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<p>This study addresses the leakage detection requirements for oil and gas gathering pipelines by employing the Alternating Current Voltage Gradient (ACVG) method combined with COMSOL Multiphysics for finite element simulation. It systematically investigates the characteristics of electric potential distribution for pipelines with coating defects. A three-dimensional model of a buried pipeline was established to analyze the effects of leakage status, coating penetration degree, pipeline burial depth, leakage area, and the distance between the leakage point and the signal injection point on the surface electric potential distribution. The simulation results demonstrate that the surface electric potential decays exponentially with increasing pipeline burial depth and leakage point distance, while it significantly enhances with the expansion of the leakage area. Addressing the gap in quantitative, multi-parameter analysis of ACVG detection, this study establishes a comprehensive 3D finite-element framework. It&#xa0;not only simulates but also quantifies&#xa0;the coupled influence of burial depth, defect size, and source distance on signal strength,&#xa0;providing new insights&#xa0;that transcend the limitations of conventional 2D or isolated-factor models. The outcomes offer direct simulation support for parameter optimization and decision-making in pipeline integrity management.</p>

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Comprehensive Simulation Analysis of Underground Metal Pipeline Leakage Detection Based on ACVG Method

  • 期刊论文

  • 发表日期：

    2026年2月2日

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  • Yu Dong,
  • Wei Yan,
  • Tianxiang Li,
  • Ruixin Bao,
  • Jianmin Ren,
  • Shengnan Xu,
  • Jian Zhu,
  • Xiangguang Sun,
  • Jun Zhang,
  • Kaiji Guan,
  • Haoye Yang

摘要

This study addresses the leakage detection requirements for oil and gas gathering pipelines by employing the Alternating Current Voltage Gradient (ACVG) method combined with COMSOL Multiphysics for finite element simulation. It systematically investigates the characteristics of electric potential distribution for pipelines with coating defects. A three-dimensional model of a buried pipeline was established to analyze the effects of leakage status, coating penetration degree, pipeline burial depth, leakage area, and the distance between the leakage point and the signal injection point on the surface electric potential distribution. The simulation results demonstrate that the surface electric potential decays exponentially with increasing pipeline burial depth and leakage point distance, while it significantly enhances with the expansion of the leakage area. Addressing the gap in quantitative, multi-parameter analysis of ACVG detection, this study establishes a comprehensive 3D finite-element framework. It not only simulates but also quantifies the coupled influence of burial depth, defect size, and source distance on signal strength, providing new insights that transcend the limitations of conventional 2D or isolated-factor models. The outcomes offer direct simulation support for parameter optimization and decision-making in pipeline integrity management.