Magnetic Anomalies of Submarine Pipeline Based on Theoretical Calculation and Actual Measurement

Wang, Fangqi; Song, Yupeng; Dong, Lifeng; Changfei, Tao; Lin, Xubo

doi:10.1109/tmag.2019.2898951

Cited by 15 publications

(2 citation statements)

References 18 publications

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“…Since the direction of the measuring line is perpendicular to the direction of the underground iron pipeline, the measuring line azimuth angle η can be determined by the pipeline azimuth angle θ which is determined by the line connecting the peaks of the vertical magnetic field [15]. The background geomagnetic field can be regarded as a constant magnetic field in a small area and a short time [16]. The geomagnetic field which is perpendicular to the direction of the pipeline and is not affected by other magnetic anomalies can be regarded as a reference geomagnetic field [17,18].…”

Section: Theoretical Inversion Parametersmentioning

confidence: 99%

High-Precision Inversion of Buried Depth Inurban Underground Iron Pipelines Based on Am-Pso Algorithmfor Magnetic Anomaly

Wu¹,

Guo²

2020

PIER C

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Buried iron pipeline is an important part of urban infrastructure. In order to accurately obtain the location information of buried iron pipeline, here, we establish a forward model of magnetic anomaly in buried iron pipeline based on magnetic dipole reconstruction (MDR) method that determines four inversion parameters and two inversion objective functions. The vertical magnetic field data with different proportion noises are taken as observation values respectively to invert the parameters of underground pipeline and its location (buried depth) by using the AM-PSO (adaptive mutation particle swarm optimization) inversion algorithm. The errors of inversion and observation of vertical magnetic field are compared by substituting the inversion parameters into forward formulas. The results show that the AM-PSO inversion algorithm can accurately invert the pipeline depth, and the inversion error of the pipeline depth is less than 5%, which is acceptable in practical engineering. The inversion of the vertical magnetic field can basically coincide with the observed vertical magnetic field of the original model. At the same time, it is verified that the AM-PSO inversion algorithm is insensitive to magnetic anomaly noise data. In this study, the effectiveness of AM-PSO inversion algorithm method for pipeline depth inversion is analyzed, and an effective optimization inversion method is provided for underground iron pipeline depth inversion.

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Section: Theoretical Inversion Parametersmentioning

confidence: 99%

High-Precision Inversion of Buried Depth Inurban Underground Iron Pipelines Based on Am-Pso Algorithmfor Magnetic Anomaly

Wu¹,

Guo²

2020

PIER C

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“…In terms of pipeline magnetic anomaly modeling, Wang et al [17] deduced a theoretical calculation model of the total magnetic field anomaly of subsea pipelines based on the Poisson equation and concluded that the magnetic anomaly amplitude is linearly and positively correlated with the intensity of the background magnetic field, the square difference between the outer and inner pipe diameters, and the magnetic susceptibility, but is inversely proportional to the square of the measurement plane height. Wu and Wei [18] established the magnetic anomaly model of non-coplanar cross pipelines based on the principle of magnetic dipole reconstruction and analyzed the influence of pipeline parameters, geomagnetic parameters, cross angle and other factors on the magnetic anomaly of non-coplanar pipelines.…”

Section: Introductionmentioning

confidence: 99%

A localization method for subsea pipeline based on active magnetization

Huang¹,

Wang²,

Ma³

et al. 2022

Meas. Sci. Technol.

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Accurate localization of subsea pipelines is the prerequisite of real-time tracking and elaborate inspection by underwater robots. Magnetic anomaly generated by the ferromagnetic pipeline can be used to locate both uncover and buried pipelines. However, due to low signal ratio and model inconstancy under weak and variable ambient magnetization, there is still missing an intuitive and reliable pipeline localization method in order to realize pipeline tracking. This paper proposes a method capable of immediately and accurately locating pipelines via active magnetization and vertical magnetic measurement. Finite element simulation shows that magnet array can significantly enhance the magnetic anomaly, and the vertical magnetic component alone can accurately indicate pipeline position, avoiding the inconvenience of magnetic three-component alignment in field. It is experimentally demonstrated that magnetic detection SNR can be significantly increased by 5dB~20dB for a Φ219mm steel pipe by using the magnet array, and the max lateral positioning error is 0.03m and much smaller than that without magnet.

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Experimental Study on the Effect of the Stress on the Magnetic Field of the Submarine Steel

Zhou

Liu

et al. 2022

Lecture Notes in Electrical Engineering

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Magnetic Anomalies of Submarine Pipeline Based on Theoretical Calculation and Actual Measurement

Cited by 15 publications

References 18 publications

High-Precision Inversion of Buried Depth Inurban Underground Iron Pipelines Based on Am-Pso Algorithmfor Magnetic Anomaly

High-Precision Inversion of Buried Depth Inurban Underground Iron Pipelines Based on Am-Pso Algorithmfor Magnetic Anomaly

A localization method for subsea pipeline based on active magnetization

Experimental Study on the Effect of the Stress on the Magnetic Field of the Submarine Steel

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