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首页> 外文期刊>Petroleum Science and Technology >The Prediction of Distribution of Temperature, Pressure, Density, and Velocity in High-Temperature-High-Pressure Gas Wells
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The Prediction of Distribution of Temperature, Pressure, Density, and Velocity in High-Temperature-High-Pressure Gas Wells

机译:高温高压气井中温度,压力,密度和速度分布的预测

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摘要

In this article, we present a coupled system model of differential equations concerning pressure, temperature, density, and velocity in high-temperature-high-pressure wells, according to mass, momentum, and energy balances. We present an algorithm solution model, along with the fourth-order Runge-Kutta method. The basic data of well X (high-temperature-high-pressure gas well), 7,100 m deep, in China, is used for case history calculations and a sensitivity analysis is made for the model. Gas pressure, temperature, velocity, and density curve graphs along the depth of the well are plotted with different outputs, intuitively reflecting the gas flow law and the characteristics of heat transfer along a formation. The results can provide technical reliability in the process of designing well tests in high-temperature-high-pressure gas wells and a dynamic analysis of production.
机译:在本文中,我们根据质量,动量和能量平衡,给出了高温-高压井中涉及压力,温度,密度和速度的微分方程的耦合系统模型。我们提出了一种算法解决方案模型,以及四阶Runge-Kutta方法。 X井(高温高压气井)在中国的深度为7,100 m,用于案例历史计算,并对模型进行敏感性分析。沿井深的气体压力,温度,速度和密度曲线图以不同的输出绘制,直观地反映了气体流动规律和沿地层的传热特性。该结果可为设计高温高压气井的试井过程和动态生产分析提供技术可靠性。

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