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首页> 外文期刊>Applied Acoustics >Flow noise identification using acoustic emission (AE) energy decomposition for sand monitoring in flow pipeline
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Flow noise identification using acoustic emission (AE) energy decomposition for sand monitoring in flow pipeline

机译:使用声发射(AE)能量分解识别流噪声,以监测流管道中的沙子

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摘要

In pipelines used for petroleum production and transportation, sand particles may be present in the multi-phase flow of oil and gas and water. The Acoustic Emission (AE) measurement technique is used in the field of sand monitoring and detection in the oil and gas industry. However, as the AE signals recorded are strongly influenced by flow conditions in the pipe, identification of sand particle related signals or events remain a significant challenge in interpretation of AE signals. Therefore, a systematic investigation of sand particle impact AE energy measurements, using a sensor mounted on the outer surface of a sharp bend in a carbon steel pipe, was carried out in the laboratory to characterise flow signals using a slurry impingement flow loop test rig. A range of silica sand particles fractions of mean particle size (212-710 mu m) were used in the flow with particle nominal concentration between (1 and 5 wt.%) while the free stream velocity was changed between (4.2 and 14 ms(-1)).
机译:在用于石油生产和运输的管道中,油气,水的多相流中可能存在沙粒。声发射(AE)测量技术用于石油和天然气行业的砂土监测和检测领域。但是,由于记录的AE信号受管道中流动条件的强烈影响,因此与沙粒相关的信号或事件的识别仍然是解释AE信号的重大挑战。因此,在实验室中,使用安装在碳钢管急弯处的外表面上的传感器,对沙粒冲击AE能量测量进行了系统研究,以使用泥浆冲击流回路试验台表征流量信号。在流中使用了一系列平均粒度为(212-710μm)的硅砂颗粒级分,颗粒标称浓度为(1-5%重量),而自由流速度在(4.2-14ms)之间变化-1))。

著录项

  • 来源
    《Applied Acoustics》 |2018年第2期|5-15|共11页
  • 作者单位

    Robert Gordon Univ, Sch Engn, Aberdeen AB10 7GJ, Scotland;

    Heriot Watt Univ, Sch Engn & Phys Sci, Edinburgh EH14 4AS, Midlothian, Scotland;

    Robert Gordon Univ, Sch Engn, Aberdeen AB10 7GJ, Scotland;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Acoustic Emission (AE); Sand monitoring; Slurry; Flow noise;

    机译:声发射(AE);沙尘监测;泥浆;流噪声;

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