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Mechanical Sciences An open-access journal for theoretical and applied mechanics
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Volume 3, issue 1
Mech. Sci., 3, 43–47, 2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
Mech. Sci., 3, 43–47, 2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.

Short communication 22 Jun 2012

Short communication | 22 Jun 2012

New multiphase choke correlations for a high flow rate Iranian oil field

M. Safar Beiranvand1, P. Mohammadmoradi2, B. Aminshahidy1, B. Fazelabdolabadi1, and S. Aghahoseini3 M. Safar Beiranvand et al.
  • 1Institute of Petroleum Engineering, College of Engineering, University of Tehran, Tehran, Iran
  • 2Department of Chemical and Petroleum Engineering, Sharif University of Technology, Tehran, Iran
  • 3Department of Petroleum Engineering, Azad University of Kharg Island, Kharg Island, Iran

Abstract. The multiphase flow through wellhead restrictions of an offshore oil field in Iran is investigated and two sets of new correlations are presented for high flow rate and water cut conditions. The both correlations are developed by using 748 actual data points, corresponding to critical flow conditions of gas-liquid mixtures through wellhead chokes. The first set of correlations is a modified Gilbert equation and predicts liquid flow rates as a function of flowing wellhead pressure, gas-liquid ratio and surface wellhead choke size. To minimize error in such condition, in the second correlation, free water, sediment and emulsion (BS & W) is also considered as an effective parameter. The predicted oil flow rates by the new sets of correlations are in the excellent agreement with the measured ones. These results are found to be statistically superior to those predicted by other relevant published correlations. The both proposed correlations exhibit more accuracy (only 2.95% and 2.0% average error, respectively) than the existent correlations. These results should encourage the production engineer which works at such condition to utilize the proposed correlations for future practical answers when a lack of available information, time, and calculation capabilities arises.

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