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Ai Xianting, He Yue, Qiang Lu, Xin Yichao, He Kang. Prediction model optimization of wellbore wax deposition in high water cut wells in Yanchang oilfieldJ. Chemical Engineering of Oil & Gas, 2021, 50(3): 85-89. DOI: 10.3969/j.issn.1007-3426.2021.03.014
Citation: Ai Xianting, He Yue, Qiang Lu, Xin Yichao, He Kang. Prediction model optimization of wellbore wax deposition in high water cut wells in Yanchang oilfieldJ. Chemical Engineering of Oil & Gas, 2021, 50(3): 85-89. DOI: 10.3969/j.issn.1007-3426.2021.03.014

Prediction model optimization of wellbore wax deposition in high water cut wells in Yanchang oilfield

  • Accurate prediction of wax deposition rate is vital for oil wells. Most of wax deposition rate prediction models are based on mechanism models, with many calculation parameters and inconvenient to be applied in field at present. The water cut is generally high in Yanchang oilfield, the prediction accuracy of common empirical model is low. In this paper, an experimental study of the effect of water cut on wax deposition rate was carried out. Basing on the experimental data and common empirical formula, the calculated coefficients of different water content ranges of < 30%, 30%-70% and >70% were fitted, a wax deposition rate prediction model suitable for Yanchang oilfield was established..Comparing the new model with actual data, it has prediction accuracy of 87.7% with 10 wells. The results show that the model has high prediction accuracy, and the research can provide a theoretical support for the prediction of wax deposition in Yanchang oilfield.
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