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A Novel Mathematical Model Considering Real Gas PVT Behavior to Estimate Inflow Performance Relationship of Gas Well Production

Author

Listed:
  • Shuang Zhang

    (State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing 102249, China)

  • Huiqing Liu

    (State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing 102249, China)

  • Yanwei Wang

    (State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing 102249, China)

  • Ke Sun

    (State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing 102249, China)

  • Yunfei Guo

    (State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing 102249, China)

Abstract

Inflow performance relationship (IPR) is one of the most important methods for the analysis of the dynamic characteristics of gas reservoir production. The objective of this study was to develop a model to improve the accuracy of the IPR for evaluating and predicting the production of gas reservoirs. In this paper, a novel mathematical model, taking into account the real gas PVT behavior, is developed to accurately estimate the inflow performance relationship. By introducing a pseudo-pressure function and a real gas properties database, this model eliminates the error caused by the linearization method and improves the calculation accuracy. The results show that more than 90% of the energy in the flow field is consumed by inertial forces, which leads to significant high-velocity non-Darcy effects in the gas reservoir. The reservoir permeability, original reservoir pressure, stress sensitivity coefficient, and skin factor have a great impact on the inflow performance relationship of gas reservoir production. This model predicts gas IPR curves with excellent accuracy and high efficiency. The high-precision gas well inflow performance relationship lays a solid foundation for dynamic production analysis, rational proration, and intelligent development of the gas field.

Suggested Citation

  • Shuang Zhang & Huiqing Liu & Yanwei Wang & Ke Sun & Yunfei Guo, 2021. "A Novel Mathematical Model Considering Real Gas PVT Behavior to Estimate Inflow Performance Relationship of Gas Well Production," Energies, MDPI, vol. 14(12), pages 1-18, June.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:12:p:3594-:d:576254
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    Citations

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    Cited by:

    1. Reza Rezaee, 2022. "Editorial on Special Issues of Development of Unconventional Reservoirs," Energies, MDPI, vol. 15(7), pages 1-9, April.

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