Search
Filters
Close

Save 20% on select titles with code HIDDEN24 - Shop The Sale Now

Controlling AC Safety And Corrosion Risks on Pipelines with Digital Twins

According NACE21414 and ISO18086 standards AC corrosion risks on pipelines requires knowledge on the AC and CP current density on a coating defect or coupon. The induced voltage is mainly a result of the pipeline coating properties, connections to grounded structures (anode beds, other pipelines, AC grounding systems, etc.) and the powerline characteristics (AC load, phase arrangement, tower configuration, etc.). A proper mitigation design engineering study should include all these variables.

Product Number: MECC23-20075-SG
Author: Christophe Baete
Publication Date: 2023
$20.00
$20.00
$20.00

With the increasing energy demand pipeline corridors experience more often interference from multiple high voltage powerline systems. The complexity of these co-locations calls for more advanced approaches based on computer aided models that take into account all the details of the pipeline, CP, powerline and soil. Using simple analytical equations often leads to very conservative AC mitigation designs with high material and installation costs.


A computational model approach is proposed whereby dedicated field data is used to build models that become a replica of the real-world situation which ultimately results in cost-effective and safe AC mitigation designs. Digital twin models compute the AC and DC current density required for the assessment of the AC corrosion likelihood according to the NACE SP 21424 or ISO 18086 standard. A field case study will be discussed demonstrating the benefits of the digital twin approach.

With the increasing energy demand pipeline corridors experience more often interference from multiple high voltage powerline systems. The complexity of these co-locations calls for more advanced approaches based on computer aided models that take into account all the details of the pipeline, CP, powerline and soil. Using simple analytical equations often leads to very conservative AC mitigation designs with high material and installation costs.


A computational model approach is proposed whereby dedicated field data is used to build models that become a replica of the real-world situation which ultimately results in cost-effective and safe AC mitigation designs. Digital twin models compute the AC and DC current density required for the assessment of the AC corrosion likelihood according to the NACE SP 21424 or ISO 18086 standard. A field case study will be discussed demonstrating the benefits of the digital twin approach.