Radon anomaly characteristics in the soil and uranium metallogenic prediction in Xianlaga depression of Erlian Basin
Erlian Basin is important sandstone-type uranium deposits in Northern China.Many medium-scale and large-scale uranium deposits have been found in the periphery and adjacent areas of Xianlaga depression,indicating favorable uranium prospecting potential.The authors conducted measurement of radon in the soil and its daughters for obtaining the information of weak(uranium)mineralization on the surface of the depression,The a-nomaly data were analyzed and compared with of the known radon anomaly measurement model of the uranium de-posits in Erlian Basin,and the drilling verification was carried out.Three anomaly areas of radon and its daugh-ters were delineated in the working area based on soil radon gas measurement.Combined with the known anomaly models of uranium deposits,drilling holes were deployed in M1 anomaly high value area to verify the superiority.Multistage oxidation alteration was found in the sandstone of the Lower Saihan Formation in ZKX-1 borehole,and it was consistent with the prediction of the anomaly model,indicating favorable uranium prospecting potential.It is considered that the M1 anomaly area is caused by the strong development of phreatic interlayer or interlayer oxidation,and uranium mineralization enrichment may exist in the low halo or background value area of radon concentration on both sides of the high value area,which is worthy of further exploration.The M2 and M3 anoma-ly areas may be related to phreatic oxidation,and the intensity of the anomaly is controlled by the porosity and permeability of the oxidized sand body.The Y3 uranium prospective area between the M2 and M3 anomaly areas are favorable prospecting areas.This research shows that the depression has good uranium metallogenic potential and cound provide references for the further uranium prospecting.
measurement of radon in the soilanomaly modelsandstone-type uranium depositsuranium met-allogenic predictionErlian Basin
万方数据
维普
