The kinetics of thorium extraction from hydrochloric acid medium by a binary mixed system of di(2-ethylhexyl) (2-ethylhexyl)aminomethylphosphonate (Cextrant 230) and trialkylphosphine oxide (Cyanex 923) was investigated using the laminar flow constant interfacial cell method. For comparison, the kinetics of thorium extraction by the Cextrant 230 single system was also studied. Systematic investigations were conducted on the effects of stirring rate, temperature, specific interfacial area, extractant concentration, acidity, and chloride ion concentration on the extraction rate.The results show that the extraction regime is deduced to be chemical reaction-controlled for the sole Cextrant 230 system and diffusion-controlled for the mixture system, respectively, and the extraction reaction occurring at the bulk phase would be the rate-determining step. The thorium extraction rate is barely affected with temperature variations in the sole Cextrant 230 system, but increased in the mixture system, with an activation energy of 14.74 kJ/mol. The concentration of chloride and extractants linearly related to the extraction rate indicates that the extraction of Th⁴⁺ both in the sole Cextrant 230 system and mixture system is a pseudo first-order reversible reaction.

A regional mining transportation system optimization model based on complex network planning was constructed to address the characteristics of dispersed mining of uranium deposits, diverse development methods, and complex transportation system networks in the region. Under the conditions of regional mining, a comprehensive planning and development transportation system was developed to enhance the efficiency, economy, and scientific effectiveness of the regional mining transportation system. By analyzing the spatial and geographical relationships of regional mines and the concept of intensive development, a system network diagram was established. Using network flow theory and Grey Wolf Algorithm, the global optimal solution for the regional mining transportation system was obtained. The effectiveness of the model was validated in the Xiangshan uranium mining area, and the optimal regional transportation route and lowest cost plan for the mine were calculated. The results indicate that the model meets the requirements of large-scale and intensive regional mining transportation systems, and has effective planning effects on transportation systems. It provides technical support for the economic and efficient operation of the transportation system in the Xiangshan uranium mining field, and can also provide reference for the intelligent transportation system planning of other uranium mining bases.

During the production of nuclear fuel elements, hydrofluoric acid solutions with high concentration of uranium are generated. According to the requirements of the National Nuclear Safety Administration (Guoheanfa 〔2023〕 No. 158), hydrofluoric acid solutions with uranium concentrations below 0.2 mg/L can be released from regulatory control. To meet national regulatory requirements, this study utilized a hydrofluoric acid-resistant resin functionalized with specific groups to investigate its uranium adsorption performance in uranium-containing hydrofluoric acid under static and dynamic conditions. The resin’s resistance to hydrofluoric acid corrosion, saturated adsorption capacity, desorption efficiency, and reusability were systematically evaluated. The results show that the uranium concentration in hydrofluoric acid treated with this resin is reduced to below 0.2 mg/L, meeting the regulatory release criteria. Furthermore, the resin exhibits no significant decline in uranium adsorption capacity after 10 adsorption-desorption cycles. These findings provide a foundation for subsequent large-scale engineering applications.

With the global growth in demand for clean energy, the development of uranium ore resources and its environmental impact increasingly have raised concerns. Uranium tailings (slag), as the main by-product of uranium mining and processing, are an urgent environmental concern requiring safe disposal. This study systematically summarized the research progress of uranium tailings backfilling and safe disposal technology, and focuses on the paste filling process optimization and nano material solidification mechanism, in order to provide theoretical support for the green development of uranium resources and the safe disposal of radioactive waste.

In order to cope with the rising cost of truck haulage due to the rising price of diesel fuel, this thesis focuses on the existing trolley line in the Husab uranium mine in Namibia, the “Field two-time refueling method” was designed to measure the oil consumption and power consumption on the slope under the condition of pure oil and the auxiliary condition of trolley line. By disassembling the cost and benefit factors related to the operation of trolley line, this thesis put forward the reasonable value method of each factor, constructed the economic analysis frame and completed the economic feasibility calculation of the operation of trolley line. The results show that the truck with 330 t rated load in Husab is driven up the slope by trolley line at a speed of 550 m, consumes 62.65 kW·h of electricity, saves 11.25 liters of fuel consumption than the truck with pure oil, and the climbing speed is 24 km/h, which is twice as fast as that of the truck with pure oil. According to the calculation, the total dynamic income of the test section in Husab is 70.47 million N$\$$ during its whole life, and the static payback period of the technical renovation investment is less than 2 years. The static payback period of the investment is less than 5 years considering the construction cost. The investment sensitivity analysis shows that the project is most sensitive to the oil price, followed by electricity price and operating cost, and the project is least sensitive to the capital input, but even when the oil price is reduced by 50%, the dynamic income of the whole life of the project can still reach 22.09 million N$\$$, indicating that the project has strong risk resistance.

In-situ leaching uranium has become one of the important techniques in uranium mining and metallurgy of China after more than 40 years of experimental research and industrial application. However, the radioactive wastewater, radioactive waste gas and radioactive solid wastewater produced by long-term in-situ leaching uranium will have impact of different extent on the ecological environment around the mine, which pose adverse effect on public health and environmental safety. In order to understand the radiation environment of in-situ leaching uranium mine, taking an in-situ leaching uranium mine in Xinjiang as the investigation object, radiation environment investigation and research during production and operation period of mine were carried out on the basis of the site investigation and sample analysis. The results show that the radioactivity levels of monitoring media such as ambient air, terrestrial gamma, surface water, groundwater, soil, biological samples, and radon exhalation rate around the in-situ leaching uranium mine are basically within the radioactive background level range of Xinjiang region or the applied standard limits, besides the radiation environmental quality meet the corresponding requirements and the radiation environmental risk is controllable. In the future production and operation period of in-situ leaching mine, mining enterprises should strengthen the awareness of environmental protection, through establishing and improving environmental management and monitoring plans, formulating scientific and effective radiation protection measures, strengthening environmental monitoring and emergency management and other measures to ensure the impact of mining activities on the environment is minimized, public health and environmental safety is guaranteed and development of in-situ leaching uranium mining is further improved.

According to the national policy of developing green mining and building green mines as an important platforms and means for transforming the development mode of mining, enhancing the overall image of the mining industry, and promoting the safe and sustainable development of the mining industry, as well as the requirements of the State Security Bureau to carry out the "mechanization replaces people, automation reduces people" science and technology strengthen safety special action, the company has completed the "mechanization" transformation and has continued to carry out intelligent mine construction. Based on the pain points of safety in mining, such as high labor intensity, poor working environment, and high safety risks, the company has carried out intelligent mine construction projects, including unmanned driving of electric vehicles, remote control of loaders, remote control of crushers, and automation of ventilation and drainage. Through the transformation and upgrading of "digitalization" and "intelligentization", the company gradually achieves "minimization of personnel" or "unmanned operation" underground, improving the working environment and reducing labor intensity while further enhancing the intrinsic safety of hard rock uranium mining.

The core equipment of the stable rotation method for separating ⁷⁶Ge isotopes is the stable rotation machine. The normal and stable operation of the stable rotation machine is a key element to ensure the smooth progress of the entire production process. The main indicator for measuring the normal operation of the stable rotation machine is whether the speed of the stable rotation machine per minute is within a reasonable range, which is monitored by the stabilizer speed measurement system. Since the official launch of the speed measurement system, its performance in monitoring the speed and friction power consumption of the stable rotation machine has been outstanding. However, there is a drawback that when the system detects abnormal speed data of the stable rotation machine, it fails to automatically trigger the program to protect the stabilizing machine. In response to this deficiency, this article elaborates on the various functions of the speed measurement system, delves into the problem of the speed measurement system being unable to automatically execute protection programs when monitoring abnormal situations in the stable rotation machine, realizes the data communication docking between the speed measurement system and the DCS system based on MODBUS/TCP protocol, and completes the corresponding configuration programming work in the DCS system. After using the improved rotating speed measurement system, once the system detects fault protection signals such as single unit out of step/group out of step, single unit damage/group damage in the stabilizing machine, these signals will be transmitted in real time to the DCS control system. The DCS system immediately issues an accident alarm and activates the protection interlock program, successfully solving the problem of the speed measurement system being unable to protect the stabilizing machine in abnormal situations, effectively preventing damage to the stable rotation machine, and improving the safety performance of the system.

With the development of uranium mining, uranium mining technology has rapidly advanced, but various challenges have emerged. In the process of in-situ leaching of uranium, there is often a phenomenon of decreased pumping and injection volume, which seriously affects the efficiency of uranium leaching. In response to the problem of decreased pumping and injection volume, physical, chemical, and combined well cleaning techniques have been carried out. The washing technology can solve the blockage around the wells, but its washing effect lasts for a short time and has a small impact radius, which cannot fundamentally solve the problem of decreased flow rate. The liquid flow cavitation technology is widely used in petroleum extraction, which can effectively increase the production of pumping wells and reduce the pressure of injection wells. However, it has not been involved in the in-situ of uranium process. In this paper, by comparing the difference between uranium leaching technology and petroleum technology, the cavitation device is optimized, and the drilling wellhead device is improved in the ground test, and then the liquid flow cavitation test is carried out. During the test, the operation displacement reached 2 m³/min and the pressure was about 21 MPa, which verified the feasibility of liquid flow cavitation technology in in-situ of uranium, and provided a new idea for improving the permeability of uranium mine.

Machine learning algorithms can automatically learn and extract features from a large amount of geological data to achieve fast and accurate lithology identification. In this paper, the logging data of several wells in a sandstone-type uranium deposit in Inner Mongolia were randomly divided into training sets and verification sets according to the ratio of 7∶2. The model structure was adjusted and the hyperparameters were optimized for training. BC1401, BC2802, BC4603 and BC7206 well were used for testing to realize the comparative analysis of 5 kinds of models, such as random forest, XGBoost, K value proximity algorithm, BP neural network and SMOTE-LSTM algorithm. The results show that SMOTE-LSTM model has the most superior stability and accuracy, with an accuracy of 84.6%.