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Decision Making Under Uncertain Erosion Conditions Using The Probabilistic Model

Picture for Decision Making Under Uncertain Erosion Conditions Using The Probabilistic Model
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Erosion is one of the major threats of the pipeline integrity1 when it’s transporting liquid hydrocarbon products with solid particles. The erosion process decreases the effective wall thickness and therefore reduces the capacity of the pipeline to contain the pressured product. This can induce serious consequences including property, health and safety, environment, and business costs.

Product Number: 51322-17813-SG
Author: Guanlan Liu, Francois Ayello, Jose Vera, Richard Eckert
Publication Date: 2022
Industries: Cathodic Protection , Corrosion Monitoring and Control , Coatings and Linings , Coatings
$0.00
$20.00
$20.00

Erosion threatens the integrity of pipeline system through wall thinning. This effect is worsened when corrosion and erosion interact. Therefore, it is necessary to estimate the ranges of possible erosion rates under a set of operating conditions rate for the safe operation of pipeline. However, data uncertainty (including missing data) challenges the erosion rate estimation. This study shows how to use and erosion probabilistic model to  gather the most useful data depending on threat mechanism and already collected information about pipeline conditions, help pipeline operators use probabilistic results to inspect for threats in the most useful locations (number of inspection sites is also considered), help pipeline operators optimize inspection time intervals and help pipeline operators tailor erosion mitigation strategies to specific pipeline and operating conditions.

Erosion threatens the integrity of pipeline system through wall thinning. This effect is worsened when corrosion and erosion interact. Therefore, it is necessary to estimate the ranges of possible erosion rates under a set of operating conditions rate for the safe operation of pipeline. However, data uncertainty (including missing data) challenges the erosion rate estimation. This study shows how to use and erosion probabilistic model to  gather the most useful data depending on threat mechanism and already collected information about pipeline conditions, help pipeline operators use probabilistic results to inspect for threats in the most useful locations (number of inspection sites is also considered), help pipeline operators optimize inspection time intervals and help pipeline operators tailor erosion mitigation strategies to specific pipeline and operating conditions.

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