砂岩型铀矿土壤光释光特性及测量流程优化

OSL Characteristics of Sandstone-type Uranium Deposits Soil and Optimization of Measurement Process

  • 摘要: 砂岩型铀矿作为我国主要的铀矿类型,对于埋深较大的矿体,部分传统勘探方法难以满足深部找矿需求。针对砂岩型铀矿土壤光释光勘查中存在的土壤预处理流程复杂、隐伏铀矿体弱异常信息的分辨能力不足两大关键问题,本文通过实验开展了以下研究:首先明确土壤光释光(OSL)信号分布以及对应的矿物来源,再依据不同预处理阶段土壤稳定OSL信号的释光强度,筛选适用于土壤OSL测量的土壤释光矿物,并同步优化土壤OSL测量流程。结果表明:1) 不同预处理阶段,土壤OSL信号主要来源为石英与长石矿物100~300 ℃内的热释光(TL)信号,仅少部分来自于碳酸岩矿物,且有机质会显著降低土壤的释光强度;2) 土壤OSL信号强度随预处理阶段呈先增加后降低的变化趋势,其中仅包含石英长石混合矿物的土壤OSL信号强度最大,可作为该勘查方法的最优测量对象,以提升对深部铀矿体弱异常信息的分辨能力。基于上述结果简化土壤的预处理流程,并将优化后的砂岩型铀矿勘查的土壤OSL测量流程应用于内蒙古某砂岩型铀矿勘查区。结果显示,与土壤瞬时氡和地面γ能谱测量相比,该优化方法仅需进行简单的数据处理即可圈定勘查剖面的有利成矿区。本文可为砂岩型铀矿土壤OSL勘查方法在深部找矿中的推广应用提供关键技术参考。

     

    Abstract: Sandstone-type uranium deposits are recognized as the main type for uranium exploration and mining in China, owing to their large reserves and ease of extraction. However, some of the sandstone-type uranium deposits are covered by thick overburden layers and buried at relatively great depths, which make the conventional methods difficult to obtain effective measurement results. In this context, soil thermoluminescence (TL) and optically stimulated luminescence (OSL) measurement methods, which both belong to the category of cumulative radon measurement, have shown good applicability in sandstone-type uranium exploration, because these methods have the advantages of long accumulation time of uranium ore body radiation information and low interference from environmental factors. Nevertheless, there are two limitations in the soil OSL measurement process: The first is the relatively complex soil chemical treatment procedure, which is difficult to satisfy the requirements for the large number of samples in uranium exploration; The second is the relatively low radiation response of quartz, which causes the OSL measurement to be insufficient in identifying weak anomaly information, and is unable to satisfy the precision requirements of exploration. In order to resolve these limitations, this study conducted a series of experiment to address the above issues. Accordingly, the distribution characteristics of the soil OSL signal and its corresponding mineral sources were firstly analyzed. Subsequently, the minerals for the OSL signal measurement were selected based on the intensity of the stable OSL signal under different soil chemical treatment procedures, and the measurement process was optimized. The experimental results indicate that the main source of soil OSL signals under different soil chemical treatment procedures is the 100-300 ℃ TL signal from quartz and feldspar minerals, with carbonate rocks contributing only a minor portion of the OSL signal. Furthermore, organic matter within the soil can reduce the intensity of OSL signal. The soil OSL signal intensity increases initially and then decreases under different soil chemical treatment stages. The soil OSL signal intensity is highest when the soil contains only quartz and feldspar. Therefore, the identification capability of weak anomaly information in the sandstone-type uranium deposits can be enhanced by selecting quartz-feldspar admixture minerals as measurement samples. Based on the above results, the optimized method was applied to the exploration of a certain sandstone-type uranium deposit in Inner Mongolia after simplifying the soil pretreatment processes. The results show that, compared with the measurements of soil instantaneous radon and ground γ-ray spectrum, only simple data processing is required by the optimized method to delineate the favorable metallogenic zones along the exploration profile. This study can provide crucial technical references for the application of the soil OSL exploration method in the deep exploration of sandstone-type uranium deposits.

     

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