Abstract

AREVA Mines and the Nuclear Measurement Laboratory of CEA Cadarache are collaborating to improve the sensitivity and precision of uranium concentration measurement by means of gamma-ray logging. The determination of uranium concentration in boreholes is performed with the Natural Gamma Ray Sonde (NGRS) based on a NaI(Tl) scintillation detector. The total gamma count rate is converted into uranium concentration using a calibration coefficient measured in concrete blocks with known uranium concentration in the AREVA Mines calibration facility located in Bessines, France. Until now, to take into account gamma attenuation in a variety of boreholes diameters, tubing materials, diameters and thicknesses, filling fluid densities, and compositions, a semiempirical formula was used to correct the calibration coefficient measured in Bessines facility. In this paper, we propose to use Monte Carlo simulations to improve gamma attenuation corrections. To this purpose, the NGRS probe and the calibration measurements in the standard concrete blocks have been modeled with Monte Carlo N-Particles (MCNP) computer code. The calibration coefficient determined by simulation 5.3 $\text{s}^{-1}\cdot \text {ppm}_{U}^{-1}$ with 10% accuracy is in good agreement with the one measured in Bessines (and for which no uncertainty was provided), 5.2 $\text{s}^{-1}\cdot \text {ppm}_{U}^{-1}$ . The calculations indicate that the concrete blocks used for measuring the calibration coefficients measured in Bessines are underestimated by about 10%. Based on the validated MCNP model, several parametric studies have been performed. For instance, the rock density and chemical composition proved to have a limited impact on the calibration coefficient. However, gamma self-absorption in uranium leads to a nonlinear relationship between count rate and uranium concentration beyond approximately 1% of uranium weight fraction, the underestimation of the uranium content reaching more than a factor 2.5 for a 50% uranium weight fraction. Parametric studies have also been performed with different tubing materials, diameters, and thicknesses, as well as different borehole filling fluids representative of real measurement conditions, in view to validate gamma attenuation corrections based on the semiempirical formula. In addition, a multilinear analysis approach has been tested to further improve accuracy on uranium concentration determination, leading to only a few percent uncertainties on a large range of configurations.

Highlights

  • The detection of gamma rays emitted by 238U and its daughter nuclei is one of the reference method for detecting uranium in borehole

  • This paper reports numerical simulations performed with the MCNP code in view to improve the accuracy of uranium concentration determination in gross count gamma-ray logging

  • The MCNP Monte Carlo simulation code has been extensively used to model uranium gamma logging with a Natural Gamma Ray Sonde (NGRS) probe

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Summary

INTRODUCTION

The detection of gamma rays emitted by 238U and its daughter nuclei is one of the reference method for detecting uranium in borehole. One approach consists in inferring the uranium concentration in boreholes from the total count rate provided by scintillation counters such as NaI(Tl) detectors. This approach, known as gross count gamma-ray logging [1], requires a calibration coefficient which is usually measured in concrete blocks of well-defined composition with known uranium concentration. This paper reports numerical simulations performed with the MCNP code in view to improve the accuracy of uranium concentration determination in gross count gamma-ray logging

VALIDATION OF THE MCNP NUMERICAL MODEL
Gamma range seen by the NGRS probe
Influence of rock composition
Gamma self-absorption in uranium
Findings
CONCLUSION
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