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[1]彭阳　戴志向　胡子夏　邓磊　杜艳　何京燃　别沁.天然气管道清管过程动态预测软件开发及应用[J].油气储运,2024,43(04):1-12.
　PENG Yang,Dai Zhixiang,HU Zixia,et al.Research and Application of Dynamic Prediction Technology for Pigging Process of Large Diameter and Long Distance Natural Gas Pipeline[J].Oil & Gas Storage and Transportation,2024,43(04):1-12.

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天然气管道清管过程动态预测软件开发及应用

《油气储运》[ISSN:1000-8241/CN:13-1093/TE] 卷: 43 期数: 2024年04期页码: 1-12 栏目: 出版日期: 2024-04-25

Title:: Research and Application of Dynamic Prediction Technology for Pigging Process of Large Diameter and Long Distance Natural Gas Pipeline

作者:: 彭阳　戴志向　胡子夏　邓磊　杜艳　何京燃　别沁

Author(s):: PENG Yang; Dai Zhixiang; HU Zixia; DENG Lei; DU Yan; HE Jingran; BIE Qin

关键词:: 天然气管道; 大口径; 清管过程; 动态预测; 软件开发; 现场应用

Keywords:: Large diameter; Long distance transportation; Natural gas pipeline; Pigging process; Dynamic prediction; Software development; Field application

分类号:: TE832

文献标志码:: A

摘要:: 【目的】中国骨干天然气管网包含多条大口径、长距离天然气管道，对于天然气长输管道开展周期性清管作业是保障其安全、平稳、高效运行的重要手段。目前，清管作业仍是利用设立监听点和依靠操作人员经验方法来开展，无法提前模拟清管方案，并预测清管器运行速度、运行位置、到达时间以及管内压力变化等参数。【方法】为此，根据实际天然气清管作业特点，构建清管过程动态预测数学模型并求解，开发了清管过程动态预测软件，并将其应用于某管道A—B、B—C、D—E输气管段的实际清管作业进行清管时间、清管速度的预测。【结果】结果表明：①基于改进的两相流瞬态清管模型和动态预测软件，能够准确预测清管过程中清管器运行速度、所处位置及到达各站时间等关键参数；②利用52次现场实际清管作业监测数据，验证了所用清管动态预测技术的准确性和软件的可靠性；③软件预测的清管时间、清管速度相较实测数据的平均相对误差分别为5.94%、6.56%。【结论】应用该天然气管道动态预测技术与操作软件，能够实现清管作业方案编制的高效性，降低清管人工负荷，保障清管过程的安全性，提升管道管理的智能化程度。

Abstract:: The pipeline network of more than 5,000 kilometers in the Sichuan province and Chongqing city includes many large diameter and long distance natural gas pipelines, and periodic pigging operations are important means to ensure their safe, stable and efficient operation. However, the current pigging operation is still carried out by setting up monitoring points and relying on the experience of operators. It is impossible to simulate the pigging plan in advance and accurately predict the speed, operation position, arrival time and pressure changes of the pig. Therefore, according to the characteristics of the actual natural gas pigging operation, the establishment and solution of the dynamic prediction mathematical model of the pigging process was completed, the dynamic prediction software was developed, and the pigging time and pigging speed of the pigging operation were calculated by using the software. The results show that: ① the software developed based on the improved two phase flow transient pigging model and dynamic prediction model can accurately predict the key parameters such as the running speed, location and arrival time of the pig in the actual pigging process; ② using the monitoring data of 52 actual pigging operations, the accuracy of the dynamic pigging prediction technology and the reliability of the software are verified; ③ the average relative errors of the pigging time and pigging speed predicted by the software compared with the measured data are 5.94% and 6.56%, respectively. The application of natural gas pipeline dynamic prediction technology and operation software can improve the efficiency of pigging operation plan preparation, reduce the manual pigging load, ensure the safety of the pigging process, and improve the intelligence of pipeline management.

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更新日期/Last Update: 2024-01-02