[1]刘 志.doi: 10.3969/j.issn.1001-3849.2025.11.014结合ECE和LedaFlow的油气集输管道内[J].电镀与精饰,2025,(11):100-107.
　Liu Zhi.The influence factors of internal corrosion in oil and gas gathering and transportation pipelines combined with ECE and LedaFlow[J].Plating & Finishing,2025,(11):100-107.
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doi: 10.3969/j.issn.1001-3849.2025.11.014结合ECE和LedaFlow的油气集输管道内()

《电镀与精饰》[ISSN:1001-3849/CN:12-1096/TG]

卷:
期数:
2025年11
页码:
100-107
栏目:
出版日期:
2025-11-30

文章信息/Info

Title:
The influence factors of internal corrosion in oil and gas gathering and transportation pipelines combined with ECE and LedaFlow
作者:
刘 志
腐蚀影响因素研究刘 志(江苏旅游职业学院, 江苏 扬州 225000)
Author(s):
Liu Zhi
(Jiangsu Tourism Vocational College, Yangzhou 225000China)
关键词:
集输管道; 内腐蚀; 电子腐蚀工程师(ECE)软件; LedaFlow; 影响因素
Keywords:
gathering and transportation pipeline;  internal corrosion;  electronic corrosion engineer(ECE) software; LedaFlow: influencing factor
分类号:
TE988
文献标志码:
A
摘要:
针对油气集输管道长期运行过程中存在的内腐蚀风险高、影响因素复杂的问题，同时为提升其运行安全性，采用电子腐蚀工程师与LedaFlow软件相结合的多源数据融合分析方法，分析了电化学因素与流场因素对管道腐蚀速率的影响。该方法通过获取电位、电流密度、电解质浓度、流速与压力等参数，构建综合关联度分析模型，对各影响因素的作用强度进行量化。结果表明：在典型原油与天然气混输工况下，电位、电流密度和电解质浓度的回归系数分别为0.45、0.32和0.25，权重系数分别为0.36、0.26和0.20，均高于流速的0.09和压力的0.06。采用电子腐蚀工程师与LedaFlow协同建模方法可有效识别腐蚀主控因子，并为油气集输管道的科学防腐设计与运维策略制定提供理论支持和技术参考。
Abstract:
In response to the high risk of internal corrosion and complex influencing factors in the long-term operation of oil and gas gathering and transportation pipelines, and to improve their operational safety, a multi-source data fusion analysis method combining electronic corrosion engineers and LedaFlow software was adopted to analyze the influence of electrochemical and flow field factors on pipeline corrosion rate. This method constructs a comprehensive correlation analysis model by obtaining parameters such as potential, current density, electrolyte concentration, flow rate, and pressure, and quantifies the strength of each influencing factor. The results show that under typical mixed transportation conditions of crude oil and natural gas, the regression coefficients of potential, current density, and electrolyte concentration are 0.45, 0.32, and 0.25, respectively, and the weight coefficients are 0.36, 0.26, and 0.20, respectively, all higher than 0.09 for flow rate and 0.06 for pressure. The collaborative modeling method of electronic corrosion engineers and LedaFlow can effectively identify the main control factors of corrosion, and provide theoretical support and technical reference for the scientific anti-corrosion design and operation strategy formulation of oil and gas gathering and transportation pipelines

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更新日期/Last Update: 2025-11-20