High Power Laser and Particle Beams, Volume. 31, Issue 7, 70012(2019)

Geodetic interface algorithm for evaluating geomagnetic storms in pipelines

Liang Zhishan1,*... Cheng Wei1, Yu Yang1, Zuo Xin1, Bi Wuxi2 and Lan Wei2 |Show fewer author(s)
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  • 1[in Chinese]
  • 2[in Chinese]
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    Pipeline corrosion is easily aggravated at the boundary of the earth’s electrical structure. The pipeline passing through the earth interface is subject to greater risk of geomagnetic storm disaster at the demarcation point. The algorithm in this paper can be used to evaluate the self-evaluation description of geomagnetic storm disaster risk for oil and gas pipelines. This paper holds that the improved algorithm’s Parkinson vector is more accurate than the traditional algorithm’s Parkinson vector in locating the geodetic interface. On the premise that the earth’s interface can be identified,the azimuth of the improved algorithm’s Parkinson vector will change from ±180°to 0° or 0°to ±180°near the interface, and the closer to the interface, the azimuth can better reflect the inclination of the earth interface, and the length reaches the minimum value at the boundary point. Factors such as conductivity difference between adjacent plots, the frequency of current sources and the angle between the earth’s interface and the line direction will affect the distribution characteristics of the improved algorithm’s Parkinson vector. The azimuth map and length map can be used to locate the pipeline through the interface position. There is a virtual interface between adjacent earth’s interfaces, which needs analysis and exclusion. The simulation results show that these conclusions are correct and have important guiding significance for pipeline protection.

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    Liang Zhishan, Cheng Wei, Yu Yang, Zuo Xin, Bi Wuxi, Lan Wei. Geodetic interface algorithm for evaluating geomagnetic storms in pipelines[J]. High Power Laser and Particle Beams, 2019, 31(7): 70012

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    Paper Information

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    Received: Apr. 19, 2019

    Accepted: --

    Published Online: Jul. 31, 2019

    The Author Email: Zhishan Liang (1972601365@qq.com)

    DOI:10.11884/hplpb201931.190119

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