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Study on block size prediction and distribution patterns in a kilometer?deep mine using the natural caving method

  • English Author:
  • Tong Jianhua1,2

  • Unit:
  • (1. Zijin Mining Group Co., Ltd.; 2. Serbia Zijin Mining Co., Ltd. )
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Abstract:

Focusing on block size prediction for a porphyry-type mine abroad using the natural caving method, this study, based on the parameters such as engineering geological survey, ground stress testing, and natural caving design, employed the Monte Carlo simulation technique to analyze and predict caving block size, extracted block size, and fun-nel blockages. The prediction results indicate that the initial block size exhibits a high proportion of large blocks, with blocks larger than 2 m' accounting for 44.19 %-48.01 %. During the early stage of extraction, the extracted block size also showed a high proportion of large blocks, but this gradually decreased with increased draw height, particularly at 60 m, where the proportion dropped from the initial 20 %-25 % to approximately 10 %. A comparative analysis of fun-nel blockages in 4 drawpoints of different sizes revealed that all funnels experienced a blockage rate of over 20 % in the early caving stage, with frequent blockages during ore extraction. However, enlarging the drawpoint size to 12 mx5.0 m significantly mitigated blockage severity. This research provides critical insights for mining design and extraction con-trol in mines using the natural caving method.


Keywords:

deep mining; natural caving method; block size prediction; draw height; large block proportion; initial block size; BCF system; drawpoint