Modeling of Coalbed Gas Pressure/Content Identification Using Image Analysis

• Published in: Natural resources research (New York, N.Y.) Vol. 33; no. 4; pp. 1723 - 1740
• Main Authors: Wei, Chengmin, Li, Chengwu, Qiao, Zhen, Ye, Qiusheng, Hao, Min, Ma, Shouye
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.08.2024; Springer Nature B.V
• Subjects: Accuracy; Algorithms; Chemistry and Earth Sciences; Coalbed methane; Computer Science; Critical point; Desorption; Earth and Environmental Science; Earth Sciences; Edge detection; Electrons; Emergency preparedness; Field tests; Fossil Fuels (incl. Carbon Capture); Gas pressure; Gas recovery; Geography; Image analysis; Image enhancement; Image processing; Mathematical Modeling and Industrial Mathematics; Mineral Resources; Original Paper; Physics; Pressure; Statistics for Engineering; Sustainable Development; Technology assessment; Image recognition; Gas pressure; Image database; Gas content; Coalbed methane
• ISSN: 1520-7439; 1573-8981
• DOI: 10.1007/s11053-024-10340-6

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.