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A novel in-depth intelligent evaluation approach for the gas drainage effect from point monitoring to surface to volume

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Listed:
  • Tongqiang, Xia
  • Diao, Li
  • Xiaolin, Li
  • Xin, Yan
  • J.G., Wang

Abstract

Developing a comprehensive and intelligent evaluation approach for dynamic gas extraction parameters is especially important for the operation and management of gas drainage in coal mines. However, existing approaches lack an in-depth intelligent evaluation approach for acquiring surface parameters of gas flow and volume characteristic parameters of the entire drainage area from the finite monitoring data. To fill this gap, a novel Field-Zone-Network model as a unique approach were presented to overcome the above-mentioned challenges, with innovative multi-parameter solution and inversion models. It utilized advanced mathematical algorithms for parameter estimation of gas drainage, by integrating the finite monitoring points data of pipe network and physical characteristic parameters of pipe network and coal seam. The model's accuracy and reliability were validated through rigorous comparisons with field data collected from coal mines and numerical simulations conducted in simulated scenarios. It realized the sufficient mining of finite monitoring data from points (monitoring points) to surface (network) to volume (coal seam). Further, the newly comprehensive software was developed to enable real-time monitoring, analysis, and evaluation of gas drainage effect, providing valuable insights for optimizing extraction operations in coal mines. This research contributes to the advancement of gas drainage in coal mines by presenting a novel Field-Zone-Network model and comprehensive software, empowering efficient and intelligent gas extraction operations with enhanced monitoring and evaluation capabilities.

Suggested Citation

  • Tongqiang, Xia & Diao, Li & Xiaolin, Li & Xin, Yan & J.G., Wang, 2024. "A novel in-depth intelligent evaluation approach for the gas drainage effect from point monitoring to surface to volume," Applied Energy, Elsevier, vol. 353(PB).
  • Handle: RePEc:eee:appene:v:353:y:2024:i:pb:s0306261923015118
    DOI: 10.1016/j.apenergy.2023.122147
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    References listed on IDEAS

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    1. Tongqiang Xia & Jianhang Lu & Zilong Li & Hongfei Duan & Hongyun Ren & Zhuangzhuang Zhang & Yantai Zhang, 2022. "Adaptive Control Strategy and Model of Gas-Drainage Parameters in Coal Seam," Sustainability, MDPI, vol. 14(15), pages 1-16, July.
    2. Gatnar, Kazimierz & Tor, Andrzej, 2003. "Drainage and economic utilization of methane from coal seams in the Jastrzebie mining-field," Applied Energy, Elsevier, vol. 74(3-4), pages 331-341, March.
    3. Kong, Shengli & Cheng, Yuanping & Ren, Ting & Liu, Hongyong, 2014. "A sequential approach to control gas for the extraction of multi-gassy coal seams from traditional gas well drainage to mining-induced stress relief," Applied Energy, Elsevier, vol. 131(C), pages 67-78.
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