Research on underground pipeline spatial positioning method based on multi-offset ground penetrating radar

Abstract Accurate prediction of the spatial location of underground pipelines is crucial to ensure the safe operation of pipelines. However, the traditional ground penetrating radar (GPR) relies too much on the image data quality and the detection personnel’s experience. It can only estimate the approximate location of the underground pipeline. The acquisition of electromagnetic wave velocity is an essential part of accurately interpreting the spatial location of underground pipelines. Therefore, this paper’s research proposes a data processing flow that can be applied to multi-offset GPR, including multiple stacks of the same target and interactive velocity spectrum. The accuracy and practicability of the method are verified by numerical simulation and field tests. The research shows that multiple stacks can effectively suppress noise and enhance the signal characteristics of deep targets. In the simulated data, traditional GPR distance errors for layered structures and pipelines are 0.06 m and 0.13 m. In comparison, the distance error of the method proposed in this paper is 0.019 m in layered structures, which is a reduction of 5.86% in relative error. The pipeline distance error is 0.029 m, and the relative error is reduced by 10.1%. The distance errors of traditional GPR and multi-offset GPR for pipelines in field tests were 0.15 m and 0.093 m, respectively, with a reduction of 8.77% in the relative error.

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Publication Details

Journal
Measurement Science and Technology
Published
2024-12-12
DOI
https://doi.org/10.1088/1361-6501/ad9e15
Citations
6
Primary Topic
Geophysical Methods and Applications
Type
article
Field-Weighted Citation Impact
2.01

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article

Research on underground pipeline spatial positioning method based on multi-offset ground penetrating radar

Fan Cui, Cheng Qi, Mengli Zhang, Ran Wang et al.
6 citations
Measurement Science and Technology
Geophysical Methods and Applications
2.01
article

Research on underground pipeline spatial positioning method based on multi-offset ground penetrating radar

Fan Cui, Cheng Qi, Mengli Zhang, Ran Wang, Xiaoling Zhang, Guixin Zhang
article en
6 citations

Abstract

Abstract Accurate prediction of the spatial location of underground pipelines is crucial to ensure the safe operation of pipelines. However, the traditional ground penetrating radar (GPR) relies too much on the image data quality and the detection personnel’s experience. It can only estimate the approximate location of the underground pipeline. The acquisition of electromagnetic wave velocity is an essential part of accurately interpreting the spatial location of underground pipelines. Therefore, this paper’s research proposes a data processing flow that can be applied to multi-offset GPR, including multiple stacks of the same target and interactive velocity spectrum. The accuracy and practicability of the method are verified by numerical simulation and field tests. The research shows that multiple stacks can effectively suppress noise and enhance the signal characteristics of deep targets. In the simulated data, traditional GPR distance errors for layered structures and pipelines are 0.06 m and 0.13 m. In comparison, the distance error of the method proposed in this paper is 0.019 m in layered structures, which is a reduction of 5.86% in relative error. The pipeline distance error is 0.029 m, and the relative error is reduced by 10.1%. The distance errors of traditional GPR and multi-offset GPR for pipelines in field tests were 0.15 m and 0.093 m, respectively, with a reduction of 8.77% in the relative error.

Measurement Science and TechnologyVol. 36(1)
China University of Mining and Technology (CN), China University of Geosciences (Beijing) (CN), China National Administration of Coal Geology (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Industry, innovation and infrastructure
Openalex Percentile: Top 14%
Geophysical Methods and Applications
2.01
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