基于稀疏历史数据的管道段老化适应度评估方法

IF 1 Q4 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
T. Naraghi, M. Najib, A. S. Nobari, K. Nikbin
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引用次数: 0

摘要

适用性(FFS)评估是石油和天然气行业常用的评估方法,用于评估可能存在缺陷、金属减薄和点蚀的在役结构的完整性。然而,考虑到行业中未知或缺失信息的水平,确定性预测是不可接受的,并且下限值也可能是基本保守的。这项工作的目的是根据现有数据,制定一个通用流程,以确保老化天然气或石油管道段在一定程度上的运行安全和完整性。根据“API 579-1/ASME FFS-1”,使用局部金属损失和微裂纹进行维修程序的适用性,以预测运行约40年的老化管道的安全寿命范围。本评估的平均值预测表明,远离焊缝的缺陷在可接受的边界内,这意味着管道可以继续运行,并且至少有10年的剩余寿命,而焊缝附近的缺陷需要尽快修复。这是基于可用的无损检测和材料性能结果的最佳平均值。然而,在分析中采取极端谨慎的做法会使管道过时,随时可以更换。了解在这种情况下要承担的风险成为一个专家系统决策,不仅基于FFS分析,还基于定量历史数据、装载历史、环境导致的材料退化、腐蚀速率和冶金分析,以及从其他数据库和管道故障数据中收集的定性经验。除此之外,安全的选择是对有问题的管道长度进行全面的爆裂压力测试,以确定旧管道可能发生的泄漏。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fitness-for-Service Assessment Approach for Ageing Pipeline Section Based on Sparse Historical Data
Fitness-for-service (FFS) assessment is a common evaluation methodology in oil and gas industries to assess the integrity of in-service structures that may contain flaws, metal thinning and pitting damage. However, given the level of unknowns or missing information in the industry deterministic predictions are unacceptable and invariably the lower bound values could also be substantially conservative. The aim of this work is to develop a generic process to ensure, within a level of confidence, the operational safety and integrity of aging gas or oil pipelines sections based on available data. Fitness for service procedure according to “API 579-1/ASME FFS-1” is performed using local metal loss and micro-cracking to predict a range of safe life for the ageing pipeline operated for around 40 years. The mean value predictions of the present assessment indicate that the flaws away from the weld are within an acceptable boundary which implies the pipes would be fit to continue in operation and at least have 10 years remaining life, whilst the flaws near the weld need to be repaired as soon as possible. This is based on the best average values for the NDE and material property results available. However, adopting extreme caution in the analysis will render the pipes obsolete and ready for replacement. Understanding the risks to be taken in such situations becomes an expert system decision based not just on the FFS analysis but on both quantitative historical data, loading history, material degradation due to environment, corrosion rates and metallurgical analysis in addition to qualitative experience collected from other databases and pipes failure data. Beyond such a procedure the safe option would be a full burst pressure testing of the length of pipeline in question to identify possible leaks of old pipes.
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来源期刊
Journal of Multiscale Modelling
Journal of Multiscale Modelling MATHEMATICS, INTERDISCIPLINARY APPLICATIONS-
CiteScore
2.70
自引率
0.00%
发文量
9
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