【摘要】 在苏南区块输气干线的清管作业中，清管作业时长及清管器运行速度的预测值与实际监测数据之间平均误差高达35%,对下游收球作业造成安全隐患。为提高预测准确度，基于OLGA软件建立了苏南某输气干线多相流仿真清管模型。该模型可模拟分析清管器速度、管道温度与压力变化以及清管作业时长等关键参数。针对目标干线，将现场相关实测数据导入仿真模型进行模拟分析，通过将现场实测的多条管线清管作业数据与模型模拟结果进行对比分析，结果表明该模型预测值与实际监测数据之间的误差控制在5%左右，显著优于传统方法。研究成果提升了苏南气田输气干线清管作业的科学性与可控性，为相关作业提供了重要的理论支撑与技术参考。更多还原

【Abstract】 During pigging operations on the gas transmission trunk line in the southern Jiangsu block, the average discrepancy between predicted values for pigging duration and pigging operating speed with actual monitoring data reached 35%, which posed safety risks to downstream ball retrieval operations. To enhance prediction accuracy, a multiphase flow simulation cleaning model for a gas transmission trunk line in southern Jiangsu was established based on OLGA software. This model could simulate and analyze key parameters such as pigging velocity, pipeline temperature and pressure changes, and pigging duration. For the target trunk line, the relevant field measurement data were imported into the simulation model for analysis. By comparing the model’s simulated results with actual pigging operation data from multiple pipelines, the results showed that the error between the model predictions with actual monitoring data was controlled within approximately 5%, which significantly outperformed the traditional methods. The research findings enhanced the scientific rigor and controllability of pipeline cleaning operations on the gas transmission trunk line in the southern Jiangsu gas field, and provided crucial theoretical support and technical reference for related operations.更多还原