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Corrosivity monitoring system for over the ground steel pipelines using RFID-based sensors.

机译:使用基于RFID的传感器对地面钢管道进行腐蚀监测。

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摘要

In the oil and gas industry, pipeline integrity is a serious concern due to the consequences of pipeline failure. External corrosion was identified as one of the main causes of pipeline failures worldwide. A solution that addresses the issue of detecting and quantifying corrosivity of environment for application to existing exposed pipelines has been developed. The proposed sensor consists of an electric circuit and a sensing array connected to the circuit. The sensing array is an assembly of strips made of a metal identical to that of the pipe, having the same length and width, but different thicknesses. The sensing array is exposed to the same environment as the pipe. As corrosion propagates in the metal strips of the array, it corrodes the metal until it finally breaks the metal strip apart resulting in a discontinuity in the circuit. The sensor circuit is energized using electromagnetic field, and its function is to indicate which strips in the array are fully corroded. Visual indication is provided to the operator via LEDs. The proposed sensor can be installed on existing pipelines without altering the pipe structure or disturbing the production process. It is passive and has low maintenance requirements. Circuit design was validated through lab experiments. Results obtained from experiments were consistent with simulation results.
机译:在石油和天然气工业中,由于管道故障的后果,管道完整性受到严重关注。外部腐蚀被认为是全球管道故障的主要原因之一。已经开发出一种解决方案,该解决方案解决了检测和量化环境的腐蚀性以应用于现有裸露管道的问题。所提出的传感器由电路和连接到该电路的感测阵列组成。感测阵列是由与管道相同的金属制成的条带的组合,具有相同的长度和宽度,但厚度不同。传感阵列暴露在与管道相同的环境中。当腐蚀在阵列的金属条中传播时,腐蚀金属,直到最终将金属条分开,导致电路不连续。传感器电路使用电磁场通电,其功能是指示阵列中的哪些条带被完全腐蚀。视觉指示通过LED提供给操作员。建议的传感器可以安装在现有管道上,而无需更改管道结构或干扰生产过程。它是被动的,维护要求低。通过实验室实验验证了电路设计。从实验获得的结果与模拟结果一致。

著录项

  • 作者

    Lawand, Lydia.;

  • 作者单位

    The Petroleum Institute (United Arab Emirates).;

  • 授予单位 The Petroleum Institute (United Arab Emirates).;
  • 学科 Mechanical engineering.
  • 学位 M.S.
  • 年度 2015
  • 页码 139 p.
  • 总页数 139
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:52:42

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