In this study, commonly used two-phase flow pressure prediction correlations and mechanistic models for pipelines in petroleum industry are evaluated against experimental data. The experimental data were obtained from published papers.

Horizontal and upward two-phase flow are common in oil and gas production and transportation. During pipeline design and simulation, experimental data are usually unavailable to calibrate against correlations and models. In this situation, it is difficult to determine which correlation or model to use in predicting pressure gradient in pipelines.

Experimental data used in this study are from Kokal and Stanislav papers (Kokal and Stanislav, 1989) and from Chen et al. paper (Chen et al., 1997). For the Kokal and Stanislav papers, experimental data were gathered from 1-inch, 2-inch and 3- inch pipes with seven inclination angles. Oil and air were used as testing fluids. During the experiment, superficial liquid velocities range from 1.2 to 10 ft/s and superficial gas velocities range from 0.76 to 85 ft/s. For the Chen et al. paper, data were gathered from a 3-inch horizontal pipe at stratified-wavy flow. Kerosene and air were testing fluids.

Beggs-Brill, Dukler-Eaton-Flanigan, Dukler and Eaton correlations and Xiao mechanistic model are evaluated in this study.

The results of this study can be used as guidelines in choosing two-phase flow pressure prediction correlations and models in designing and analyzing horizontal and upward two-phase flow pipelines.

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