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 (1) gather the most useful data depending on threat mechanism and already collected information about pipeline conditions, (2) help pipeline operators use probabilistic results to inspect for threats in the most useful locations (number of inspection sites is also considered), (3) help pipeline operators optimize inspection time intervals and (4) help pipeline operators tailor erosion mitigation strategies to specific pipeline and operating conditions.

Subject
Erosion models, Pipeline operations, Corrosion rate, Predicted corrosion rate, Probability distributions, Flow velocity, Pipelines, Probability, Density, Curvature, Fluids, Erosion, Hardness
Keywords:
Bayesian network, Erosion, Pipeline Integrity, Probabilistic Model
© 2022 Association for Materials Protection and Performance (AMPP). All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means (electronic, mechanical, photocopying, recording, or otherwise) without the prior written permission of AMPP. Positions and opinions advanced in this work are those of the author(s) and not necessarily those of AMPP. Responsibility for the content of the work lies solely with the author(s).
2022
Association for Materials Protection and Performance (AMPP)
You do not currently have access to this content.