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[1]吕宇玲 姜振河 李晓伟 石家凯 曹华平.某气田集气管道流动仿真模拟算法[J].油气储运,2025,44(04):1-14.
LYU Yuling,JIANG Zhenhe,LI Xiaowei,et al.Flow simulation algorithm for gas gathering pipelines of a gas field[J].Oil & Gas Storage and Transportation,2025,44(04):1-14.
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LYU Yuling,JIANG Zhenhe,LI Xiaowei,et al.Flow simulation algorithm for gas gathering pipelines of a gas field[J].Oil & Gas Storage and Transportation,2025,44(04):1-14.
某气田集气管道流动仿真模拟算法
《油气储运》[ISSN:1000-8241/CN:13-1093/TE]
卷:
44
期数:
2025年04期
页码:
1-14
栏目:
出版日期:
2025-04-25
- Title:
- Flow simulation algorithm for gas gathering pipelines of a gas field
- Keywords:
- gas gathering pipeline; simulation algorithm; hydraulic calculation; thermodynamic calculation; prediction of liquid loading
- 分类号:
- TE832
- 文献标志码:
- A
- 摘要:
- [目的]某气田开采进入中后期，气井产液量逐渐增多，管道内流动介质的持液率升高，由此导致的集气管道局部积液、季节性冻堵等问题将严重影响气田产量与安全生产。探究集气管道内流体沿程流动规律，预测管内积液情况，对集气管道的安全运行、提高集气效率具有重要意义。[方法]结合某气田现场生产资料与多相流理论，建立集气管道水力计算模型与热力计算模型，提出一种集气管道流动仿真模拟算法，通过管道特征识别与离散、流动参数初始化、物性数据库调用等环节求解管内任意截面流体流型、持液率、压力、温度等流动状态。并将该仿真算法对该气田的部分集气管道两端压差的计算结果、主流商业软件OLGA计算结果与气田现场的实测数据进行对比，验证该集气管道流动仿真算法的准确性。最后采用该仿真算法预测该气田某集气管道的积液情况。[结果]该算法压差计算结果的MRE为0.101，OLGA软件计算结果的MRE为0.267，与OLGA软件相比，该算法的计算结果更贴近于现场实测值。在此基础上，改变混合物的质量流量、含水率、出站温度等条件，分析获得集气管道内流型、压力、持液率的变化规律。利用该算法预测14#站—15#站间集气管段积液情况，该管道最大持液率为0.4，积液问题严重，应采取相应处理措施，以免产生危险工况。[结论]该算法对研究集气管道的流动特性与积液预测具有实践意义，气田企业工程技术人员可利用该算法对现场管道进行工艺模拟计算，从而制定合理的积液处理计划与方案，避免发生危险工况。该算法是打破国外商业软件垄断的一次有益尝试，下一步应在其他气田区块进行调试验证，提高该算法的通用性与稳定性。
- Abstract:
- [Objective] During the later stages of gas field exploitation, liquid production from gas wells increases, leading to higher liquid holdup of the flowing medium in the pipeline. This causes many issues such as local liquid loading and seasonal freezing blockage, making significant impact on gas field production and safety. Investigating fluid flow dynamics in gas gathering pipelines and predicting liquid loading are crucial for ensuring safe operations and enhancing gas gathering efficiency. [Methods] By integrating production data from a gas field with multiphase flow theory, hydraulic and thermodynamic calculation models were developed for gas gathering pipelines. A simulation algorithm was then proposed to analyze flow conditions, including fluid patterns, liquid holdup, pressure, and temperature at any cross-section of the pipeline. This was achieved through steps such as pipeline feature identification and discretization, flow parameter initialization, and physical property database calling. The accuracy of the flow simulation algorithm for gas gathering pipelines was verified by comparing the calculation results of pressure difference at both ends of several gas gathering pipelines in this gas field with results from the mainstream commercial software OLGA and the corresponding field measurement data. Finally, the simulation algorithm was employed to predict liquid loading in a gas gathering pipeline of this gas field. [Results] The mean relative error (MRE) of the pressure difference calculated by this algorithm was 0.101, compared to 0.267 for OLGA software. The results obtained from this algorithm were closer to the field measurements than those from OLGA. Building on this, the flow pattern, pressure, and liquid holdup in the gas gathering pipeline were analyzed with varied conditions of mixture’s mass flow rate, moisture content, and outlet temperature, etc. This algorithm was utilized to predict liquid loading in the gas gathering pipeline segment between Stations 14# and 15#. The maximum liquid holdup was 0.4, indicating a significant issue with liquid loading that necessitated appropriate measures to prevent hazardous working conditions. [Conclusion] This algorithm has practical significance for analyzing flow characteristics and predicting liquid loading in gas gathering pipelines. Engineering technicians in gas field enterprises can utilize this algorithm for on-site process simulation calculations, enabling them to develop effective plans for liquid loading treatment and mitigate hazardous working conditions. This algorithm represents a valuable effort to challenge the monopoly of foreign commercial software. The next step should involve debugging and validating it in other gas field blocks to enhance its versatility and stability.
更新日期/Last Update:
2024-12-30