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Elsyca V-PIMS
A revolution in digital PIMS combining Pipeline Corrosion Integrity Management System (PIMS) and computational modeling capabilities
Elsyca IRIS
Deep analysis of AC threats supporting efficient mitigation systems computer-aided design
Elsyca CatPro
Graphical simulation platform for cathodic protection and DC stray current analysis of pipeline networks
Elsyca CPManager
3D CAD-based software simulation platform for the computer-aided design and analysis of cathodic protection installations
Elsyca ACTA
Unique solution offering accurate, disambiguated, and tailored risk ranking report of pipeline networks
Elsyca PlatingManager
Leverage a digital twin of your plating line to predict plating performance and increase manufacturing capacity
Elsyca PCBBalance
The world’s only PCB DFM software that applies automated and optimized copper balancing to your PCB design and panel layout.
Elsyca PCBPlate
State-of-the-art graphical simulation platform for enhancing the plating performance of your PCB panel and pattern plating processes.
Elsyca ECoatMaster
CAD independent software platform for the simulation of the automotive electrocoating process of a body-in-white (BIW).
Elsyca EPOS
Simulate the performances of electropolishing processes based on a virtual mock-up of the electropolishing cell.
Elsyca AnodizingManager
State-of-the-art graphical simulation platform for analyzing the production performance and quality of anodizing processes.
Elsyca CorrosionMaster
CorrosionMaster identifies corrosion hot spots and predicts corrosion rates, enabling engineers to look at alternative material combinations and/or coating systems, or investigate corrosion-mitigating measures.
Elsyca LeakageMaster
Improve vehicles interior acoustic comfort by performing upfront virtual smoke tests.
Elsyca MeshingMaster
Automatically creates meshes for a variety of applications such as acoustics, CFD, thermal analysis, etc
Elsyca XPlorer
Interactive simulation results viewer for Finite Elements results
Elsyca XPlorer3D
Analyze, Understand and Get Immersed in your results

Optimizing Pipeline AC Threat Assessments using Computational Aided Engineering (CAE) Modelling (AMPP 2023)

AMPP 2023 Conference Paper

Optimizing Pipeline AC Threat Assessments using Computational Aided Engineering (CAE) Modelling (AMPP 2023)

Optimizing Pipeline AC Threat Assessments using Computational Aided Engineering (CAE) Modelling (AMPP 2023)

Christophe Baeté, Olga Dolgikh, Elsyca, Inc.

Paper presented at the AMPP Annual Conference + Expo, Denver, CO, USA, March 2023

Paper Number: AMPP-2023-19219


AC threat assessments on pipelines are typically covered under various specifications, and best practices, such as NACE SP0177, EN 50443 and the INGAA FINAL Report No. 2015-04. The theories and philosophies are all based upon sound engineering and scientific principles but require a significant amount of Subject Matter Expert (SME) time. The more complex the collocations, the slower the process and/or the higher the costs. With complex and large networks, the asset owner is often overwhelmed.

An advanced approach has been developed, tested, and implemented on more than 66,000 miles of pipelines. During testing, previously qualified and quantified AC threats, investigated using more comprehensive site and engineering technologies were used as a comparison. This paper addresses how the AC threat assessment can be used in conjunction with readily available pipeline operator data, in-house expertise, as well as other publicly available source data, to compute the level of the AC threat and determine critical regions depending on the operational mode of AC threat, quickly, effectively and accurately in an extremely cost effective manner, and in line with the pending PHMSA Mega Rule part 2 (RIN2).


There are several well documented reports and standards that detail what information is required to assist with an AC threat assessment1,2. The Association for Materials Protection and Performance (AMPP) also details specific requirements and recommendations in terms of AC and the type of data and information required, in the NACE standard SP0177-2019, “Mitigation of Alternating Current and Lightning Effects on Metallic Structures and Corrosion Control Systems”3. The documents and reports which address AC threat assessment, and which are available today, are all premised upon best engineering practices. They all have significant and major drawbacks, as they are all intensive, time consuming, Subject Matter Expert (SME) based, and are therefore subjective, onerous, and costly.

The asset owners and operators are often faced with large challenges: where do we start; why do we start here; will we be able to capture the most critical risks; are we overlooking risks; how long will the AC threat assessment take, and how reliable will the results be; and how much will it all cost.

An advanced Computational Aided Engineering (CAE) AC threat assessment software platform has been developed in order to remove the SME subjectivity, accelerate and automate the analysis, and consider significantly more parameters for very complex AC interference collocations.

Link to AMPP 2023 proceeding

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