张海涛, 张通, 李旭, 贺江辉, 杨鑫, 何玉鹏, 邵则凡. 基于COMSOL-PHREEQC的CO2+O2地浸采铀反应运移数值模拟[J]. 煤炭学报, 2023, 48(S2): 680-690. DOI: 10.13225/j.cnki.jccs.2022.1462
引用本文: 张海涛, 张通, 李旭, 贺江辉, 杨鑫, 何玉鹏, 邵则凡. 基于COMSOL-PHREEQC的CO2+O2地浸采铀反应运移数值模拟[J]. 煤炭学报, 2023, 48(S2): 680-690. DOI: 10.13225/j.cnki.jccs.2022.1462
ZHANG Haitao, ZHANG Tong, LI Xu, HE Jianghui, YANG Xin, HE Yupeng, SHAO Zefan. Reactive transport numericalmodeling of CO2+O2 in-situ leaching based on COMSOL-PHREEQC[J]. Journal of China Coal Society, 2023, 48(S2): 680-690. DOI: 10.13225/j.cnki.jccs.2022.1462
Citation: ZHANG Haitao, ZHANG Tong, LI Xu, HE Jianghui, YANG Xin, HE Yupeng, SHAO Zefan. Reactive transport numericalmodeling of CO2+O2 in-situ leaching based on COMSOL-PHREEQC[J]. Journal of China Coal Society, 2023, 48(S2): 680-690. DOI: 10.13225/j.cnki.jccs.2022.1462

基于COMSOL-PHREEQC的CO2+O2地浸采铀反应运移数值模拟

Reactive transport numericalmodeling of CO2+O2 in-situ leaching based on COMSOL-PHREEQC

  • 摘要: 铀资源是的世界上重要的战略资源,如何安全高效开发利用铀资源,对保障国家能源供应和国家战略安全意义重大。CO2+O2地浸采铀是砂岩型铀矿采冶的主要方式,研究CO2+O2溶浸过程中水动力场和化学场的耦合机制是预测地浸采铀过程中铀动态浸出的关键核心。以内蒙古某煤铀共存矿床为对象,通过COMSOL构建地浸过程中溶质运移的对流与弥散模型,通过PHREEQC构建砂岩型铀矿CO2+O2溶浸过程的热力学数据库,利用iCP平台(Interface COMSOL-PHREEQC)建立COMSOL-PHREEQC耦合框架的CO2+O2地浸采铀的反应运移数值模型,模拟了CO2+O2地浸过程中铀矿动态浸出过程。同时,基于参数敏感性分析定量比较了不同参数对铀浸出效果影响的重要性程度。研究结果表明,本模型能够模拟预测CO2+O2溶浸过程中铀的反应运移过程。模拟结果发现CO2+O2地浸采铀过程中,抽、注液孔周围水动力强,溶浸液与铀矿物发生强烈的化学反应,形成高浓度的铀区;在水动力作用弱的地方,溶浸液不能及时到达,形成低浓度铀区。浸出铀的运移过程主要受对流和弥散作用控制。浸出铀可以通过下部煤层采动裂缝进入采煤工作面和采空区内,影响煤矿安全开采活动。参数敏感性分析结果揭示抽液流量、CO2和O2体积分数是铀浸出率的关键控制因素,而铀的浸出率与地层渗透率、地下水流速之间并不是呈单调的递增关系。研究结果对砂岩型铀矿CO2+O2地浸开采具有一定的指导作用。

     

    Abstract: Uranium resource is important strategic resource in the world. How to develop and utilize coal-uranium resources safely and efficiently is of great significance for ensuring national energy supply and national strategic security.The CO2+O2 in-situ leaching of uranium is the main way of mining and smelting sandstone-type uranium mines. Studying the coupling mechanism of hydrodynamic field and chemical field during the CO2 + O2 leaching process is the key to predicting the dynamic leaching of uranium in the process of CO2+O2 in-situ leaching. In this study, a coaluranium coexisting deposit in Inner Mongolia is taken as the object, the convection and dispersion model of solute migration in the in-situ leaching process is constructed by COMSOL, and the thermodynamic database of the CO2+O2 dissolution process of sandstone-type uranium ore is constructed by PHREEQC. Using the iCP platform (Interface COMSOL-PHREEQC), a numerical model of the reaction and migration of CO2 +O2 in-situ leaching of uranium in the COMSOL-PHREEQC coupling framework is established, and the dynamic leaching process of uranium ore during CO2+O2 in-situ leaching is simulated. Meanwhile, the importance of different parameters on the uranium leaching effect is quantitatively compared based on parameter sensitivity analysis. The results show that this model can simulate and predict the reaction and migration of uranium in the process of CO2+O2 leaching. The simulation results show that in the process of in-situ leaching of uranium with CO2+O2, the hydrodynamic force around the pumping and injection wells is strong, and the leaching solution has a strong chemical reaction with uranium minerals, forming a high concentration uranium area, while in the place with weak hydrodynamic action, the leaching solution cannot reach in time, forming low concentration uranium areas. The migration process of leached uranium is mainly controlled by convection and dispersion. The leached uranium can enter the working face and goaf through the mining fractures in the lower coal seam, affecting the safe mining activities of the coal mine. The results of parameter sensitivity analysis reveal that the extraction flow rate, CO2, and O2 concentration are the key control factors of the uranium leaching rate, while the uranium leaching rate is not monotonously increasing with formation permeability and groundwater flow rate. The research results have a certain guiding role in the CO2+O2 in-situ leaching mining of sandstone-type uranium deposits.

     

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