Summary

We develop a site-specific probabilistic risk model to estimate rates of subsoil arcing and associated rates of damage to buried pipelines in proximity to overhead conductors in shared utility rights-of-way. These arcs may be initiated by lightning strikes to or faults on the overhead conductor: a lightning strike to an overhead conductor can cause flashover of the line insulator and create an ionized path into the soil to the nearest buried ground. If normal current from the overhead conductor follows that ionized path, it may terminate on the buried pipeline as an arc.

The probabilistic risk model estimates rates of pipe coating damage and leaks due to sustained arcing, using principles of performance-based engineering to first determine rates of lightning strikes and faults of varying intensity; then the likelihood that an arc forms given a strike or fault and properties of individual sites; and finally, the likelihood of damage conditioned on the lightning or fault intensity. Summing over all lightning and fault intensities and their occurrence frequencies allows for calculation of annual rates of arcing and damage. This model has already been applied by asset managers at electric and gas utility companies to assess risk at existing underground pipelines co-located with overhead conductors and to prioritize locations for mitigation of subsoil arcing and its consequences. Here we apply the model at a hypothetical site at which a wood pole with a grounding rod is three meters from a steel pipeline. The average annual rate of fault-initiated arcs is 6.7 × 10−4 arcs per year, about 52% higher than the average annual rate of lightning-initiated arcs, which is 4.4 × 10−4 arcs per year. Including both faultand lightning-initiated arcs, the average annual rate of coating damage is 2.0 × 10−4 incidents per year, and the average annual rate of leaks is 2.7 × 10−10 leaks per year.

Additional informations

Publication type Session Materials
Reference C4_10930_2026
Publication year
Publisher CIGRE
Country United States of America
Study committees
  • Power system technical performance (C4)
File size 624 KB
Price for non member 30 €
Price for member 30 €

Authors

BHATTACHARJEE Gitanjali - Exponent, United States of America; JAMPOLE Ezra - Exponent, United States of America; WU Yingjie - Exponent, United States of America; BHARGAVA Yash - Exponent, United States of America; SHAHSIAH Ahmad - Exponent, United States of America

Keywords

Arc Fault - Pipeline Damage - Fault Current - Lightning Strike - Risk Assessment

A Probabilistic Method for Estimating Rates of Pipeline Leaks and Ruptures due to Arc Faulting in Shared Utility Rights-of-Way