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首页> 外文会议>CORROSION/2004 Research Topical Symposium on Corrosion Modeling for Assessing the Condition of Oil and Gas Pipelines; 2004; >Determining Corrosion Rates and Assessing Future Pipeline Reliability from ILI Data
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Determining Corrosion Rates and Assessing Future Pipeline Reliability from ILI Data

机译：根据ILI数据确定腐蚀率并评估未来管道的可靠性

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摘要

When it comes to pipeline integrity and corrosion, the two most important questions to a pipeline operator are how severe the corrosion is, and how quickly the integrity of the pipeline is deteriorating. In-line inspection (ILI) tools are an invaluable source for answering the first question, and they can be effectively used to address the second as well. ILI tools excel at providing detailed information about the size and location of corrosion and other types of anomalies on a pipeline. Areas with severe corrosion which could compromise pipeline integrity are identified and subsequently repaired. Because the condition of a pipeline is not a static state however, corrosion that is not immediately addressed will continue to grow and may pose a threat to pipeline integrity. When multiple sets of ILI data are available, corrosion rates can be assessed for every identified anomaly on a pipeline. Site specific corrosion rates can then be utilized to determine how quickly those remaining corrosion anomalies will deteriorate to an unacceptable level, and appropriate, timely remediation activities can be scheduled. Identifying active corrosion is also a necessary step for isolating those areas where corrosion mitigation activities are breaking down, and facilitates a proactive approach to addressing corrosion before it becomes severe. Potentially, corrosion rate analysis from ILI data and other pipeline integrity methods such as direct assessment (DA) can be integrated into a mutually beneficial model, each providing valuable feedback that helps refine the other. This paper presents an overview of the assessment of corrosion rates from in-line-inspection (ILI) data on pipelines. It reviews 1. Methods of calculating corrosion rates, 2. Identifying active corrosion, 3. Predicting future corrosion severity, 4. Calculating risk and reliability, 5. Assessing re-inspection intervals, 6. An integrated approach to integrity management for the future.
机译：在管道完整性和腐蚀方面，管道运营商面临的两个最重要的问题是腐蚀的严重程度以及管道完整性恶化的速度。在线检查（ILI）工具是回答第一个问题的宝贵资源，它们也可以有效地用于解决第二个问题。 ILI工具擅长提供有关管道上腐蚀和其他类型异常的大小和位置的详细信息。确定并随后修复严重腐蚀可能损害管道完整性的区域。但是，由于管道的状况不是静态，因此无法立即解决的腐蚀将继续增长，并可能对管道完整性造成威胁。当有多组ILI数据可用时，可以评估管道上每个已识别异常的腐蚀速率。然后可以利用特定地点的腐蚀速率来确定那些剩余的腐蚀异常将以多快的速度恶化到不可接受的水平，并可以安排适当的及时补救措施。识别主动腐蚀也是隔离腐蚀缓和活动中断的那些区域的必要步骤，并有助于在腐蚀变得严重之前采取主动措施来解决腐蚀问题。潜在地，可以将来自ILI数据的腐蚀速率分析和其他管道完整性方法（例如直接评估（DA））集成到互惠互利的模型中，每种模型都提供了宝贵的反馈，可以帮助彼此完善。本文概述了根据管道内在线检查（ILI）数据评估腐蚀速率的过程。它回顾了1.计算腐蚀速率的方法，2.识别主动腐蚀，3.预测未来的腐蚀严重程度，4.计算风险和可靠性，5.评估重新检查间隔，6.集成式完整性管理方法。

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