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Modeling of Coalbed Gas Pressure/Content Identification Using Image Analysis

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Abstract

Coalbed gas pressure and content are fundamental parameters for mine gas recovery and disaster prevention. In response to the lengthy measurement cycles and low accuracy of existing models, this research proposes a new model for determining coalbed gas pressure and content based on image analysis. Utilizing dual-threshold edge detection and dynamic cycle extraction algorithms, a desorption image database was developed, enabling rapid inversion of gas pressure/content through an enhanced image similarity calculation method and cycle comparison algorithm. Field experiments demonstrate the high accuracy of the image analysis model in determining gas pressure/content, controlling the absolute error of gas pressure below 0.08 MPa and maintaining relative errors of 2.27–8.05%; for gas content, the absolute errors range 0.105–0.674 ml/g, with relative errors of 1.32–8.21%. Compared to previous desorption models, the image analysis model improves accuracy by 6.30% and reduces the measurement time to within 1.5 h, thus facilitating rapid and precise determination of coalbed gas pressure/content. Furthermore, by applying image recognition principles, this study delves into the critical points and significant change areas of the desorption rate curve, providing new insights into gas desorption behavior and expanding the application potential of image analysis technology in coalbed methane recovery.

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Acknowledgments

This work was supported by the National Natural Science Foundation of China (52004292), and the Guizhou Scientific Support Project (2023 General 430).

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Authors and Affiliations

  1. School of Emergency Management and Safety Engineering, China University of Mining and Technology, Beijing, 100083, China

    Chengmin Wei, Chengwu Li, Zhen Qiao & Qiusheng Ye

  2. Jiangsu Key Laboratory of Urban and Industrial Safety, Nanjing Tech University, Nanjing, 211816, China

    Min Hao

  3. College of Safety Science and Engineering, Nanjing Tech University, Nanjing, 211816, China

    Min Hao

  4. School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, 100081, China

    Shouye Ma

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  1. Chengmin Wei
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Correspondence to Chengwu Li or Shouye Ma.

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Wei, C., Li, C., Qiao, Z. et al. Modeling of Coalbed Gas Pressure/Content Identification Using Image Analysis. Nat Resour Res (2024). https://doi.org/10.1007/s11053-024-10340-6

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