publish Date: 2023-03-15

Abstract

Abstract

Hydraulic conductivity in sandstone-type uranium-bearing formations is of high heterogeneity. However, restricted by the means of test and analysis, it is difficult to accurately describe the heterogeneous coefficient of permeability, which results in the deviation in the prediction of in-situ leaching uranium mining process and limits the fine control of in-situ leaching uranium mining process. To solve this problem, a random characterization method of heterogeneous parameter distribution of an ore bed is proposed in this paper. On this basis, water salt coupling numerical random simulation is carried out to reveal the internal migration process and influence range of leaching agent reservoir caused by pumping and injection of multiple wells under the conditions of different spatial distribution of coefficient of permeability. The application results in a uranium deposit in Inner Mongolia show that the coefficient of permeability increases along the direction of regional groundwater flow, which is conducive to the evacuation of the injected leaching agent. On the contrary, the leaching agent is prone to the aggregation effect. After identifying and verifying the boundary conditions of the model with groundwater level monitoring data, the diffusion rate of the solution is 210 m²/d under the assumption of homogeneity, and the diffusion area of the 20-year mining cycle is 1.53 km². Considering the heterogeneity of the ore bed and the uncertainty of parameters, the expansion rate of the leaching agent area is predicted to be 191−228 m²/d, and the diffusion area of the leaching agent is 1.47−1.74 km². Compared with the assumption of homogenization, the uncertainty of the diffusion rate and diffusion area of the leaching agent is 17.62% and 17.65%. Considering the heterogeneity and uncertainty of coefficient of permeability, the prediction results of leaching agent migration and transformation behavior are more representative, which provides a more reliable reference for the design of in-situ leaching uranium mining scheme and the development of sandstone type uranium resources.
- sandstone-type uranium deposit,
- in-situ leaching,
- hydraulic conductivity,
- heterogeneity,
- uncertainty,
- solute transport

FullText(HTML)

References(32)

References

[1]	田力. 碳中和视角下的核能贡献[J]. 能源,2021(5):30 − 33. [TIAN Li. Nuclear energy contribution from the perspective of carbon neutralization[J]. Energy,2021(5):30 − 33. (in Chinese)
[2]	SHEN Nao,LI Jun,GUO Yongfan,et al. Thermodynamic modeling of in situ leaching of sandstone-type uranium minerals[J]. Journal of Chemical & Engineering Data,2020,65(4):2017 − 2031.
[3]	梁卫国,赵阳升,徐素国,等. 原位溶浸采矿理论研究[J]. 太原理工大学学报,2012,43(3):382 − 387. [LIANG Weiguo,ZHAO Yangsheng,XU Suguo,et al. Theoretical study of in situ solution mining[J]. Journal of Taiyuan University of Technology,2012,43(3):382 − 387. (in Chinese with English abstract) doi: 10.3969/j.issn.1007-9432.2012.03.030
[4]	STALLMAN R W. Numerical analysis of regional water levels to define aquifer hydrology[J]. Transactions,American Geophysical Union,1956,37(4):451. doi: 10.1029/TR037i004p00451
[5]	陈小月,黄健民,卢薇. 基于FEFLOW的广州金沙洲地区地下水流场数值模拟研究[J]. 地下水,2014,36(4):4 − 7. [CHEN Xiaoyue,HUANG Jianmin,LU Wei. Numcrical simulation study of groundwater flow based on FEFLOW software in Jinshazhou of Guangdong Province[J]. Ground Water,2014,36(4):4 − 7. (in Chinese with English abstract) doi: 10.3969/j.issn.1004-1184.2014.04.002
[6]	张淼,潘杰,刘生财,等. 基于FEFLOW的地下水污染数值模拟及预测—以宁波某印染厂为例[J]. 绍兴文理学院学报(自然科学),2017,37(1):21 − 27. [ZHANG Miao,PAN Jie,LIU Shengcai,et al. Numerical simulation and prediction of groundwater pollution based on FEFLOW:An illustrative study of a printing and dyeing factory in Ningbo[J]. Journal of Shaoxing University (Natural Science),2017,37(1):21 − 27. (in Chinese with English abstract)
[7]	常云霞. 地浸采铀井场溶浸范围的地下水动力学控制模拟研究[D]. 衡阳: 南华大学, 2020 CHANG Yunxia. Simulation study on groundwater dynamics control of leaching range of in-situ uranium well field[D]. Hengyang: University of South China, 2020. （in Chinese with English abstract）
[8]	YANG Jie,TAO Yuezan,REN Weixin,et al. Numerical simulation of groundwater contaminant transport in unsaturated flow[J]. Water Supply,2020,20(8):3730 − 3738. doi: 10.2166/ws.2020.136
[9]	邱文杰,刘正邦,杨蕴,等. 砂岩型铀矿CO₂+O₂地浸采铀的反应运移数值模拟[J]. 中国科学:技术科学,2022,52(4):627 − 638. [QIU Wenjie,LIU Zhengbang,YANG Yun,et al. Reactive transport numerical modeling of CO₂+O₂ in-situ leaching in sandstone-type uranium ore[J]. Scientia Sinica (Technologica),2022,52(4):627 − 638. (in Chinese with English abstract)
[10]	YANG Yun,QIU Wenjie,LIU Zhengbang,et al. Quantifying the impact of mineralogical heterogeneity on reactive transport modeling of CO₂ + O₂ in situ leaching of uranium[J]. Acta Geochimica,2022,41(1):50 − 63. doi: 10.1007/s11631-021-00502-1
[11]	王泽江,邵磊昌,李秦,等. 地下铀矿开采方法的数值模拟技术研究[J]. 铀矿冶,2017,36(2):73 − 80. [WANG Zejiang,SHAO Leichang,LI Qin,et al. Study on numerical modeling technology for underground mining method[J]. Uranium Mining and Metallurgy,2017,36(2):73 − 80. (in Chinese with English abstract)
[12]	刘玲,陈坚,牛浩博,等. 基于FEFLOW的三维土壤-地下水耦合铬污染数值模拟研究[J]. 水文地质工程地质,2022,49(1):164 − 174. [LIU Ling,CHEN Jian,NIU Haobo,et al. Numerical simulation of three-dimensional soil-groundwater coupled chromium contamination based on FEFLOW[J]. Hydrogeology & Engineering Geology,2022,49(1):164 − 174. (in Chinese with English abstract)
[13]	孙启明,高茂生,党显璋. 垃圾填埋场渗滤液变密度地下水溶质运移模拟[J]. 吉林大学学报(地球科学版),2022,52(4):1265 − 1274. [SUN Qiming,GAO Maosheng,DANG Xianzhang. Simulation of solute transport in variable-density groundwater for landfill leachate[J]. Journal of Jilin University (Earth Science Edition),2022,52(4):1265 − 1274. (in Chinese with English abstract)
[14]	李春光,谭凯旋. 地浸采铀地下水中放射性污染物迁移的模拟[J]. 南华大学学报(自然科学版),2011,25(3):25 − 30. [LI Chunguang,TAN Kaixuan. Modeling the migration of radioactive contaminants in groundwater of in situ leaching uranium mine[J]. Journal of University of South China (Science and Technology),2011,25(3):25 − 30. (in Chinese with English abstract) doi: 10.3969/j.issn.1673-0062.2011.03.006
[15]	周义朋, 沈照理, 孙占学, 等. 某砂岩型铀矿地浸采铀试验溶浸液化学组分运移模拟[J]. 中国矿业, 2012, 21（增刊1）: 298 − 300 ZHOU Yipeng, SHEN Zhaoli, SUN Zhanxue, et al. The simulation of leaching solution chemical components transportation during the in situ leaching uranium mining experiment in a sandstone-type uranium deposit[J]. China Mining Magazine, 2012, 21（Sup 1）: 298 − 300. （in Chinese with English abstract）
[16]	苏振兴,高文生,杜风雷,等. 成层土中污染物迁移数值模拟及参数敏感性分析[J]. 地质灾害与环境保护,2020,31(4):53 − 62. [SU Zhenxing,GAO Wensheng,DU Fenglei,et al. Numerical simulation and parameter sensitivity analysis of pollutant migration in stratified soil[J]. Journal of Geological Hazards and Environment Preservation,2020,31(4):53 − 62. (in Chinese with English abstract)
[17]	黄群英. 某砂岩铀矿酸法地浸溶质运移与酸化进程分析[J]. 有色金属(冶炼部分),2015(6):50 − 54. [HUANG Qunying. Analysis of solute transportation and acidification process during in-situ acid leaching of sandstone uranium ore[J]. Nonferrous Metals (Extractive Metallurgy),2015(6):50 − 54. (in Chinese with English abstract)
[18]	汪润超,李寻,罗跃,等. 基于数值模拟分析赤铁矿对地浸采铀的影响[J]. 有色金属(冶炼部分),2021(8):87 − 93. [WANG Runchao,LI Xun,LUO Yue,et al. Influence of hematite on in-situ leaching of uranium based on numerical simulation[J]. Nonferrous Metals (Extractive Metallurgy),2021(8):87 − 93. (in Chinese with English abstract)
[19]	汪润超,李寻,罗跃,等. 基于TOUGHREACT模拟分析黄铁矿对酸法地浸采铀的影响[J]. 有色金属工程,2021,11(8):39 − 50. [WANG Runchao,LI Xun,LUO Yue,et al. Influence of pyrite on acid in-situ leaching of uranium based on TOUGHREACT simulation[J]. Nonferrous Metals Engineering,2021,11(8):39 − 50. (in Chinese with English abstract)
[20]	乔海明,徐高中,张复新,等. 层间氧化带砂岩型铀成矿过程中铁的地球化学行为—以新疆吐哈盆地十红滩铀矿床为例[J]. 沉积学报,2013,31(3):461 − 467. [QIAO Haiming,XU Gaozhong,ZHANG Fuxin,et al. Study on iron geochemical behavior in the interlayer oxidation zone sandstone-type uranium metallogenetic process:A case from Shihongtan uranium deposit in the Turpan-Hami Basin of Xinjiang[J]. Acta Sedimentologica Sinica,2013,31(3):461 − 467. (in Chinese with English abstract)
[21]	孙冰,陈世团,周庆来,等. 原地浸出采铀过程中浸出率影响因素分析[J]. 现代矿业,2020,36(8):89 − 93. [SUN Bing,CHEN Shituan,ZHOU Qinglai,et al. Analysis of factors affecting leaching rate in situ leaching of uranium[J]. Modern Mining,2020,36(8):89 − 93. (in Chinese with English abstract)
[22]	ZHAO Lixin,LI Po. Relationship between chamosite alteration and Fe-plugging in sandstone pores during acid in situ leaching of uranium[J]. Minerals,2021,11(5):497. doi: 10.3390/min11050497
[23]	吉宏斌,黄群英,周义朋,等. 抽注流量分配及抽注比对地浸溶液扩散的影响[J]. 铀矿冶,2017,36(3):172 − 181. [JI Hongbin,HUANG Qunying,ZHOU Yipeng,et al. Influence of in-situ leaching solution diffusion with drawing injection flux distribution and drawing injection proportion[J]. Uranium Mining and Metallurgy,2017,36(3):172 − 181. (in Chinese with English abstract)
[24]	李梦姣, 连国玺, 曹凤波, 等. 非均一抽注技术在地浸地下水环境保护中的应用[J]. 铀矿冶, 2017, 36（增刊1）: 98−104 LI Mengjiao, LIAN Guoxi, CAO Fengbo, et al. Study on application of non-uniform drawing and injection flow technology in groundwater protection during in-situ leaching of uranium[J]. Uranium Mining and Metallurgy, 2017, 36（Sup 1）: 98−104. （in Chinese with English abstract）
[25]	周义朋,黎广荣,徐玲玲,等. 地浸采铀钻孔过滤器对溶液渗流影响的数值模拟[J]. 东华理工大学学报(自然科学版),2018,41(4):301 − 306. [ZHOU Yipeng,LI Guangrong,XU Lingling,et al. Numerical simulation of influence of drilling filter on solution seepage during in-situ leaching of uranium[J]. Journal of East China University of Technology (Natural Science),2018,41(4):301 − 306. (in Chinese with English abstract)
[26]	陈帅,姜振蛟,霍晨琛. 某铀矿地浸开采条件下的导水系数计算与分析[J]. 铀矿冶,2021,40(2):108 − 115. [CHEN Shuai,JIANG Zhenjiao,HUO Chenchen. Calculation and analysis of hydraulic conductivity in in-situ leaching uranium mine[J]. Uranium Mining and Metallurgy,2021,40(2):108 − 115. (in Chinese with English abstract)
[27]	聂庆林,高广东,轩华山,等. 抽水试验确定承压含水层参数方法探讨[J]. 水文地质工程地质,2009,36(4):37 − 40. [NIE Qinglin,GAO Guangdong,XUAN Huashan,et al. Methods of determining parameters of a confined aquifer with pumping tests[J]. Hydrogeology & Engineering Geology,2009,36(4):37 − 40. (in Chinese with English abstract)
[28]	CRESSIE N A C. Statistics for Spatial Data[M]. New York: John Wiley & Sons Inc, 1991.
[29]	宋述芳,吕震宙,王燕萍. 问题驱动和思维引导下的《正态分布》教学设计[J]. 高等数学研究,2019,22(4):86 − 90. [SONG Shufang,LV Zhenzhou,WANG Yanping. On problem-driven and thought-guided teaching design of normal distribution[J]. Studies in College Mathematics,2019,22(4):86 − 90. (in Chinese with English abstract)
[30]	张仁铎. 空间变异理论及应用[M]. 北京: 科学出版社, 2005 ZHANG Renduo. Spatial variation theory and its application[M]. Beijing: Science Press, 2005. （in Chinese with English abstract）
[31]	邱伯驺, 李景功, 潘杰. 关于用拉格朗日乘数法求条件极值的充分条件[J]. 工科数学, 1993, 9（增刊2）: 26 − 31 QIU Bozou, LI Jinggong, PAN Jie. Sufficient conditions for finding conditional extremum by Lagrange multiplier method[J]. College Mathematics, 1993, 9（Sup 2）: 26 − 31. （in Chinese）
[32]	陈秋锦. 地下水模拟计算机软件系统—FEFLOW[J]. 中国水利,2003(18):25 − 26. [CHEN Qiujin. A groundwater simulation computer software: FEFLOW[J]. China Water Resources,2003(18):25 − 26. (in Chinese)