I want to calculate Steel pipeline corrosion rate in different conditions, so Which software is best for estimating of pipeline corrosion rate?
Dear Dr. Meysam Najafi Ershadi ,
you can choose between different options according to your preferences and needs; below you can find some examples and some papers related to your question:
-Corrosion Prediction Software and Corrosion Modeling Software
More info at: https://www.corrosionclinic.com/corrosion_prediction_and_corrosion_modeling_software.htm
-Veracity CCM Software
More info at: https://www.assetintegrityengineering.com/software/veracity-ccm/?gclid=EAIaIQobChMImoi0oa-A6AIVGaqaCh3XbwPgEAMYASAAEgJiDfD_BwE
-Pipeline Corrosion Prediction And Reliability Analysis: A Systematic Approach With Monte Carlo Simulation And Degradation Models
Chinedu I. OSSAI
INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH,Vol. 2, ISSUE 3, 2013
Available at: http://www.ijstr.org/final-print/mar2013/Pipeline-Corrosion-Prediction-And-Reliability-Analysis-A-Systematic-Approach-With-Monte-Carlo-Simulation-And-Degradation-Models.pdf
-Probabilistic Remnant Life Assessment of Corroding Pipelines within a Risk-Based Framework
By A Muhammed and J. B. Speck
Paper presented at ASRANet International Colloquium 2002, 8 -10 July 2002, University of Glasgow, Scotland
Available at: https://www.twi-global.com/technical-knowledge/published-papers/probabilistic-remnant-life-assessment-of-corroding-pipelines-within-a-risk-based-framework-july-2002
Best regards, Pierluigi Traverso
Dear Dr. Meysam Najafi Ershadi ,
you can choose between different options according to your preferences and needs; below you can find some examples and some papers related to your question:
-Corrosion Prediction Software and Corrosion Modeling Software
More info at: https://www.corrosionclinic.com/corrosion_prediction_and_corrosion_modeling_software.htm
-Veracity CCM Software
More info at: https://www.assetintegrityengineering.com/software/veracity-ccm/?gclid=EAIaIQobChMImoi0oa-A6AIVGaqaCh3XbwPgEAMYASAAEgJiDfD_BwE
-Pipeline Corrosion Prediction And Reliability Analysis: A Systematic Approach With Monte Carlo Simulation And Degradation Models
Chinedu I. OSSAI
INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH,Vol. 2, ISSUE 3, 2013
Available at: http://www.ijstr.org/final-print/mar2013/Pipeline-Corrosion-Prediction-And-Reliability-Analysis-A-Systematic-Approach-With-Monte-Carlo-Simulation-And-Degradation-Models.pdf
-Probabilistic Remnant Life Assessment of Corroding Pipelines within a Risk-Based Framework
By A Muhammed and J. B. Speck
Paper presented at ASRANet International Colloquium 2002, 8 -10 July 2002, University of Glasgow, Scotland
Available at: https://www.twi-global.com/technical-knowledge/published-papers/probabilistic-remnant-life-assessment-of-corroding-pipelines-within-a-risk-based-framework-july-2002
Best regards, Pierluigi Traverso
Dear Dr. Pierluigi Traverso
Thank you very much for your useful comment on my question.
Dear Meysam,
PipelineCompass is a powerful tool for pipeline corrosion modeling, prediction, assessment and solutions. The software has two predictive engines, one for predicting external corrosion from the soil side, and the other for predicting internal corrosion from the product side (oil and gas, water, or others transported by the pipelines). Pipeline Compass simply works on any computer device running any OS. You need an internet browser.
A variety of methods can be used to predict future data based on the historical data of the system; these methods include the statistical prediction method, artificial neural networks (ANNs) and fuzzy logic methods. The specific internal corrosion inspection data from the assessed pipelines detected by long-range ultrasonic testing (LRUT), automated ultrasonic testing (AUT) and manual ultrasonic testing (UT) etc. Recently, many researchers have introduced intelligent optimization methods, such as the genetic algorithm (GA). Monto carlo simulation could be done and analysis for risk RBI (risk based inspection) software can be used.
Hope it is helpful for you.
Ashish
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