Distributed temperature sensing (DTS) has been used for fracture parameter diagnosis and flow profile monitoring. In this paper, we present a new model for predicting the temperature profile of two-phase flow multistage fractured horizontal wells in the tight oil reservoirs. The homogeneous reservoir flow/heat transfer model is extended to the tight oil reservoir-fracture-wellbore coupled flow/thermal model. The influence of SRV area on reservoir and wellbore is considered, and the Joule-Thomson effect, heat convection, heat conduction, and other parameters are introduced into the improved model. The temperature distributions of reservoir and wellbore with different production times, water cut, and locations of water entry are simulated. The simulated results indicate that the Joule-Thomson effect will cause wellbore temperature to rise; the temperature of fractures with more water production is significantly lower than that of other fractures, and the water outlet location can be judged according to the temperature change of the wellbore. By using the improved temperature prediction model, the DTS monitoring data of two-phase flow multistage fractured horizontal well in the tight reservoir has been calculated and analyzed, and the accurate production profile has been obtained.

中文翻译：

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致密油藏两相流多级压裂水平井温度预测模型

分布式温度传感 (DTS) 已用于裂缝参数诊断和流动剖面监测。在本文中，我们提出了一种预测致密油藏两相流多级压裂水平井温度剖面的新模型。均质油藏流动/传热模型扩展到致密油油藏-裂缝-井筒耦合流动/热模型。考虑了SRV面积对储层和井筒的影响，在改进模型中引入了焦耳-汤姆逊效应、热对流、热传导等参数。模拟了不同生产时间、不同含水率、不同入水位置的储层和井筒的温度分布。模拟结果表明，焦耳-汤姆逊效应会导致井筒温度升高；产水量较多的裂缝温度明显低于其他裂缝，可根据井筒温度变化判断出水位置。利用改进后的温度预测模型，对致密油藏两相流多级压裂水平井DTS监测数据进行计算分析，得到准确的生产剖面。