摘要
煤中含气量的影响因素较多,但核心因素是煤的变质程度。以往的研究者通常用Lang-muir方程来表征煤的最大含气量,以此为根据计算获得煤层气的资源密度。然而生产的实际表明煤的最大含气量远大于Langmuir方程中的a值。重新将煤进行吸附解吸实验,在进行煤基本结构分析的基础上建立数学模型,并利用SPSS软件进行数据拟合,发现Weibull不对称函数表征的最大含气量优于Langmuir方程,拟合结果分析中Weibull不对称函数拟合的R2皆大于Langmuir方程拟合的R2。从而得出利用Weibull不对称函数来表征解吸作用更为合理。
Many factors contribute to the mathane content in coal, but a key factor is the degree of coal metamorphism. The tent, and caculated predecessors used Langmuir equation to characterize the maximum methane conthe resource density of CBM (coal bed gas ). However, the actual production showed that the maximum methane content far exceeded a value of Langmuir equation, so adsorption and desorption experiments on coal were conducted. Based on the analysis of the basic structure of coal, mathematical models were established and the data were fitted with SPSS. It was found that the maxipaper concluded that it was more reasonable to characterize desorption with Weibull, which can facilitate the CBM production.
出处
《西安科技大学学报》
CAS
北大核心
2008年第4期674-679,共6页
Journal of Xi’an University of Science and Technology
基金
国家高技术研究发展计划(863计划)(2006AA06Z236)
国家重点基础研究发展计划(973)(2002CB211708)
关键词
煤
煤层气
含气量
解吸特征
coal
coalbed methane(CBM)
mathane content
desorption character