In the geological exploration of in-situ leachable sandstone type uranium deposits, the original equilibrium state of radium and radon in the ore body is disrupted, resulting in the low uranium content in the ore layer obtained from γ logging interpretation, which affects the accuracy of uranium resource estimation. By constructing geophysical parameter holes, the uranium content interpreted by γ logging is corrected for the radium radon equilibrium coefficient. Taking the observation data of geophysical parameter holes during the reconnaissance phase of the Manglai uranium deposit in the Erlian Basin as an example, multiple γ logging observations were conducted on the disrupted ore sections in the parameter holes, and corresponding radium and radon observation curves were drawn. The results of radium radon balance coefficients calculated using the average method and fitting method were compared and analyzed. The results show that the relative errors of the calculated values obtained by the two calculation methods are within ±3%, and the results calculated using the fitting method are smaller than those calculated using the average method. Using the fitting method is beneficial for reducing the possibility of estimating leakage. By establishing an appropriate mathematical nonlinear regression model and running programming language based on MATLAB software, curve fitting of observed data is achieved, and a mathematical fitting formula that can calculate the limit is obtained. The curve obtained by the fitting method is more consistent with the recovery situation after the destruction of the radium radon balance in theory, and the radon saturation observation value obtained is unique and determined, effectively avoiding the uncontrollable error caused by the fluctuation of the observation data. The calculated radium radon balance coefficient is more scientific and accurate. The research results provide an objective and reliable correction coefficient for the accurate estimation of the uranium resource reserves of the deposit, and also provide guidance for predicting the production capacity of uranium mines.

Manglai uranium deposit  /  geophysical parameter hole  /  radium radon equilibrium coefficient  /  curve fitting  /  γ logging