Prosper & Cerberus Modelling for Efficient WBCOs in Artificial Lift Flowing Wells

N. Varma, Ankesh Nagar, K. Manish, Pranay Srivastav, Satish Nekkanti, A. Bohra, Preyas Srivastav
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Abstract

This paper describes simulation solution for CT(Coil Tubing) based WBCO in flowing ESP/Jet Pump wells for scale/polymer debris deposition removal prior to any treatment in well, such as – Formation stimulation, ESP treatment, etc. It also describes prediction for requirement of Surface Well Test spread support to assist Nitrogen assisted WBCO. The paper describes new way of simulation for CT WBCO job in artificially flowing wells to predict decreased Liquid rate from reservoir, CT pressure & friction pressure losses. The modelling is done in Prosper and Cerberus, the results of which are validated with surface well test and Multiphase flow meter data recorded during the jobs. The results observed were very close to modelled with a number of advantages such as – No loss returns, higher lifting velocities, prediction of increased/decreased reservoir liquid rate affecting Motor winding temperature in ESPs, no settling of debris, post job Increased Liquid gain from well, decreased tubing friction pressure loss
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Prosper & Cerberus人工举升流动井高效wbco模型
本文介绍了在ESP/喷射泵流动井中基于连续油管(Coil油管)的WBCO的模拟解决方案,用于在井中进行任何处理(如地层增产、ESP处理等)之前清除结垢/聚合物碎屑沉积。并对地面试井扩支辅助氮辅助WBCO的需求进行了预测。本文介绍了一种新的模拟人工流动井连续油管WBCO作业的方法,以预测储层液量下降、连续油管压力和摩擦压力损失。建模是在Prosper和Cerberus中完成的,建模结果通过地面试井和作业过程中记录的多相流量计数据进行验证。观察到的结果与模型非常接近,并且具有许多优点,例如:无损失率,更高的举升速度,预测储层液量的增加/减少会影响esp中电机缠绕温度,没有碎屑沉淀,作业后增加了井中液体的增益,降低了油管摩擦压力损失
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