石油化工腐蚀与防护
石油化工腐蝕與防護
석유화공부식여방호
PETROCHEMICAL CORROSION AND PROTECTION
2012年
2期
1-3
,共3页
刘德绪%梁法春%龚金海%赵景茂
劉德緒%樑法春%龔金海%趙景茂
류덕서%량법춘%공금해%조경무
高含硫气田%腐蚀速率%预测模型%神经网络
高含硫氣田%腐蝕速率%預測模型%神經網絡
고함류기전%부식속솔%예측모형%신경망락
high-sulfur gas field%corrosion rate%prediction model%artificial neural network
高含硫气田地面集输系统广泛使用L360钢,由于腐蚀因素的多样性及协同效应,其腐蚀速率预测一直是个难题。文章介绍了不同腐蚀因素对L360钢腐蚀速率的影响。随着H2S和CO2压力的增高,腐蚀速率先降后升,在H2S和CO2压力为1.00和0.67 MPa时达到最小值;随Cl-质量浓度的升高,腐蚀速率增大,但当Cl-质量浓度高于40 g/L后,腐蚀速率反而降低;随着温度的升高,腐蚀速率增大,当温度超过70℃后,腐蚀速率反而降低。建立了三层结构BP神经网络模型,输入层有6个神经元,分别代表H2S,CO2分压、Cl-质量浓度、温度、流速和沉积硫6种腐蚀影响因素,隐层神经元数目为8个,输出层神经元数目为1个,代表腐蚀速率。结果表明,L360钢在试验水中的平均腐蚀速率的预测最大误差在15.9%以内,可以满足工程应用要求。
高含硫氣田地麵集輸繫統廣汎使用L360鋼,由于腐蝕因素的多樣性及協同效應,其腐蝕速率預測一直是箇難題。文章介紹瞭不同腐蝕因素對L360鋼腐蝕速率的影響。隨著H2S和CO2壓力的增高,腐蝕速率先降後升,在H2S和CO2壓力為1.00和0.67 MPa時達到最小值;隨Cl-質量濃度的升高,腐蝕速率增大,但噹Cl-質量濃度高于40 g/L後,腐蝕速率反而降低;隨著溫度的升高,腐蝕速率增大,噹溫度超過70℃後,腐蝕速率反而降低。建立瞭三層結構BP神經網絡模型,輸入層有6箇神經元,分彆代錶H2S,CO2分壓、Cl-質量濃度、溫度、流速和沉積硫6種腐蝕影響因素,隱層神經元數目為8箇,輸齣層神經元數目為1箇,代錶腐蝕速率。結果錶明,L360鋼在試驗水中的平均腐蝕速率的預測最大誤差在15.9%以內,可以滿足工程應用要求。
고함류기전지면집수계통엄범사용L360강,유우부식인소적다양성급협동효응,기부식속솔예측일직시개난제。문장개소료불동부식인소대L360강부식속솔적영향。수착H2S화CO2압력적증고,부식속솔선강후승,재H2S화CO2압력위1.00화0.67 MPa시체도최소치;수Cl-질량농도적승고,부식속솔증대,단당Cl-질량농도고우40 g/L후,부식속솔반이강저;수착온도적승고,부식속솔증대,당온도초과70℃후,부식속솔반이강저。건립료삼층결구BP신경망락모형,수입층유6개신경원,분별대표H2S,CO2분압、Cl-질량농도、온도、류속화침적류6충부식영향인소,은층신경원수목위8개,수출층신경원수목위1개,대표부식속솔。결과표명,L360강재시험수중적평균부식속솔적예측최대오차재15.9%이내,가이만족공정응용요구。
L360 steel is widely used in gathering and transportation systems of the high-sulfur gas field.It is difficult to predict the corrosion rate due to many corrosion factors and their the synergistic effect.The impacts of different corrosion factors on the corrosion rate of L360 steel are studied.The results show that the corrosion rate of L360 steel falls initially,reaches the minimum at H2S/CO2=1.00/0.67(MPa),then increases gradually with the increase in the partial pressure of H2S/CO2.The corrosion rate increases with concentration of Cl-,and falls when the concentration of Cl-is over 40 g/L.The corrosion rate increases with the temperature and decreases when the temperature is over 70 ℃.A BP network of three layers has been developed.The input layer has six neurons,representing H2S partial pressure,CO2 partial pressure,Cl-concentration,temperature,chloride concentration,velocity and deposited sulfur respectively.The output layer has one neuron,representing corrosion rate.The neuron number of hidden layer is 8.The prediction results have shown that the maximum error is with 15.9%,which satisfies the requirements of the engineering