基于放射性地球物理的深部砂岩型铀矿化信息提取技术

发布时间：2018-06-02 07:11

本文选题：土壤氡浓度 + 氡衬度　；参考：《地球物理学进展》2016年02期

【摘要】：为了构建深部砂岩型铀矿化信息提取技术,本文论述了基于放射性地球物理方法提取深部铀矿化信息的理论基础,采用氡异常二维栅格衬度、分形滤波、氡与计算氡比值等方法对我国二连盆地及准噶尔盆地实测土壤氡浓度数据进行了处理,同时,应用证据权重法,集成地质、土壤氡、车载伽马全谱、航空伽马能谱等成矿有利信息图层,开展了多元信息定量化提取技术应用研究,通过数据处理,表层信息得到了有效压制,排除了氡异常的漂移或假异常,处理后的异常信息与矿体在地表的垂直投影及控矿构造正相关,为我国北方深部砂岩型铀矿找矿工作提供了技术支撑.
[Abstract]:In order to construct the information extraction technology of deep sandstone type uranium mineralization, this paper discusses the theoretical basis of extracting deep uranium mineralization information based on radioactive geophysical method. The radon anomaly two-dimensional raster contrast and fractal filtering are used in this paper. The radon concentration data measured in Erlian basin and Junggar basin of China were processed by radon and radon ratio calculation methods. At the same time, the method of evidence weight was used to integrate geology, soil radon and vehicle gamma spectrum. The applied research on quantitative extraction of multivariate information has been carried out in the layer of ore-forming favorable information such as aviation gamma spectrum. Through data processing, the surface information has been effectively suppressed, and the drift or false anomaly of radon anomaly has been eliminated. The abnormal information after processing is positively related to the vertical projection of orebodies on the surface and ore-controlling structures, which provides technical support for the prospecting of deep sandstone-type uranium deposits in northern China.
【作者单位】：核工业北京地质研究院;
【分类号】：P631.6;P619.14

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