石小磊, 高德利, 王宴滨. 考虑耦合效应的高温高压气井井筒温压分布预测分析[J]. 石油钻采工艺, 2018, 40(5): 541-546. DOI: 10.13639/j.odpt.2018.05.001
引用本文: 石小磊, 高德利, 王宴滨. 考虑耦合效应的高温高压气井井筒温压分布预测分析[J]. 石油钻采工艺, 2018, 40(5): 541-546. DOI: 10.13639/j.odpt.2018.05.001
SHI Xiaolei, GAO Deli, WANG Yanbin. Predictive analysis on borehole temperature and pressure of HTHP gas wells considering coupling effect[J]. Oil Drilling & Production Technology, 2018, 40(5): 541-546. DOI: 10.13639/j.odpt.2018.05.001
Citation: SHI Xiaolei, GAO Deli, WANG Yanbin. Predictive analysis on borehole temperature and pressure of HTHP gas wells considering coupling effect[J]. Oil Drilling & Production Technology, 2018, 40(5): 541-546. DOI: 10.13639/j.odpt.2018.05.001

考虑耦合效应的高温高压气井井筒温压分布预测分析

Predictive analysis on borehole temperature and pressure of HTHP gas wells considering coupling effect

  • 摘要: 在气井的日常生产管理和动态设计分析中,温度和压力是两个非常重要的参数。依据动量、能量守恒定律与传质传热学基本原理,综合考虑影响温度和压力的因素,建立了测试温压分布耦合预测模型。该模型分为压力模型和温度模型2部分,在压力模型中考虑了井筒内流体重力、摩擦阻力以及动力变化的影响;在温度模型中,认为井筒中的传热是稳态传热,而地层中的传热是非稳态传热,并考虑了井筒热损失对温度产生的影响。采用四阶龙格-库塔法对该模型进行了耦合迭代求解,并利用四川某气田X井的实测数据进行了验证分析,以井底为基准分别对不同产量、不同气体相对密度和不同生产时间条件下井筒温度压力进行了敏感性分析,并对比分析了耦合模型与线性模型的预测结果。结果表明:随产量增加,井筒压力下降,温度升高;随气体密度增大,井筒压力降低,温度升高;随生产时间增加,井筒压力几乎保持不变,温度升高;井筒内温度沿井深呈非线性规律变化。该研究对选择合适性能的管柱和管柱安全作业具有指导意义。

     

    Abstract: Temperature and pressure are two important parameters for daily production management and dynamic design and analysis of gas wells. a coupled prediction model of temperature and pressure distribution was developed according to the laws of conservation of momentum and energy and the basic principles of mass transfer and heat transfer. In this model, the factors influencing temperature and pressure are taken into account comprehensively. The model is divided into two parts, i.e., pressure model and temperature model. In the pressure model, the effects of fluid gravity, friction resistance and dynamic variation inside the borehole are considered. In the temperature model, the heat transfer inside the borehole is treated as steady-state heat transfer while that in the strata is treated as unsteady-state heat transfer, and the effect of borehole heat loss on temperature is considered. Then, the model was coupling iteratively solved by means of fourth order Runge-Kutta method. Finally, the model was verified and analyzed by using the measured data of Well X in one certain gas field in Sichuan. Sensitivity analysis was conducted on borehole temperature and pressure with the bottom hole as the reference at different production rates, relative gas density and production time. And the prediction result of coupling model was compared with that of linear model. It is indicated that with the increase of production rate, borehole pressure drops and borehole temperature rises. With the increase of gas density, borehole pressure drops and borehole temperature rises. With the increase of production time, borehole pressure basically remains constant and borehole temperature rises. And borehole temperature changes nonlinearly with the well depth. The research results can be used as the guidance for the selection of pipe strings with suitable properties and the safe operation of pipe strings.

     

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