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2023 Vol. 44, No. 5
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FAN Hong-hai, PANG Ya-qing, HE De-bao, CHEN Dong-huan, WANG Yong-jian, SUN Yuan-qiang, GENG Rui-rui. 2023. Metallogenic Process and Prediction of Granite-related Uranium Deposits in South China. Acta Geoscientica Sinica, 44(5): 887-896. doi: 10.3975/cagsb.2022.122101
Citation: FAN Hong-hai, PANG Ya-qing, HE De-bao, CHEN Dong-huan, WANG Yong-jian, SUN Yuan-qiang, GENG Rui-rui. 2023. Metallogenic Process and Prediction of Granite-related Uranium Deposits in South China. Acta Geoscientica Sinica, 44(5): 887-896. doi: 10.3975/cagsb.2022.122101
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Metallogenic Process and Prediction of Granite-related Uranium Deposits in South China

  • Key Laboratory of Uranium Resource Exploration and Evaluation Technology of China National Nuclear Corporation, Beijing Research Institute of Uranium Geology, Beijing 100029

Received Date:  13 October 2022
Revised Date:  05 December 2022
    Abstract
  • South China hosts numerous granite-related uranium deposits. Based on the comprehensive study on the regional geological background, metallogenic characteristics, uranium metallogenic mechanism and ore-controlling factors of different types of granite-related uranium deposits in South China, it is concluded that the metallogenic processes of these uranium deposits have many similarities. Uranium mineralization is characterized by multiple stages. Uranium is mainly derived from uranium-rich basements and granitoids, and the ore fluids have crust-derived and mantle-derived components. Both deep mantle-derived fluids and meteoric water play important roles in the formation of granite-related uranium deposits controlled by Mesozoic–Cenozoic lithospheric extension. The fault is the most critical ore-controlling factor. Therefore, the regional uranium metallogenic models and prediction models in South China were established. Four uranium metallogenic prospective areas were predicted. Based on the GOCAD software, deep uranium metallogenic potential were predicted, and the three-dimensional geological models were established of Shulouqiu, Lujing and Shazijiang deposits. The positioning, quantifying, classifying, and depth-determining prediction of uranium resources were realized, which provides suggestions for the further deployment of uranium ore exploration work in South China.
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