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A Prediction Model of the Capillary Pressure J-Function.

W S Xu1,2, P Y Luo1, L Sun1

  • 1State Key of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu, Sichuan, 610500, People's Republic of China.

Plos One
|September 8, 2016
PubMed
Summary

This study presents a new power-function model for the capillary pressure J-function, improving understanding of its dependence on saturation (Sw). This enhances relative permeability calculations in porous media.

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Area of Science:

  • Petroleum Engineering
  • Reservoir Engineering
  • Porous Media Physics

Background:

  • The capillary pressure J-function is crucial for understanding fluid flow in porous media.
  • Its derivation from capillary bundle models is established, but its relationship with saturation (Sw) remains unclear.
  • Existing models often lack accuracy or simplicity in predicting J-function behavior.

Purpose of the Study:

  • To develop a novel prediction model for the capillary pressure J-function.
  • To elucidate the J-function's dependence on saturation (Sw).
  • To improve the calculation of relative permeability using the proposed J-function model.

Main Methods:

  • Developed a prediction model for the J-function based on capillary pressure principles.
  • Formulated the J-function prediction model as a power function.
  • Utilized the new J-function model to calculate relative permeability.

Main Results:

  • The proposed J-function prediction model is a power function, differing from exponential or polynomial forms.
  • This power-function model provides a clearer understanding of J-function dependence on saturation (Sw).
  • Relative permeability calculations using the J-function prediction model are simpler and yield more representative results.

Conclusions:

  • The power-function J-function prediction model offers a significant advancement in understanding fluid behavior in porous media.
  • This model simplifies relative permeability calculations, enhancing reservoir simulation accuracy.
  • The findings contribute to more effective management and exploitation of hydrocarbon reservoirs.