Pressure Drop Determination for Multiphase Flow in a Vertical Well Tubing

Abstract

Several studies have been carried out, by researchers to predict multiphase flow pressure drop in the oil and gas industry, but yet there seems to be one being generally acceptable for accurate prediction of pressure drop. This is as a result of some constraints in each of these models, which makes the pressure drop predicted by the model far from accurate when compared to measured data from the field. This study is aimed at developing a multiphase fluid flow model in a vertical tubing using the Duns and Ros flow model. Data from six wells were utilized in this study and results obtained from the Modified model compared with that of Duns and Ros model along other models. From the result, it was observed that the newly developed model (Modified Duns and Ros Model) gives more accurate result with a R-squared value of 0.9936 over the other models. The Modified model however, is limited by the choice of correlations used in the computation of fluid properties.

Interpretation of Neural Network Models – New Insights of Estimating Static Bottom-Hole Pressures of Gas Wells in Nigerian Petroleum Provinces

“…They are visible in Figs. (2)(3)(4)(5) and Fig. (A1-A6) (in Appendix) for the maximum-minimum and clip normalization datasets.…”

“…Figs. (2)(3) present the MSE and R performance of the networks trained with maximum-minimum normalised datasets. These figures show that the various networks' validation, testing, and overall performance were better than the training performance.…”

“…The oil reservoir comprises layers with special interlayer properties containing the three liquid phases of water, oil, and gas. The flow of these fluids in their phases can be controlled by individual layers separated by either permeable or impermeable interfaces [2]. The simultaneous flow of water, oil, and gas in vertical tubes is crucial in the oil industry [3].…”