New Modification on Production Data of Gas Condensate Reservoirs for Rate Transient Analysis

被引:0
|
作者
Boogar, A. Sadeghi [1 ]
Gerami, S.
Masihi, M. [1 ]
机构
[1] Sharif Univ Technol, Tehran, Iran
关键词
correlation function; gas condensate reservoirs; material balance time; production data analysis; CURVE;
D O I
10.1080/10916466.2010.506457
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Techniques of production data analysis for single-phase oil and gas reservoirs have advanced significantly over the past few years. These techniques range from traditional (i.e., Arps, 1945; Fetkovich, 1980) to modern methods that account for the variation of operating conditions at the wellbore. However, the application of these latermethods to gas condensate reservoirs is a challenge. The authors aimed to extend the applicability of modern production data analysis (single-phase flow) to analyze the production data of a gas condensate reservoir (two-phase flow). A single-phase production model consists of (a) a material balance equation, (b) the solution of diffusivity equation for gas flow subjected to constant rate and constant pressure boundary conditions, and (c) the presentation of a material-balance-time function. Using a compositional reservoir simulator, long-term production data have been generated over a wide range of the gas condensate reservoir parameters. The simulation result is compared with the prediction from the single-phase gas reservoir model, which uses a modern production analysis method. The error level is evaluated and a correlation for treatment of the single-phase analysis method is developed. Finally the results show that the methodology developed can be successfully applied for analysis of production data of a gas condensate reservoir.
引用
收藏
页码:543 / 554
页数:12
相关论文
共 50 条
  • [41] Gas Production from Gas Condensate Reservoirs Using Sustainable Environmentally Friendly Chemicals
    Hassan, Amjed M.
    Mahmoud, Mohamed A.
    Al-Majed, Abdulaziz A.
    Al-Shehri, Dhafer
    Al-Nakhli, Ayman R.
    Bataweel, Mohammed A.
    SUSTAINABILITY, 2019, 11 (10):
  • [42] Analysis of well-test responses in gas/condensate reservoirs
    Denney, D
    JOURNAL OF PETROLEUM TECHNOLOGY, 2004, 56 (02): : 61 - 63
  • [43] Pressure and rate transient analysis of composite shale gas reservoirs considering multiple mechanisms
    Zeng, Hui
    Fan, Dongyan
    Yao, Jun
    Sun, Hai
    JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING, 2015, 27 : 914 - 925
  • [44] Novel Model for Rate Transient Analysis in Stress-Sensitive Shale Gas Reservoirs
    Lu, Ting
    Long, Shengxiang
    Li, Zhiping
    Liu, Shimin
    Liu, Yu
    Adenutsi, Caspar Daniel
    Peng, Zeyang
    ACS OMEGA, 2021, 6 (22): : 14015 - 14029
  • [45] New forecasting method for liquid rich shale gas condensate reservoirs with data driven approach using principal component analysis
    Khanal, Aaditya
    Khoshghadam, Mohammad
    Lee, W. John
    Nikolaou, Michael
    JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING, 2017, 38 : 621 - 637
  • [46] Well test analysis of naturally fractured gas condensate reservoirs
    Aguilera, R
    Ng, MC
    JOURNAL OF CANADIAN PETROLEUM TECHNOLOGY, 1999, 38 (07): : 55 - 60
  • [47] Analysis of natural gas genesis in buried hill condensate gas reservoirs of Qianmiqiao
    Yang, Chi-Yin
    Jianghan Shiyou Xueyuan Xuebao/Journal of Jianghan Petroleum Institute, 2004, 26 (01): : 35 - 36
  • [48] Flowback rate transient analysis of multiphase flow through hydraulic fractures in gas condensate shales
    Yang, Chia-Hsin
    Emami-Meybodi, Hamid
    GAS SCIENCE AND ENGINEERING, 2025, 135
  • [49] Pore-scale analysis of gas injection in gas-condensate reservoirs
    Reis, P. K. P.
    Carvalho, M. S.
    JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2022, 212
  • [50] A new rate-transient analysis model for shale gas reservoirs coupled the effect of slip flow and surface diffusion
    Miao, Yanan
    Li, Xiangfang
    Zhou, Yunjian
    Lee, John
    Sun, Zheng
    Chang, Yucui
    Wang, Shan
    Hou, Chenhong
    INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 2018, 124 : 1 - 10