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Flow Decision-making Method for the "Horizontal Well-Vertical Well" System Based on Multi-objective Optimization Algorithm
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Yu ZHANG1, Liang MA2, Zhaokun LI1, Longhao ZHAO1, Xinghao LI1, Qinci LI1
Uranium Mining and Metallurgy | 2025, 44(1) : 30 - 36
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Uranium Mining and Metallurgy | 2025, 44(1): 30-36
MINING AND HYDROMETALLURGY
Flow Decision-making Method for the "Horizontal Well-Vertical Well" System Based on Multi-objective Optimization Algorithm
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Yu ZHANG1, Liang MA2, Zhaokun LI1, Longhao ZHAO1, Xinghao LI1, Qinci LI1
Affiliations
  • 1 Beijing Research Institute of Chemical Engineering and Metallurgy, CNNC, Beijing 101149, China
  • 2 China General Nuclear Power Group (CGN) Uranium Resources Co., Ltd., Beijing 100029, China
Published: 2025-02-20 doi: 10.13426/j.cnki.yky.2024.06.05
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The design of injection and extraction fluid volume is closely related to both the effective leaching range of the lixiviant and the operational cost of the well field. To facilitate economically efficient decision-making regarding injection and extraction fluid volume in the "horizontal well-vertical well" system within the in-situ leaching uranium mining domain, a simulation-based optimization decision method for the "horizontal well-vertical well" system is proposed, leveraging multi-objective optimization algorithms. The research indicate that, compared to the initial scheme of uniformly distributing injection and extraction fluid volume, the decision scheme R2 achieves an 8.84% increase in the leaching range while reducing operational costs by 51.14%. This method has identified four "key wells" in the LK mining area, emphasizing the importance of closely monitoring the flow rates of such wells during scheme decision-making and adjustments. Based on the Pareto solution set derived from the multi-objective optimization, six combinations of injection and extraction operational schemes with varying effective leaching ranges and cost-weight ratios are selected to guide decision-makers in their scheme selection.

in-situ leaching uranium  /  horizontal well  /  multi-objective optimization  /  Pareto  /  deep uranium deposit  /  pumping-injection liquid volume  /  effective leaching rang
Yu ZHANG, Liang MA, Zhaokun LI, Longhao ZHAO, Xinghao LI, Qinci LI. Flow Decision-making Method for the "Horizontal Well-Vertical Well" System Based on Multi-objective Optimization Algorithm[J]. Uranium Mining and Metallurgy, 2025 , 44 (1) : 30 -36 . DOI: 10.13426/j.cnki.yky.2024.06.05
Year 2025 volume 44 Issue 1
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doi: 10.13426/j.cnki.yky.2024.06.05
  • Receive Date:2024-06-07
  • Online Date:2025-07-04
  • Published:2025-02-20
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  • Received:2024-06-07
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    1 Beijing Research Institute of Chemical Engineering and Metallurgy, CNNC, Beijing 101149, China
    2 China General Nuclear Power Group (CGN) Uranium Resources Co., Ltd., Beijing 100029, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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