NETWORK HYDRODYNAMIC MODEL OF UNDERGROUND URANIUM LEACHING
Zhussupbekov S.S. Abzhanova L.K. Orakbaev Y.Z. Sagyndykova S.N. Kuanyshbayeva A.
2025National Academy of Sciences of the Republic of Kazakhstan
News of the National Academy of Sciences of the Republic of Kazakhstan, Series of Geology and Technical Sciences
2025#2025Issue 4125 - 136 pp.
Uranium is a strategic raw material widely used in nuclear energy. Among the existing methods of uranium mining, open and underground mining, as well as in-situ leaching (ISL), are widely applied. ISL is recognized as the most environmentally friendly and cost-effective method for developing hydrogenous uranium deposits. In Kazakhstan, all hydrogenous uranium deposits are developed using the ISL method. The efficiency of the process significantly depends on timely control of parameters, which emphasizes the need for mathematical modeling. This paper presents modern approaches to managing the ISL process based on mathematical models. Particular attention is paid to the network hydrodynamic model, which, using data on uranium concentration, environmental permeability, and other geotechnological parameters, increases the profitability of deposit development. Measuring flow rates and nodal pressures in a well network allows calculation of the pressure drop in the ore body between injection and production wells, as well as hydraulic resistance. Determining these parameters is important for increasing production efficiency, reducing energy costs, and minimizing reagent consumption. The obtained results create a scientific basis for developing innovative solutions in the field of ISL process automation. These solutions can be used to design optimal well placement schemes and determine the most effective cell radius. In the future, this study will contribute to the creation of an intelligent control system for the uranium leaching process. The use of neural networks for modeling and analyzing the ISL process is of particular interest and is a promising direction for further development.
control system , intelligent control systems , network graph , network model , operational field , underground leaching , uranium mining
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Department of «Automation and control», Almaty University of Power Engineering and Telecommunications named after Gumarbek Daukeev, Almaty, Kazakhstan
Department of «Automation and control»
10 лет помогаем публиковать статьи Международный издатель
Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026