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USING STATISTIC METHOD TO CALCULATING AND MONITORING THE CORROSION RATE OF PETROLEUM PROCESS PIPING

机译:利用统计方法计算和监测石油工艺管道腐蚀速率

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In chemical plants and most refineries, some process piping is suffered from metal thinning. Take carbon steel piping for example, each component such as elbow, tee, direct piping, branches, reducers are suffered thinning no matter the piping is still in using or not. So, with an eye to personal safety and smooth operation held in the chemical plants and refineries, every effort put in the inspections should be correctly getting knowledge about the deterioration conditions.Normally, to check the piping thinning condition is to perform the ultrasonic thickness spot gauging at each component of the piping. Through the thickness reading, inspectors could get the information about the piping remaining thickness, calculate the corrosion rate, and evaluate the remaining life at each part of the piping spools. However, when one puts an eye on the piping inspection management and deterioration conditions about the piping system in the operating unit, the variation condition of the inspection thickness data, in some view points, always play an important part as corrosion information hidden in the thickness data group. Besides, by considering the variation condition of the thickness data, the inspectors can get a more conservative and satisfactory corrosion rate data about the whole piping spool. By plotting the histogram of the corrosion data; inspectors can get a more clear idea about the deterioration condition of the whole operating unit.In this paper, the ultrasonic thickness survey is reported from the pre-selected susceptible areas of deterioration such as the injection points, elbow, tee etc. (as suggested by the API 570 Code and the API recommended practice 574). After collecting the thickness readings, the statistic skill is used to evaluate the corrosion rate of each piping spool in the operating unit. After the statistic calculations, the inspectors can analyze the evaluated corrosion rate data by plotting the histogram of the evaluated upper bound corrosion rate values. With the trend shown in the histogram, the inspectors can easily get knowledge about the deteriorating condition of the operating unit.Finally, in order to discuss the feasibility of the proposed method, the inspection data of two piping spools will be used as the examples. Also, a site survey result performed in the lubricant rerun unit shows the effectiveness of this statistic calculation method.
机译:在化工厂和大多数炼油厂中,一些工艺管道遭受金属稀释。采取碳钢管道,例如,无论管道仍在使用,每个部件如弯头,三通,直接管道,分支,减速剂都遭受稀疏。因此,随着化学植物和炼油厂举行的个人安全和平稳操作,应对检查中的每一项努力都应该正确地了解劣化条件的知识。夜间,检查管道变薄条件是执行超声波厚度点在管道的每个部件上测量。通过厚度读取,检查员可以获得有关管道剩余厚度的信息,计算腐蚀速率,并评估管道线轴的每个部分的剩余寿命。然而,当在操作单元中对管道系统的管道检验管理和恶化条件进行了眼睛时,在一些视点中,检查厚度数据的变化条件总是作为隐藏在厚度中的腐蚀信息的重要组成部分数据组。此外,通过考虑厚度数据的变化条件,检查员可以获得关于整个管道阀芯的更保守和令人满意的腐蚀速率数据。通过绘制腐蚀数据的直方图;检查员可以更明确地了解整个操作单元的恶化条件。本文报告了超声厚度调查,从预先选择的易感区域,例如注射点,肘部,三通等(如图所示)通过API 570代码和API推荐的练习574)。在收集厚度读数之后,统计技术人员用于评估操作单元中的每个管道轴的腐蚀速率。在统计计算之后,检查器可以通过绘制评估的上限腐蚀速率值的直方图来分析评估的腐蚀速率数据。通过直方图所示的趋势,检查员可以容易地了解操作单元的恶化条件的知识。最后,为了讨论所提出的方法的可行性,将使用两个管道线轴的检查数据作为示例。此外,在润滑剂重新运行单元中执行的站点调查结果显示了这种统计计算方法的有效性。

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