霜冻地区输油管道温度预测

N. A. Garris, A. V. Zhurikhina, S. Shamov
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引用次数: 0

摘要

霜冻地区的管道作业是当今社会必不可少的一件事。沿管道长度方向冻土低温剖面的变化导致管道工况的变化。这就是为什么正确预测和建模热工系统以及评估管道状况对于维持管道的正确定位和防止事故至关重要的原因。这就是为什么本文描述了一种简单的预测方法。它基于热平衡方程,其中描述管道向环境传热的系数k认为土壤达到技术状态。利用一条运行中的非等温管道在调试后2年内的实际效率和温度数据,得出系数k的实际值。管道类型-地下,绝缘,初始汽油温度高达45°С。使用Shukhov公式,可以计算系数k的平均值。根据该系数,我们可以得出预测值,并得到以下数据:温度分布,管道特定点和横截面的温度值,解冻面积,管道关键位置。该方法可以及时评估永久冻土中管道的状况。结果不仅可用于某一特定管道的热工水力预报,也可用于北方其他管道的热工水力预报。当考虑到解冻区域的实际大小时,它还允许评估管道关键部分的状况。
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TEMPERATURE PREDICTION OIL PIPELINE IN FROST AREAS
Pipeline operation in frost areas is essential thing in the present days. Changes of low-temperature profile of frozen soil along the length of a pipeline lead to changing conditions of the pipeline. That’s why it is vital to properly forecast and model thermo-hydraulics regimes and evaluate pipeline conditions to sustain correct positioning of the pipeline and to prevent incidents. That’s why this paper describes a simple forecasting method.  It is based on heat balance equation, where coefficient k describing heat transfer from a pipeline to the environment considers that soil gets to technogenic state. Actual efficiency and temperature data from an active non-isothermal pipeline over 2 years period after its commissioning are used to derive actual value of the coefficient k. Pipeline type – underground, insulated, initial petrol temperature is up to 45 °С. Using Shukhov’s formula it is possible to calculate average value of the coefficient k. Based on this coefficient we can then derive forecasted values and get the following data: temperature profile, temperature value at specific points and cross sections of a pipeline, thawing area, critical locations of a pipeline. This method allows to timely evaluate conditions of a pipeline in permanent frost soil. Results can be used to forecast and predict thermo-hydraulics regimes not only for a specific pipeline but also for other Northern ones. It also allows to evaluate conditions of critical parts of a pipeline when taking in account actual size of thawing areas.
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来源期刊
CiteScore
0.80
自引率
50.00%
发文量
41
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