In-situ gas contents of a multi-section coal seam in Sydney basin for coal and gas outburst management

Autor: Zhongbei Li, Ting Ren, Dennis Black, Ming Qiao, Itmam Abedin, Jessica Juric, Mike Wang
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: International Journal of Coal Science & Technology, Vol 10, Iss 1, Pp 1-13 (2023)
Druh dokumentu: article
ISSN: 2095-8293
2198-7823
DOI: 10.1007/s40789-023-00614-4
Popis: Abstract The gas content is crucial for evaluating coal and gas outburst potential in underground coal mining. This study focuses on investigating the in-situ coal seam gas content and gas sorption capacity in a representative coal seam with multiple sections (A1, A2, and A3) in the Sydney basin, where the CO2 composition exceeds 90%. The fast direct desorption method and associated devices were described in detail and employed to measure the in-situ gas components (Q 1, Q 2, and Q 3) of the coal seam. The results show that in-situ total gas content (Q T) ranges from 9.48 m3/t for the A2 section to 14.80 m3/t for the A3 section, surpassing the Level 2 outburst threshold limit value, thereby necessitating gas drainage measures. Among the gas components, Q 2 demonstrates the highest contribution to Q T, ranging between 55% and 70%. Furthermore, high-pressure isothermal gas sorption experiments were conducted on coal samples from each seam section to explore their gas sorption capacity. The Langmuir model accurately characterizes CO2 sorption behavior, with fit coefficients (R 2) greater than 0.99. Strong positive correlations are observed between in-situ gas content and Langmuir volume, as well as between residual gas content (Q 3) and sorption hysteresis. Notably, the A3 seam section is proved to have a higher outburst propensity due to its higher Q 1 and Q 2 gas contents, lower sorption hysteresis, and reduced coal toughness f value. The insights derived from the study can contribute to the development of effective gas management strategies and enhance the safety and efficiency of coal mining operations.
Databáze: Directory of Open Access Journals
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