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A Phase Behavior Restoration Method Based on Maximum Retrograde Condensation Pressure Fitting for Condensate Gas Reservoirs

  • De-yang Zhou,
  • Xu-jing Ren,
  • Xiao-feng Li,
  • Zhi-chao Ma,
  • Yan Wang,
  • Heng-dong Zhu

摘要

During the development of condensate gas reservoirs, condensate dropout occurs as bottom-hole pressure drops below the dew point, significantly impacting reservoir permeability, productivity, and overall production performance. Accurately restoring the original fluid phase behavior is critical for optimizing development strategies, improving numerical simulation precision, and enhancing reservoir management. However, traditional restoration methods often suffer from substantial errors when fitting the maximum retrograde condensation pressure, especially for reservoirs lacking representative saturated PVT samples, thereby compromising the reliability of development plans. This paper proposes a phase behavior restoration method based on accurate fitting of the maximum retrograde condensation pressure. By integrating well-testing and production data, optimizing experimental data handling workflows, and refining equation-of-state (EOS) parameters, the restoration accuracy is significantly improved. Application results demonstrate that the proposed method reliably reconstructs original fluid phase behavior across various pressure conditions, markedly enhancing the precision of single-well condensate production modeling. Compared to conventional methods, this approach better captures the true phase evolution characteristics of reservoir fluids, providing a robust foundation for numerical simulations and dynamic forecasting in condensate gas reservoirs.