新疆石油地质

›› 2014, Vol. 35 ›› Issue (2): 1-1.

• 论文 •    

煤层气压缩因子解析计算模型的建立

孙红明1，傅雪海1,2，丁永明3，梁跃林4   

  1. (1.中国矿业大学 资源与地球科学学院,江苏 徐州 221116;2.新疆大学 地质与矿业工程学院,乌鲁木齐 830047;3.新疆工程学院,乌鲁木齐 830091;4.中国石油集团 西部钻探工程公司 井下作业公司,新疆 克拉玛依 834000)
  • 出版日期:2019-01-01 发布日期:1905-07-11

Analytical Calculation Model for Coalbed Methane Compressibility Factor

SUN Hongming1, FU Xuehai1,2, DING Yongming3, LIANG Yuelin4   

  1. (1.School of Resources and Earth Science, China University of Mining and Technology, Xuzhou, Jiangsu 221116, China; 2.School of Geology and Mining Engineering, Xinjiang University, Urumqi, Xinjiang 830047, China; 3.Xinjiang Institute of Engineering, Urumqi, Xinjiang 830091, China; 4.Downhole Services Company, Xibu Drilling Engineering Company Limited, CNPC, Karamay, Xinjiang 834000, China)
  • Online:2019-01-01 Published:1905-07-11

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摘要： 煤层气压缩因子是计算煤储集层游离气含量的必要参数。在煤层气领域一般通过查甲烷压缩因子表获取煤层气压缩因子数据，但用此方法获得的甲烷压缩因子数据精度不高。为了建立适用于煤层气化学成分组成及煤储集层温度、压力条件下的煤层气压缩因子解析计算模型，利用REFPROP 8.0软件计算了温度273.15~373.15 K、压力0~30 MPa时的甲烷压缩因子，使用多项式回归方法，建立了以对比温度和对比压力为自变量的甲烷压缩因子解析计算模型。在此基础之上，应用对比状态原理与加权处理方法，建立了不同气体成分组成条件下的煤层气压缩因子解析计算模型。模型计算结果相对误差小于2.5%，平均相对误差为1.48%，模型可以应用于计算煤储集层游离气含量。

Abstract: Coalbed methane compressibility factor is necessary to calculate the free gas in coal reservoir. The data of coalbed methane compressibility factor is usually obtained by checking methane compression factor table, however, this method is not so accurate. In order to establish an analytical calculation model for coalbed methane compressibility factor, which is suitable for conditions of the composition of coalbed methane and the temperature and pressure of coal reservoir, REFPROP 8.0 sofware is used to calculate the methane compressibility factor at temperature of 0~100℃ and pressure of 0~30 MPa. An analytical calculation model for pure methane compressibility factor is established with reduced temperature and reduced pressure as independent variables. Based on this model, an analytical calculation model for coalbed methane compressibility factor is established by means of corresponding states principle and weighted processing approach. The calculated result from this model shows that the relative error is less than 2.5%, with an average value of 1.48%. This model can be used to calculate free gas content in coal reservoir

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