Quantitative conversion factor for uranium ore based on natural γ energy spectrum logging multi-characteristic peak combination

A technology of conversion coefficient and gamma energy spectrum, which is applied in the direction of measuring devices, geophysical measurement, nuclear radiation exploration, etc., can solve the problem of being unable to distinguish the total amount of nuclides and their respective contents, and achieve high efficiency and high measurement accuracy Effect

Active Publication Date: 2022-07-29
EAST CHINA UNIV OF TECH
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Problems solved by technology

The natural gamma total logging can only reflect the total content of radionuclides contained in the rock ore layer, but cannot distinguish the total content of the radionuclides and their respective contents

Method used

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  • Quantitative conversion factor for uranium ore based on natural γ energy spectrum logging multi-characteristic peak combination
  • Quantitative conversion factor for uranium ore based on natural γ energy spectrum logging multi-characteristic peak combination
  • Quantitative conversion factor for uranium ore based on natural γ energy spectrum logging multi-characteristic peak combination

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Embodiment Construction

[0038] 1. Selection of characteristic peaks of radioactive element uranium

[0039] 1) First, measure the standard model energy spectrum of natural gamma radioactivity. Align the center point of the γ energy spectrum detector in the model well of the standard uranium mine with the center of the model well, record the logging data, and obtain the natural γ energy spectrum curves of the background standard model and the standard model of different uranium content.

[0040] 2) Secondly, select the characteristic peaks of uranium daughter elements in the natural γ energy spectrum curve. Natural radioactive uranium-series decay daughters all emit a variety of characteristic γ-rays. The γ-rays with higher decay probability, higher energy, and no overlapping peaks are selected as characteristic peaks. The decay characteristic γ-ray energy data of uranium-series daughters are shown in Table 1. Show.

[0041] Table 1 Data table of gamma nuclides of uranium series decay (only characte...

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Abstract

The invention discloses a method for calculating the quantitative conversion coefficient of uranium ore based on the combination of natural γ energy spectrum logging multi-characteristic peaks. At 400 keV, the γ all-energy peak with a high probability of photon decay and no overlapping adjacent peaks is used as the characteristic peak for the calculation of the uranium content conversion factor. The combination of multiple characteristic peaks is used to obtain the quantitative conversion factor of uranium ore. Using this method to perform natural gamma energy spectrum logging in uranium mines has high relative measurement accuracy and can improve the efficiency of natural gamma energy spectrum logging in uranium mines.

Description

technical field [0001] The invention relates to a method for obtaining conversion coefficients for quantitative interpretation of natural radioactive element content by natural gamma energy spectrum logging used for uranium exploration and mining, in particular to a uranium ore quantification based on natural gamma energy spectrum logging multi-characteristic peak combination Conversion factor calculation method. Background technique [0002] The quantification of solid minerals mainly depends on the chemical analysis method of drilling core sampling, which is the most direct method for quantifying elements in rock and mineral layers, but also brings disadvantages such as low core drilling efficiency, high core sampling cost, and long chemical analysis period. . Especially the radioactive minerals are mostly rare and precious metals, among which the thickness of the uranium ore is generally thin and the content is very low. When the thickness of the sandstone uranium ore is...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01V5/12
CPCG01V5/12
Inventor 张丽娇汤彬王海涛刘志锋张雄杰张焱陈锐
Owner EAST CHINA UNIV OF TECH
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