NDLI: On the Applicability of Extreme Value Statistics in the Prediction of Maximum Pit Depth in Heavily Corroded Non-Piggable Buried Pipelines

Content Provider	The American Society of Mechanical Engineers (ASME) Digital Collection
Author	Alfonso, L. Caleyo, F. Hallen, J. M. Araujo, J.
Copyright Year	2010
Abstract	There exists a large number of works aimed at the application of Extreme Value Statistics to corrosion. However, there is a lack of studies devoted to the applicability of the Gumbel method to the prediction of maximum pitting-corrosion depth. This is especially true for works considering the typical pit densities and spatial patterns in long, underground pipelines. In the presence of spatial pit clustering, estimations could deteriorate, raising the need to increase the total inspection area in order to obtain the desired accuracy for the estimated maximum pit depth. In most practical situations, pit-depth samples collected along a pipeline belong to distinguishable groups, due to differences in corrosion environments. For example, it is quite probable that samples collected from the pipeline’s upper and lower external surfaces will differ and represent different pit populations. In that case, maximum pit-depth estimations should be made separately for these two quite different populations. Therefore, a good strategy to improve maximum pit-depth estimations is critically dependent upon a careful selection of the inspection area used for the extreme value analysis. The goal should be to obtain sampling sections that contain a pit population as homogenous as possible with regard to corrosion conditions. In this study, the aforementioned strategy is carefully tested by comparing extreme-value-oriented Monte Carlo simulations of maximum pit depth with the results of inline inspections. It was found that the variance to mean ratio, a measure of randomness, and the mean squared error of the maximum pit-depth estimations were considerably reduced, compared with the errors obtained for the entire pipeline area, when the inspection areas were selected based on corrosion-condition homogeneity.
Sponsorship	International Petroleum Technology Institute and the Pipeline Division
Starting Page	527
Ending Page	535
Page Count	9
File Format	PDF
ISBN	9780791844236
DOI	10.1115/IPC2010-31321
e-ISBN	9780791838853
Volume Number	2010 8th International Pipeline Conference, Volume 4
Conference Proceedings	2010 8th International Pipeline Conference
Language	English
Publisher Date	2010-09-27
Publisher Place	Calgary, Alberta, Canada
Access Restriction	Subscribed
Subject Keyword	Chaos Errors Underground pipelines Corrosion Simulation Pipelines Inspection Statistics as topic Engineering simulation
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Application of Extreme Value Statistics to the Prediction of Maximum Pit Depth in Non-Piggable, Buried Pipelines

Markov Chain Model Helps Predict Pitting Corrosion Depth and Rate in Underground Pipelines

On the Requirements for a Reasonable Extreme Value Prediction of Maximum Pits on Hot-Water-Supply Copper Tubing.

In-Line Inspection Techniques for “Non-Piggable” Liquid Pipelines

Statistical Modelling of Pitting Corrosion: Extrapolation of the Maximum Pit Depth-Growth

Effect of Soil Corrosion in Failures of Buried Gas Pipelines

PCE-1 Oil Pipeline/Point A 24” - Inspection Alternatives for a “Non-Piggable” Pipeline

Evaluation of Corrosion Residual Life Prediction Methods for Metal Pipelines

Effects of Inline Inspection Sizing Uncertainties on the Accuracy of the Largest Features and Corrosion Rate Statistics

On the Applicability of Extreme Value Statistics in the Prediction of Maximum Pit Depth in Heavily Corroded Non-Piggable Buried Pipelines

Similar Documents

Application of Extreme Value Statistics to the Prediction of Maximum Pit Depth in Non-Piggable, Buried Pipelines

Markov Chain Model Helps Predict Pitting Corrosion Depth and Rate in Underground Pipelines

On the Requirements for a Reasonable Extreme Value Prediction of Maximum Pits on Hot-Water-Supply Copper Tubing.

In-Line Inspection Techniques for “Non-Piggable” Liquid Pipelines

Statistical Modelling of Pitting Corrosion: Extrapolation of the Maximum Pit Depth-Growth

Effect of Soil Corrosion in Failures of Buried Gas Pipelines

PCE-1 Oil Pipeline/Point A 24” - Inspection Alternatives for a “Non-Piggable” Pipeline

Evaluation of Corrosion Residual Life Prediction Methods for Metal Pipelines

Effects of Inline Inspection Sizing Uncertainties on the Accuracy of the Largest Features and Corrosion Rate Statistics

On the Applicability of Extreme Value Statistics in the Prediction of Maximum Pit Depth in Heavily Corroded Non-Piggable Buried Pipelines