酸水系統(tǒng)碳鋼沖蝕規(guī)律及預(yù)測方法研究
[Abstract]:The erosion of acid water system in oil refining unit is a common failure form in the development process of crude oil deterioration, large-scale plant and harsh operation conditions. Especially with the increase of the processing proportion of crude oil with high sulfur, high acid and chlorine content, the flow corrosion failure of the acid water treatment system is very prominent, which seriously threatens the long period operation of the plant. In view of the frequent flow corrosion failure of acid water system, how to reveal its internal failure mechanism and establish a quantitative failure prediction method has been one of the focuses of academic and engineering circles. In this paper, the failure of the air-cooled outlet pipe at the top of the acid water stripping tower is studied. The failure morphology of the pipe is analyzed by using the methods of anatomical analysis, process simulation and flow state calculation. The physical parameters of multiphase flow and the equilibrium distribution of corrosive media in the outlet pipeline of air cooler are obtained. Combined with the flow state, the erosion failure mechanism of air cooler outlet pipeline system is revealed, and the corrosive medium composition of acid water system is discussed. The corrosive medium of multiphase flow was prepared. The erosion law of typical carbon steel was studied by means of Tafel polarization curve and SEM morphology analysis method. The concentration of NH4HS and the partial pressure of H _ 2S were obtained by measuring the concentration of NH4HS, the temperature and the partial pressure of H _ 2S. Under the influence of chloride ion content and wall shear stress, the corrosion product film and erosion characteristics of carbon steel are formed, the erosion experiment database is formed, the erosion rate prediction model of acid water system is constructed based on BP neural network, and the erosion experiment database is combined with the erosion experiment database. The erosion rate of acid water system can be predicted accurately. The results show that the NH4HS concentration of the air-cooled outlet pipeline system is high under typical operating conditions and the high velocity of flow is the main reason for the erosion thinning of the pipe wall. 2) the uneven distribution of the multiphase flow in the outlet leads to serious corrosion on the outside of the elbow and the inner side of the elbow, and the corrosive medium flows in the form of discontinuous liquid film, which makes the corrosion appearance of the wall as pit corrosion; 3) the erosion rate of carbon steel is affected by the double factors of corrosion reaction and corrosion medium diffusion. 4) when the corrosion product film is loose, the surface is porous, and the adhesion is poor, the wall shear stress is higher than the specific value. The erosion prediction model is used to predict the experimental results. The average error is less than 8.63%, and the prediction accuracy of the erosion model is high. It can be applied to predict corrosion rate of carbon steel pipes under other conditions. The innovation of this paper lies in the application of anatomical analysis, process simulation and flow state calculation to determine the erosion failure mechanism of acid-water system. Based on BP neural network, the erosion prediction model of acid-water system is established.
【學(xué)位授予單位】:浙江理工大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2015
【分類號(hào)】:TE986
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