石油和天然气管道结构健康监测技术的综合研究

IF 5.7 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Vinamra Bhushan Sharma, Saurabh Tewari, Susham Biswas, Ashutosh Sharma
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引用次数: 1

摘要

一个广泛的管道网络在世界范围内广泛使用,将石油和天然气流体输送数百万公里。该管道通道的建设是为了抵抗环境动态载荷条件,提供安全可靠的油气流体从生产井场输送到海岸线上的储油站。然而,管道基础设施的破坏,如断裂、裂缝、泄漏等,是管道运行中经济损失的重要来源。此外,管道故障会造成相当大的生态灾难、人员死亡和经济损失。重要的研究计划已经致力于建立管道漏洞检测和定位,使用各种技术来避免这些威胁,并保持一个安全可靠的管道网络。本文综述了各种先进的损伤检测方法及其最新进展,并举例说明了光检测和测距在管道损伤检测中的应用。讨论了各种管网损伤检测方法的优缺点。管道损伤检测系统的研究空白也提供了更好的理解和未来的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A comprehensive study of techniques utilized for structural health monitoring of oil and gas pipelines
An extensive network of pipelines is extensively employed worldwide to carry oil and gas fluids over millions of kilometers. The pipeline channel was constructed to resist environmental dynamic loading conditions to provide safe and reliable oil and gas fluids transportation from the production well sites to depot stations installed at sea coastlines. However, pipeline infrastructure damages such as fractures, cracks, leakages, etc., are significant sources of economic losses in pipeline operations. Moreover, pipeline failures can cause considerable ecological catastrophes, human deaths, and financial loss. Important research initiatives have been committed to establishing pipeline breach detection and localization using various techniques to avoid these threats and maintain a secure and dependable pipeline network. This paper reviews different state-of-the-art damage detection methods and their recent advancement with a case study explaining the application of light detection and ranging for pipeline damage detection. The pros and cons of diverse damage detection methods in pipeline networks are also discussed. Research gaps for pipeline damage detection systems are also provided for better understanding and future research.
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来源期刊
CiteScore
12.80
自引率
12.10%
发文量
181
审稿时长
4.8 months
期刊介绍: Structural Health Monitoring is an international peer reviewed journal that publishes the highest quality original research that contain theoretical, analytical, and experimental investigations that advance the body of knowledge and its application in the discipline of structural health monitoring.
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