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51313-02393-An Improved Model for Water Wetting Prediction in Oil-Water Two-Phase Flow

Product Number: 51313-02393-SG
ISBN: 02393 2013 CP
Author: Sonja Richter
Publication Date: 2013
$0.00
$20.00
$20.00

Internal corrosion is one of the most common problems within the transportation pipelines of the oil and gas industry. Water wetting is an important issue in the prediction of internal CO2/H2S corrosion in mild steel pipelines since the water will not corrode the steel unless it is in a direct contact with it. The water wetting is affected by water chemistry flow regime pipe orientation water cut and oil properties etc. Cai et al. (2011) proposed a mechanistic model to predict phase wetting in oil-water two-phase flow. Good agreement was achieved between experimental results and the predictions but only for a model oil. For crude oils the model overpredicted water wetting leading to overestimation of corrosion in the system. A new mechanistic phase wetting prediction model is proposed. In addition to considering the energy balance between the turbulence and the surface tension the new model includes the effect of the surface wettability to calculate the maximum water droplet size in oil-water flow. The model significantly improves the prediction of the critical oil phase velocity required for full water entrainment compared to the previous model. The new model has been verified with experimental large scale (4”) flow loop results for different crude oils and model oil with different additive chemicals which alter the wettability.

Internal corrosion is one of the most common problems within the transportation pipelines of the oil and gas industry. Water wetting is an important issue in the prediction of internal CO2/H2S corrosion in mild steel pipelines since the water will not corrode the steel unless it is in a direct contact with it. The water wetting is affected by water chemistry flow regime pipe orientation water cut and oil properties etc. Cai et al. (2011) proposed a mechanistic model to predict phase wetting in oil-water two-phase flow. Good agreement was achieved between experimental results and the predictions but only for a model oil. For crude oils the model overpredicted water wetting leading to overestimation of corrosion in the system. A new mechanistic phase wetting prediction model is proposed. In addition to considering the energy balance between the turbulence and the surface tension the new model includes the effect of the surface wettability to calculate the maximum water droplet size in oil-water flow. The model significantly improves the prediction of the critical oil phase velocity required for full water entrainment compared to the previous model. The new model has been verified with experimental large scale (4”) flow loop results for different crude oils and model oil with different additive chemicals which alter the wettability.

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