Empirical Model for Heat Transfer of Electric Submersible Pump (ESP) Motor at Oil Producer Well

G. Gunawan, I. Amri, Bahruddin Bahruddin
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Abstract

Motor operating temperature at wells equipped with Electric Submersible Pump (ESP) need to be monitored to maintain ESP performance run life. Not all producer wells equipped with temperature sensor, so it considered necessary to build mathematic model to estimate motor operating temperature. Model of heat transfer to predict motor operating temperature is developed based on empirical equation method. Parameter and variable data obtained from producer wells include water cut, viscosity, specific gravity, operating temperature, ampere and voltage. Procedure to calculate viscosity is ASTM D-88 and procedure to calculate specific gravity is ASTM D-5002. From 18 wells data obtained from the field, calculated reynolds numbers indicate turbulent flow regime with reynold numbers more than 4,000. Nusselt number were calculated using multiple linear regression with result of Nu = 0.06 * Re0.65 * Pr0.36 with error of 1.3% from downhole sensor measurement. The comparison with similar research also provided that use different Nusselt number empirical equation. The conclusion from the research showing that empirical approach by using specific constants to predict Nusselt number can be used to predict more accurate heat transfer coefficient with error 1.3%. Higher water cut fluid flow need lower fluid velocity to achieve motor operating temperature below motor limit temperature with fluid velocity above 0.3 m/s.
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采油井潜油电泵电机传热的经验模型
需要监测配备电潜泵(ESP)的油井的电机工作温度,以保持电潜泵的性能运行寿命。并不是所有生产井都配备了温度传感器,因此有必要建立数学模型来估计电机的工作温度。基于经验方程法建立了预测电机运行温度的传热模型。从生产井获得的参数和变量数据包括含水率、粘度、比重、操作温度、安培和电压。粘度计算程序为ASTM D-88,比重计算程序为ASTMD-5002。根据从现场获得的18口井的数据,计算的雷诺数表明雷诺数超过4000的湍流状态。使用多元线性回归计算Nusselt数,结果Nu=0.06*Re0.65*Pr0.36,井下传感器测量的误差为1.3%。与同类研究的比较也提供了使用不同努塞尔数的经验方程。研究结果表明,用特定常数预测努塞尔数的经验方法可以预测更准确的传热系数,误差为1.3%。含水率越高,流体速度越低,电机工作温度越低于电机极限温度,流体速度超过0.3m/s。
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审稿时长
8 weeks
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