Menu
Search
Filters
Close
Menu

51316-7078-Internal Corrosion Direct Assessment Using Bayesian Networks Modeling With Limited Data-A Case Study

Picture for Internal Corrosion Direct Assessment Using Bayesian Networks Modeling With Limited Data-A Case Study
Available for download

Bayesian networks (BN) are useful tools for corrosion modeling. This paper is a case study demonstrating how to perform Internal Corrosion Direct Assessment (ICDA) using BN modeling with limited data.  A BN model was developed for ICDA of a 50 km refined oil pipeline.  Internal corrosion probability of failure along the pipeline was assessed.

Product Number: 51316-7078-SG
ISBN: 7078 2016 CP
Author: Shan Guan
Publication Date: 2016
Industries: Gas/Liquid Pipelines , Science of Corrosion
$0.00
$20.00
$20.00

Bayesian networks (BN) are useful tools for corrosion modeling of complex systems such as oil and gas pipelines. DNV GL has developed BN models for assessing failure risk of pipelines due to internal corrosion external corrosion and third party damages. These models take into account dependencies among all variables and can handle situations with limited/incomplete data. This paper is a case study demonstrating how to perform Internal Corrosion Direct Assessment (ICDA) using BN modeling with limited data.A BN model was developed for ICDA of a 50 km refined oil pipeline operated by the West Pipeline Company in Urumqi China. Internal corrosion probability of failure along the pipeline was assessed by quantifying the uncertainties using data provided by the pipeline operator. Because of the limited available data including lack of information on water content and other chemical compositions in the oil the model predicts a low probability of failure for the entire 40-year service span simulated in the analysis. As a comparison a what-if scenario analysis was carried out by assuming of a small amount of water in the oil. The results of which predict that the pipeline would fail in 15 years because of internal corrosion. In addition a sensitivity analysis was employed to determine the most effective strategy to reduce the uncertainties. Results show that CO2 H2S pH and corrosion inhibition were the most important factors to define in order to improve the prediction accuracy of the internal corrosion model.

Keywords: downloadable, Bayesian networks, ICDA, Corrosion modeling, Limited Data

Bayesian networks (BN) are useful tools for corrosion modeling of complex systems such as oil and gas pipelines. DNV GL has developed BN models for assessing failure risk of pipelines due to internal corrosion external corrosion and third party damages. These models take into account dependencies among all variables and can handle situations with limited/incomplete data. This paper is a case study demonstrating how to perform Internal Corrosion Direct Assessment (ICDA) using BN modeling with limited data.A BN model was developed for ICDA of a 50 km refined oil pipeline operated by the West Pipeline Company in Urumqi China. Internal corrosion probability of failure along the pipeline was assessed by quantifying the uncertainties using data provided by the pipeline operator. Because of the limited available data including lack of information on water content and other chemical compositions in the oil the model predicts a low probability of failure for the entire 40-year service span simulated in the analysis. As a comparison a what-if scenario analysis was carried out by assuming of a small amount of water in the oil. The results of which predict that the pipeline would fail in 15 years because of internal corrosion. In addition a sensitivity analysis was employed to determine the most effective strategy to reduce the uncertainties. Results show that CO2 H2S pH and corrosion inhibition were the most important factors to define in order to improve the prediction accuracy of the internal corrosion model.

Keywords: downloadable, Bayesian networks, ICDA, Corrosion modeling, Limited Data

Product tags
Also Purchased
Picture for Internal Corrosion Direct Assessment For Offshore Pipelines
Available for download

51316-7092-Internal Corrosion Direct Assessment For Offshore Pipelines

Product Number: 51316-7092-SG
ISBN: 7092 2016 CP
Author: Eugene Ogosi
Publication Date: 2016
$20.00

Inspection of offshore pipelines is essential to provide vital information required for integrity assessment to allow data driven engineering decisions to be made and prevent costly failures. This paper presents experience from applying Internal Corrosion Direct Assessment (ICDA) for offshore pipelines in the North Sea.
Picture for MP-ICDA Analysis On Block 12 And Block 15 Gathering Pipelines On Petroamazonas EP
Available for download

51316-7089-MP-ICDA Analysis On Block 12 And Block 15 Gathering Pipelines On Petroamazonas EP

Product Number: 51316-7089-SG
ISBN: 7089 2016 CP
Author: Carlos Melo Gonzalez
Publication Date: 2016
$20.00

In 2010, mechanical integrity personnel started the application of the Direct Assessment (DA) and Inline Inspection Methodologies (ILI) to establish the integrity validation baseline assessments for a Pipeline Integrity Program (PIP) for the pipelines operated within Blocks 12 and 15 by Petroamazonas EP, in Ecuador.
Picture for Successful Application of Internal Corrosion Direct Assessment (ICDA) to determine the Integrity of of an Indian Offshore SPM Pipeline
Available for download

51318-11308-Successful Application of Internal Corrosion Direct Assessment (ICDA) to determine the Integrity of of an Indian Offshore SPM Pipeline

Product Number: 51318-11308-SG
Author: Patrick J. Teevens / Sridhar Arumugam / Ashish Khera / Bidyut Baniah
Publication Date: 2018
$20.00

The study presents the internal corrosion direct assessment (ICDA) of a 48” x 18.7 km liquid petroleum pipeline carrying crude oil from a subsea pipeline end manifold (PLEM) to the onshore crude oil tank facilities.
Categories
Industry
Recently viewed
Popular tags
View all

Association for Materials Protection and Performance

© AMPP All Rights Reserved.
Membership Terms of Content Use
Contact Customer Support