摘要
目的建立含硫管道腐蚀速率预测模型,为防腐工作的开展提供依据。方法基于熵权法(EWM)和灰色关联分析(GRA)理论,对影响含硫天然气集输管道腐蚀的18个影响因素进行关联度计算,确定腐蚀主要影响因素。针对主要影响因素,设计正交模拟实验,基于腐蚀机理和模拟实验结果,建立腐蚀速率预测模型。结果含硫管道腐蚀影响因素关联度最大的4个因素为H2S分压(0.7923)、CO2分压(0.6471)、温度(-0.6208)、液体流速(-0.6101),与腐蚀速率呈强相关。基于关联度分析结果,考虑H2S分压、CO2分压、温度、液体流速的影响,设计了4因素3水平共9组模拟实验,根据失重法计算得到腐蚀速率。基于腐蚀机理和实验数据,得到H2S/CO2共存条件下,考虑温度和液体流速影响的腐蚀预测模型。与实验结果对比,预测模型的相对误差在5%以内。结论对于该含硫管道,腐蚀速率的主要影响因素为H2S分压、CO2分压、液体流速、介质温度。基于腐蚀机理和模拟实验结果建立的腐蚀速率预测模型能较好地预测腐蚀速率,为现场防腐工作的开展提供参考依据。
To establish a corrosion rate prediction model for sulfur-containing pipelines and provide a basis for anti-corrosion work. Based on the Entropy Weight Method (EWM) and Grey Relational Analysis (GRA) theory, the correlation factors of 18 influencing factors affecting the corrosion of sulfur-containing natural gas gathering pipelines were calculated to determine the main influencing factors of corrosion. According to the main influencing factors, orthogonal simulation experiments were designed, and the corrosion rate prediction model was established based on the corrosion mechanism and simulation results. The four factors with the greatest correlation between the corrosion factors of sulfur-containing pipelines were: H2S partial pressure (0.7923), CO2 partial pressure (0.6471), temperature (–0.6208), and liquid flow rate (–0.6101), which were strongly correlated with corrosion rate. Based on the results of correlation analysis, considering the influence of H2S partial pressure, CO2 partial pressure, temperature and liquid flow rate, a total of 9 simulation experiments were carried out with 4 factors and 3 levels, and the corrosion rate was calculated according to the weight loss method. Based on the corrosion mechanism and experimental data, a corrosion prediction model considering the influence of temperature and liquid flow rate under the condition of H2S/CO2 coexistence is obtained. Compared with the experimental results, the relative error of the prediction model is within 5%. For the sulfur-containing pipeline, the main influencing factors of corrosion rate are H2S partial pressure, CO2 partial pressure, liquid flow rate, and medium temperature. The corrosion rate prediction model based on the corrosion mechanism and simulation results can predict the corrosion rate well and provide a reference for the on-site anti-corrosion work.
作者
陈迪
廖柯熹
何国玺
赵帅
CHEN Di;LIAO Ke-xi;HE Guo-xi;ZHAO Shuai(College of Proleum Engineering, Southwest Petroleum University, Chengdu 610500, China)
出处
《表面技术》
EI
CAS
CSCD
北大核心
2019年第6期268-273,共6页
Surface Technology
基金
国家自然科学基金(51674212)~~
关键词
熵权法
灰色关联分析
管道腐蚀
影响因素
权重计算
预测模型
entropy weight method
gray relative analysis method
pipe corrosion
influence factor
weight calculate
prediction model
