西南石油大学学报(自然科学版) ›› 2019, Vol. 41 ›› Issue (4): 120-126.DOI: 10.11885/j.issn.1674-5086.2018.06.20.01

• OIL AND GAS ENGINEERING • Previous Articles     Next Articles

Study on Influence of High CO2 Content on Gas Deviation Factor of Natural Gas

LEI Xiao1, DAI Jincheng2, CHEN Jian1, HAN Xin1, LU Ruibin1   

  1. 1. CNOOC China Limited, Zhanjiang Branch, Zhanjiang, Guangdong 524057, China;
    2. School of Oil & Natural Gas Engineering, Southwest Petroleum University, Chengdu, Sichuan 610500, China
  • Received:2018-06-20 Online:2019-08-10 Published:2019-08-10

Abstract: The gas deviation factor of natural gas is the basis for the calculation of the physical parameters and geological reserves of natural gas. It is affected by temperature and pressure and is also a function of natural gas composition and its components. At present, a high-precision calculation method of gas deviation factor suitable for natural gas with low CO2 content already exists. However, its calculation precision is not guaranteed when applied to the calculation of gas deviation factor for natural gas with high CO2 content, typically found in DF Gas Field. Targeting this problem, the influence of CO2 content on the gas deviation factor of natural gas was analyzed using the PVT experimental method. Based on the experimental results, the empirical formula of the DAK method for calculating the gas deviation factor of natural gas was modified using the Levenberg-Marquardt algorithm and the general global optimization method. The results show that, similar to the effects of heavy hydrocarbons (ethane and propane), the presence of CO2 significantly reduces the gas deviation factor of natural gas, and the magnitude of this influence gradually increases as CO2 content increases. When CO2 content is low, the DAK empirical formula can calculate the gas deviation factor of natural gas relatively accurately, whereas if CO2 content becomes larger than 50%, the corrected DAK empirical formula can lead to satisfactory results.

Key words: natural gas with high CO2 content, gas deviation factor, experimental research, Levenberg–Marquardt algorithm, corrected DAK model

CLC Number: