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Optimization of Control Drainage Scheme and Prediction of Mine Pit Inflow Based on Groundwater Numerical Simulation
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Liang WANG1, Long TENG2, 3, 4, Chao LIU1, Junsheng MA1, Shuai ZHANG1, Chao GAO2, 3, 4
Mining Research and Development | 2025, 45(7) : 191 - 198
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Mining Research and Development | 2025, 45(7): 191-198
Optimization of Control Drainage Scheme and Prediction of Mine Pit Inflow Based on Groundwater Numerical Simulation
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Liang WANG1, Long TENG2, 3, 4, Chao LIU1, Junsheng MA1, Shuai ZHANG1, Chao GAO2, 3, 4
Affiliations
  • 1.Norin Minging Co., Ltd., Beijing 100053, China
  • 2.Changsha Institute of Mining Research Co., Ltd., Changsha, Hunan410012, China
  • 3.State Key Laboratory of Metal Mine Safety Technology, Changsha,Hunan 410012, China
  • 4.Hunan Engineering Research Center of Prevention and Management of Mine Geological Hazard and Environmental Reconstruction, Changsha, Hunan 410012, China
Published: 2025-07-25
Outline
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The prediction of mine pit inflow and the spatio-temporal variation of groundwater seepage fields in underground mines is of great significance for mine water control engineering, which is directly related to mine safety production and environmental protection. A copper-cobalt mine in the Democratic Republic of Congo (DRC) is located in a small nappe within the Zambia-DRC metallogenic belt, featuring complex hydrogeological conditions. If the traditional drainage scheme is adopted, the predicted mine pit inflow will exceed 46 000 m3/d. Through on-site hydrogeological condition investigation, a single-layer control drainage scheme was proposed by utilizing the vertical multi-layer structure of the mining area's aquifer and the principle of control drainage. By applying the theory of groundwater flow and numerical simulation techniques, a three-dimensional groundwater numerical model was established to accurately reflect the hydrogeological characteristics of the mining area. Combined with the optimization of drainage borehole layout scheme based on water gushing points during underground development, the prediction shows that the mine pit inflow during the mining period of the 940 m level can be reduced to 25 260 m3/d. The mine has been constructed according to the optimized control drainage scheme, achieving pressure-controlled mining in the first mining section. Compared with the traditional drainage scheme, it saves approximately 2.34 million US dollars in drainage costs annually. The single-layer control drainage method can provide a reference for similar high-water mines in Africa, thereby achieving the reduction of mine pit inflow, protection of mining area water resources, and efficient pressure-controlled mining.

High-water mine  /  Control drainage  /  Mine pit inflow  /  Numerical simulation
王亮, 滕龙, 刘超, 马俊生, 张帅, 高超. 基于地下水数值模拟的控制疏干方案优化及矿坑涌水量预测. 矿业研究与开发, 2025 , 45 (7) : 191 -198 .
Liang WANG, Long TENG, Chao LIU, Junsheng MA, Shuai ZHANG, Chao GAO. Optimization of Control Drainage Scheme and Prediction of Mine Pit Inflow Based on Groundwater Numerical Simulation[J]. Mining Research and Development, 2025 , 45 (7) : 191 -198 .
Year 2025 volume 45 Issue 7
87
35
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Article Info
  • Receive Date:2024-07-31
  • Online Date:2026-10-28
  • Published:2025-07-25
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  • Received:2024-07-31
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Affiliations
    1.Norin Minging Co., Ltd., Beijing 100053, China
    2.Changsha Institute of Mining Research Co., Ltd., Changsha, Hunan410012, China
    3.State Key Laboratory of Metal Mine Safety Technology, Changsha,Hunan 410012, China
    4.Hunan Engineering Research Center of Prevention and Management of Mine Geological Hazard and Environmental Reconstruction, Changsha, Hunan 410012, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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属
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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