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Field data collection, evaluation and use for corrosivity prediction and validation of models -10 years review Part Ⅰ: Collection of reliable field data

机译:现场数据收集,评估和用于腐蚀性预测和模型验证-10年回顾第一部分:可靠的现场数据收集

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The reasons for which the field data is generally collected, the accuracy of the field data versus requirements of model validations, and the reasons why model validations were unsuccessful were explained in detail in the 2006 version of this paper. It was also mentioned that the lack of knowledge about possible impact of some important parameters, like small amount of H_2S and organic acids, on the corrosion rate makes the interpretation of the data often questionable. Other discussed issues were the mechanism of localized corrosion and calculation of the corrosion rate based on inspection and monitoring. Since 2006, no significant changes were reported and the conclusions of the 2006 paper are still valid. However, during the last 10 years the top of the line corrosion (TLC) became an important issue and this aspect was not covered by the 2006 paper. The present paper is dedicated to this subject. As there was neither TLC prediction model available on the market and nor published field experience on the subject, the author company decided to collect very detailed field data from different pipelines and fields. The collected field data was carefully analyzed and possible mechanisms were identified and confirmed by laboratory experiments. Influences of different parameters were experimentally confirmed as well. Finally, validated field data was extensively used for corrosivity prediction, corrosion control and even for the design of new pipelines. The data collection and analysis process lasted more than a decade until full mechanism is understood and validated, main parameters are fully identified and a reliable prediction model is available. The paper describes in details the way the field data is collected, analyzed, validated and used for different purposes mentioned above.
机译:一般在2006年版中详细说明了收集现场数据的原因,现场数据的准确性与模型验证的要求以及模型验证失败的原因。还提到缺乏对一些重要参数(例如少量的H_2S和有机酸)可能对腐蚀速率产生影响的知识,这常常使人们对数据的解释存有疑问。其他讨论的问题是局部腐蚀的机理以及基于检查和监测的腐蚀速率的计算。自2006年以来,没有报告有任何重大变化,并且2006年论文的结论仍然有效。但是,在最近的10年中,线腐蚀(TLC)的顶部成为一个重要问题,而这方面在2006年的论文中并未涉及。本论文致力于这一主题。由于市场上既没有TLC预测模型,也没有关于该主题的公开现场经验,因此作者公司决定从不同的管道和领域收集非常详细的现场数据。对收集到的现场数据进行了仔细分析,并通过实验室实验确定并确认了可能的机制。实验还证实了不同参数的影响。最后,经过验证的现场数据被广泛用于腐蚀性预测,腐蚀控制甚至新管道的设计。数据收集和分析过程持续了十多年,直到了解并验证了完整的机制,完全识别了主要参数并提供了可靠的预测模型为止。本文详细描述了收集,分析,验证和用于上述不同目的的现场数据的方式。

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