能源化学(英文版)

能源化学(英文) ›› 2010, Vol. 19 ›› Issue (6): 0-0.

• Articles •    

An Efficient Correlation for Calculating Compressibility Factor of Natural Gases

Navid Azizi1,Dr. Isazadeh2,Dr. R. Behbahani3   

  1. 1. Petroleum University of Technology
    2. Gas Engineering Petroleum University of Technology
    3.
  • 收稿日期:2009-11-09 修回日期:2010-01-11 出版日期:2010-11-30 发布日期:2010-11-25
  • 通讯作者: Navid Azizi

An Efficient Correlation for Calculating Compressibility Factor of Natural Gases

  1. 1. Petroleum University of Technology
    2.
  • Received:2009-11-09 Revised:2010-01-11 Online:2010-11-30 Published:2010-11-25
  • Contact: Navid Azizi

摘要： Compressibility factor (z-factor) values of natural gases are necessary in most petroleum engineering calculations. Necessity arises when there are no available experimental data for the required composition, pressure and temperature conditions. One of the most common methods of calculating z-factor values is empirical correlation. Firstly, a new correlation based on the famous Standing-Katz (S-K) Chart is presented to predict z-factor values. The advantage of this correlation is that it is explicit in Z and thus does not require an iterative solution as is required by other methods. Secondly, the comparison between new one and other correlations is carried out and the results indicate the superiority of the new correlation over the other correlations used to calculate z-factor.

关键词: Natural Gas , Compressibility Factor , Explicit Correlation , Natural Gas, Compressibility Factor, Explicit Correlation

Abstract: Compressibility factor (z-factor) values of natural gases are necessary in most petroleum engineering calculations. Necessity arises when there are no available experimental data for the required composition, pressure and temperature conditions. One of the most common methods of calculating z-factor values is empirical correlation. Firstly, a new correlation based on the famous Standing-Katz (S-K) Chart is presented to predict z-factor values. The advantage of this correlation is that it is explicit in Z and thus does not require an iterative solution as is required by other methods. Secondly, the comparison between new one and other correlations is carried out and the results indicate the superiority of the new correlation over the other correlations used to calculate z-factor.