Application And Research Of Comprehensive Radioactive Exploration In Western Exploration Of Lujing Uranium Ore Field

With the depletion of shallow uranium resources,the current focus of exploration has shifted from shallow uranium exploration to deep and concealed uranium detection.However,deep uranium deposits are buried deep and have thick cover layers,and the ore-forming information that can be detected on the surface is relatively weak,which urgently requires breakthroughs in the depth of exploration methods and data processing technology.Ground gamma-ray spectrometry,soil ²¹⁰Po measurement,soil thermoluminescence measurement,and geogas measurement were carried out in the western part of the Lujing uranium deposit,and these methods can detect underground uranium ore information from shallow to deep.This paper uses traditional statistical methods,trend surface analysis methods,and content-area methods to extract the lower limit of anomalies from various radioactive data in the study area,delineating the abnormal distribution range of each radioactive data,and comparing the three anomaly extraction methods.The results show that the trend surface analysis method has the most ideal effect in extracting weak anomalies.Then,the concept of data fusion is introduced,and the principal component analysis method and fuzzy signal-to-noise ratio method are used to comprehensively process multi-source radioactive data.The processing results use the trend surface analysis method to extract anomaly information and predict the deep uranium mineralization prospect area.Through field data collection and indoor data processing and interpretation,the following conclusions are drawn:（1）Based on characteristic parameters of energy spectrum such as ancient uranium content and thorium-uranium ratio,we inferred that the F1 main fault and its secondary fissures provided migration channels for hydrothermal flow.The contact zone of lithological strata provided favorable conditions for uranium mineralization enrichment.Uranium underwent secondary migration and enrichment in later stages,which was caused by the hydrothermal migration of uranium-rich magma and the alteration effect that occurred at the contact surface of tectonic faults and lithological strata.（2）Different anomaly recognition methods have their own limitations and cannot be applied to all data.To address this issue,it is advisable to employ multiple anomaly recognition methods.Research has shown that trend surface analysis is more effective in identifying anomalies and extracting information compared to traditional statistical methods and content-area methods.（3）Through the comprehensive processing of radioactive data using the principal component analysis method and fuzzy signal-to-noise ratio method,it was found that the results of the fuzzy signal-to-noise ratio method are more accurate in processing the comprehensive radioactive data,and there is no large-scale high-value anomaly,and the abnormal distribution is more reasonable.（4）We delimited three prospective areas of deep uranium mineralization through a series of processing of radiometric data from the western part of the Lujing uranium mining field:the first area is located in the southeast of Lihuakai,the second area is located in the south of Longtou,and the third area is located at the southwestern edge of the research area.