石油化工安全环保技术 ›› 2025, Vol. 41 ›› Issue (3): 54-58.

• 事故分析与预防 • 上一篇    

基于临界腐蚀深度的原油长输管道清管周期优化研究

胡康   

  1. 中石化西北油田分公司油气运销部,新疆 轮台 841600
  • 收稿日期:2025-01-04 接受日期:2025-05-15 出版日期:2025-06-20 发布日期:2025-07-09
  • 作者简介:胡康,男, 2017 年毕业于中国石油大学(华东)油气储运工程,硕士,现从事油气储运管理相关工作,工程师。 E-mail : 303399310@qq.com。

Research on Pigging Cycle Optimization for Long-Distance Crude Oil Pipeline Based on Critical Corrosion Depth

Hu Kang   

  1. Oil and Gas Sales Department, SINOPEC Northwest Oilfield Company, Luntai, Xinjiang, 841600
  • Received:2025-01-04 Accepted:2025-05-15 Online:2025-06-20 Published:2025-07-09

摘要: 西北油田分公司某原油管道已连续运行近 15 年,期间未曾开展过管道清管工作。为明确该管道的最优清管周期,在首次清管后采用内检测技术获取管道的变形、腐蚀等数据,并从管道临界腐蚀深度、极限承压能力以及运行经济性三个角度出发,最终确定了最优的清管周期。结果表明,通过腐蚀进展公式及有限元分析的方法,计算出管道的剩余寿命分别为 7.12 年和 5.02 年。此外,从管道运行经济性的角度考虑,在管道运行 5 年后进行清管作业可降本约 25 万元。因此,最终确定该原油管道的清管周期为 5 年。清管周期的确定可为该原油长输管道后期维护提供科学依据。

关键词: 长输管道, 有限元分析, 临界腐蚀深度, 清管周期优化

Abstract: A crude oil pipeline of Northwest Oilfield Company has been in continuous operation for nearly 15 years, during which pipeline pigging has not been carried out. In order to determine the optimal pigging cycle of the pipeline, the internal detection technology was adopted to obtain the deformation and corrosion data of the pipeline after the first pigging. And the optimal pigging cycle was finally determined from the perspectives of critical corrosion depth, ultimate bearing capacity and operation economy. The results show that the remaining life of the pipeline is 7.12 years and 5.02 years respectively by calculations from the corrosion progress formula and finite element analysis method. In addition, from the perspective of pipeline operation economy, pigging operation after 5 years of pipeline operation can reduce the cost by about 250000 yuan. Therefore, the pigging cycle of the crude oil pipeline is finally determined to be 5 years. The determination of pigging cycle can provide a scientific basis for the later maintenance of the long-distance crude oil pipeline.

Key words: long-distance pipeline, finite element analysis, critical corrosion depth, optimization of pipeline pigging cycle