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Validating Digital Twin Model of a Complex Pipeline System

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Historically the corrosion condition and cathodic protection (CP) effectiveness of pipeline networks have been monitored by over-the-line surveys. Pipe-to-soil potentials and rectifier outputs are the major parameters measured, and for some pipelines a more intensive close interval survey is executed. Today test stations and more frequently rectifiers are equipped with remote monitoring devices which is shifting the industry towards the world of digitization. Unfortunately, external corrosion is still not fully under control.

Product Number: 51323-18958-SG
Author: Keith Parker, Christophe Baete, Trey Johnston
Publication Date: 2023
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$20.00
$20.00

Operating a pipeline requires regular field surveys for controlling external corrosion threats. Surveys are typically performed at rectifiers and test stations, and occasionally a close interval survey between test stations is performed. Pipeline surveys provide only an indirect measure of the corrosion threat and are either labor intensive or do not provide sufficient granularity and accuracy to pinpoint corrosion features in a timely manner.
A computational model of the primary and third party (crossing) pipelines and associated cathodic protection systems is built and further calibrated to accurately simulate protection status based on survey and monitoring data. The resulting digital twin is a replica of the real-world condition with a resolution at pipeline joint level for its full pipeline length. Fluctuations in field data are captured and translated into IR-free potentials and corrosion rate distribution at coating defects along the pipeline.
This article discusses a case study of a calibrated digital twin model of a complex pipeline system. Back testing based on historical survey data was performed to identify events on the pipeline that increase the corrosion risk. The digital model will be used to improve the corrosion prevention strategy within an integrated external corrosion management program.

Operating a pipeline requires regular field surveys for controlling external corrosion threats. Surveys are typically performed at rectifiers and test stations, and occasionally a close interval survey between test stations is performed. Pipeline surveys provide only an indirect measure of the corrosion threat and are either labor intensive or do not provide sufficient granularity and accuracy to pinpoint corrosion features in a timely manner.
A computational model of the primary and third party (crossing) pipelines and associated cathodic protection systems is built and further calibrated to accurately simulate protection status based on survey and monitoring data. The resulting digital twin is a replica of the real-world condition with a resolution at pipeline joint level for its full pipeline length. Fluctuations in field data are captured and translated into IR-free potentials and corrosion rate distribution at coating defects along the pipeline.
This article discusses a case study of a calibrated digital twin model of a complex pipeline system. Back testing based on historical survey data was performed to identify events on the pipeline that increase the corrosion risk. The digital model will be used to improve the corrosion prevention strategy within an integrated external corrosion management program.

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Picture for Predictive Analytics and Machine Learning in Integrated External Corrosion Management
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Predictive Analytics and Machine Learning in Integrated External Corrosion Management

Product Number: 51323-19393-SG
Author: Thomas Hayden, Joseph Mazzella, Keith Parker, Christophe Baete
Publication Date: 2023
$20.00

Managing external corrosion, especially for underground assets, is a significant challenge dating back to the first underground pipeline in 1865. The very first issue of the journal, CORROSION, featured a headline story on this subject. This subject is fundamental for corrosion engineers and pipeline operators.
Picture for Case Study: Integrated External Corrosion Management for A 12-Inch Crude Oil Pipeline
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Case Study: Integrated External Corrosion Management for A 12-Inch Crude Oil Pipeline

Product Number: 51323-18970-SG
Author: Keith Parker, Trey Johnston, Christophe Baeté, Michael Snow
Publication Date: 2023
$20.00

The Enbridge External Corrosion Prevention team (ECP) is developing an Integrated External Corrosion Management (IECM) process by which management of external corrosion control systems can be optimized while
maintaining asset integrity and safety. IECM is intended to provide a methodology by which operators can move from a traditional reactive approach to a state-of-the-art proactive strategy commensurate with industry expertise and technology. Here we discuss a case study intended to demonstrate and assess the outcomes of IECM. The subject is a 12-inch diameter crude oil pipeline located in North America. Results of the process reveal opportunities for improvement and efficiencies in operation and maintenance (O&M).
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