• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Reliability Engineering & System Safety >A modified method for the safety factor parameter: The use of big data to improve petroleum pipeline reliability assessment
【24h】

A modified method for the safety factor parameter: The use of big data to improve petroleum pipeline reliability assessment

机译：一种安全系数参数的改进方法：利用大数据改进石油管道可靠性评估

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Due to the potential severity of oil and gas pipeline accidents, accurate assessments on the reliability and viability of pipelines in the petroleum industry is of paramount importance. Nevertheless, the safety factor (SF) parameter in some well-established assessment standards are limited in their applications. This paper proposes a modified method for the SF parameter to better assess petroleum pipeline reliability. The proposed method improves upon current methods in that the SF is derived from multiple critical factors based on pipeline big data rather than the calculation of only the pressure of the pipeline. Data from an in-service pipeline is used as a case study to demonstrate how the proposed modified SF parameter is calculated. Comparative analysis with the existing method's results provide clear evidence that the proposed modification method is more accurate as it shows how the SF parameter changes according to different regional levels. This modified method, which incorporates Correlation Analysis, Mutual Information Principal Component Analysis (MIPCA), and Weighted Aggregated Sum Product Assessment (WASPAS), is in accordance with the widely accepted American Society of Mechanical Engineers (ASME) Manual for Determining the Remaining Strength of Corroded Pipelines (B31G-2012). With that said, the effectiveness of our modified method is directly related to the factors and case-based values being used. Therefore, although generally applicable to any pipeline, any form of SF analytics must be on a case-by-case basis.
机译：由于石油和天然气管道事故的潜在严重性，对石油行业中管道的可靠性和生存能力进行准确评估至关重要。但是，一些完善的评估标准中的安全系数（SF）参数在其应用中受到限制。本文提出了一种SF参数的改进方法，以更好地评估石油管道的可靠性。所提出的方法是对现有方法的改进，因为SF是基于管道大数据而不是仅基于管道压力的计算而从多个关键因素得出的。来自在役管道的数据用作案例研究，以演示如何计算建议的修正SF参数。与现有方法结果的比较分析提供了明确的证据，表明所提出的修改方法更准确，因为它显示了SF参数如何根据不同区域级别而变化。这种改进的方法结合了相关分析，互信息主成分分析（MIPCA）和加权总和产品评估（WASPAS），符合公认的美国机械工程师学会（ASME）手册，该标准确定了工件的剩余强度。腐蚀管道（B31G-2012）。话虽如此，我们修改后的方法的有效性与所使用的因素和基于案例的值直接相关。因此，尽管通常适用于任何管道，但任何形式的SF分析都必须视情况而定。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号