基于自然伽马测井数据的铀资源评价方法研究

“煤铀兼探”“油铀兼探”是当今的研究热点，利用煤、油气田钻井的测井资料评价铀资源潜力是尚待解决的难题。以鄂尔多斯盆地彭阳铀矿区为例，开展基于自然伽马测井数据的铀资源评价方法探索。根据彭阳铀矿区砂岩型铀储层自然伽马异常响应显著的特性，通过对比分析9个验证孔中定量伽马和油田钻孔中自然伽马测井数据，研究彭阳铀矿区矿层定量伽马值的自然伽马测井回归模型，研发矿层平米铀量筛选计算程序。初步建立基于自然伽马测井信息的区域铀矿层识别和品位评价方法，研究成果精度与实测数据吻合，解决了难以高效利用常规煤、油气田测井资料进行铀矿层识别和品位评价的问题。该成果可为鄂尔多斯盆地铀资源调查和潜力评价提供有效的技术支持。 

Preliminary investigation of uranium resource evaluation method based on natural gamma logging data:A case study of the Pengyang uranium deposit in Ordos Basin

“Coal and uranium exploration” and “oil and uranium exploration” are current research hotspots. Using logging data of coal and oilfield drilling to further evaluate uranium resources remains a difficult problem. Taking the Pengyang uranium deposit in the Ordos Basin as an example, this article explores the method of evaluating uranium resources based on natural gamma logging data. According to the remarkable features of the natural gamma anomaly response in the sandstone-type uranium reservoirs in the study area, the natural gamma logging regression model of the quantitative gamma logging value of the uranium deposit in the Pengyang area was studied by comparative analysis of the quantitative gamma logging data in nine verification holes and the natural gamma logging data in the oilfield boreholes, and a program for screening and calculating the amount of uranium per square meter of the deposit was developed. Such studies addressed the issue that it is difficult to efficiently use conventional oil and coal field logging data for uranium deposit identification and grade evaluation, and a regional uranium deposit identification and grade evaluation method based on natural gamma logging information has been preliminarily established. The accuracy of the results is consistent with the measured data, which can provide effective technical support for the investigation and potential evaluation of uranium resources in the Ordos Basin.