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Proceedings Papers

An Approach to Assess Environmental Severity Categories Using Corrosion Sensors

James Dante, Erica Macha, Andrew Keller, Michael Hartnett, Shengyen Li
Paper presented at the AMPP Annual Conference + Expo, March 3–7, 2024
Paper Number: AMPP-2024-20739
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Proceedings Papers

Application of Artificial Intelligence in Corrosion Management

Mohd Aswadi Ton Alias, Nurul Asni Mohamed, M Iskandar Bakeri, Izzatdin A Aziz, M Hilmi Hasan, M Shahrizal PKM Seeni Mohd, Sathiyamurthi Raja Moorthi
Paper presented at the AMPP Annual Conference + Expo, March 3–7, 2024
Paper Number: AMPP-2024-20711
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Proceedings Papers

Real-Time Measurement of Aerospace Organic Coating Condition and Performance in Atmospheric Corrosion Conditions

Victoria Avance, Rebecca Marshall, Fritz Friedersdorf, Matthew Repasky, Henry Yuchi, Yao Xie
Paper presented at the AMPP Annual Conference + Expo, March 3–7, 2024
Paper Number: AMPP-2024-20742
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View Paper titled, Real-Time Measurement of Aerospace Organic Coating Condition and Performance in Atmospheric Corrosion Conditions
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Proceedings Papers

Corrosion and Risk Modelling Analytics

B. R. Shivadhanush, N. J. Laycock, M. Geeta, F. Samie, P. Panchami, J. Hartog
Paper presented at the AMPP Annual Conference + Expo, March 3–7, 2024
Paper Number: AMPP-2024-20833
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Proceedings Papers

Predicting Corrosion Severity of Pipeline Steels in Supercritical CO 2 Environments Using Supervised Machine Learning

Emily Seto, Meifeng Li, Jing Liu
Paper presented at the AMPP Annual Conference + Expo, March 3–7, 2024
Paper Number: AMPP-2024-20803
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View Paper titled, Predicting Corrosion Severity of Pipeline Steels in Supercritical CO 2 Environments Using Supervised Machine Learning
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Proceedings Papers

Modeling and Prediction of Pipeline External Corrosion

Naim Dakwar, Sankara Papavinasam, Abdullah Hammoud
Paper presented at the AMPP Annual Conference + Expo, March 3–7, 2024
Paper Number: AMPP-2024-20704
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View Paper titled, Modeling and Prediction of Pipeline External Corrosion
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Proceedings Papers

Development of Corrosion Severity Assessment Algorithms Using Environmental Monitoring Sensors in Naval Aviation Environments

Alexander Lilly, Steven Kopitzke, Ian Long
Paper presented at the AMPP Annual Conference + Expo, March 3–7, 2024
Paper Number: AMPP-2024-20663
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View Paper titled, Development of Corrosion Severity Assessment Algorithms Using Environmental Monitoring Sensors in Naval Aviation Environments
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Proceedings Papers

Probabilistic Assessment of Hydrogen Stress Cracking of Steels and CRA in Sour Environments

Narasi Sridhar, Mariano A. Kappes
Paper presented at the AMPP Annual Conference + Expo, March 3–7, 2024
Paper Number: AMPP-2024-20409
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View Paper titled, Probabilistic Assessment of Hydrogen Stress Cracking of Steels and CRA in Sour Environments
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Proceedings Papers

Predicting Long-Term Exposure Performance of Galvanized Rebar Based on Artificial Intelligence and Electrochemical Methods

Deeparekha Narayanan, Yi Lu, Victor Ponce, Homero Castaneda
Paper presented at the AMPP Annual Conference + Expo, March 3–7, 2024
Paper Number: AMPP-2024-21166
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View Paper titled, Predicting Long-Term Exposure Performance of Galvanized Rebar Based on Artificial Intelligence and Electrochemical Methods
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Proceedings Papers

Analysis and Monitoring of Welded Carbon Steel Corrosion in Aqueous Solutions Using Electrochemical Noise and Wavelet Analysis

Ahmed Abdulmutaali, Katerina Lepkova, Chris Aldrich
Paper presented at the AMPP Annual Conference + Expo, March 3–7, 2024
Paper Number: AMPP-2024-21243
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View Paper titled, Analysis and Monitoring of Welded Carbon Steel Corrosion in Aqueous Solutions Using Electrochemical Noise and Wavelet Analysis
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Proceedings Papers

Cost-Effective Optimization of Midstream Pipeline Corrosion Management with Advanced Technologies

Pankaj Tandon
Paper presented at the AMPP Annual Conference + Expo, March 3–7, 2024
Paper Number: AMPP-2024-21193
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View Paper titled, Cost-Effective Optimization of Midstream Pipeline Corrosion Management with Advanced Technologies
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Proceedings Papers

A Damage-Based Approach and Predictive Modeling of Corrosion in Substrate/Coating Systems Using Artificial Neural Networks

Victor Ponce, Walter Tarr, Allison Mahood, Shaik Merkatur Hakim Marjuban, Heather Eich, Homero Castaneda
Paper presented at the AMPP Annual Conference + Expo, March 3–7, 2024
Paper Number: AMPP-2024-21150
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View Paper titled, A Damage-Based Approach and Predictive Modeling of Corrosion in Substrate/Coating Systems Using Artificial Neural Networks
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Proceedings Papers

Towards Automated Development and Evaluation of Optimal Corrosion Inhibitor Products

Hector Klie, Arturo Klie, Ana Ferrer, Yolanda De-Abreu
Paper presented at the AMPP Annual Conference + Expo, March 19–23, 2023
Paper Number: AMPP-2023-18783
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View Paper titled, Towards Automated Development and Evaluation of Optimal Corrosion Inhibitor Products
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Proceedings Papers

Artificial Intelligence-Based Characterization Tool for Corrosion Removal and Surface Preparation

Matthew A. Nakatsuka, Mark Kimura, Alexander Ventura, Ramiro Maldonado, Dylan Kobayashi, Vinod P. Veedu
Paper presented at the AMPP Annual Conference + Expo, March 19–23, 2023
Paper Number: AMPP-2023-19564
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View Paper titled, Artificial Intelligence-Based Characterization Tool for Corrosion Removal and Surface Preparation
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Proceedings Papers

Application of Machine Learning Techniques for Sand Erosion Prediction for Elbows in Multiphase Flow

Ronald E. Vieira, Farzin Darihaki, Jamie Li, Siamack A. Shirazi
Paper presented at the AMPP Annual Conference + Expo, March 19–23, 2023
Paper Number: AMPP-2023-18995
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View Paper titled, Application of Machine Learning Techniques for Sand Erosion Prediction for Elbows in Multiphase Flow
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Proceedings Papers

Data-Driven Machine Learning Techniques Case Study for Corrosion Depth Prediction in Facilities Station Piping

Kane Kaiqi Cheng, Michael Snow
Paper presented at the AMPP Annual Conference + Expo, March 19–23, 2023
Paper Number: AMPP-2023-18927
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View Paper titled, Data-Driven Machine Learning Techniques Case Study for Corrosion Depth Prediction in Facilities Station Piping
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Proceedings Papers

A Prediction of Corrosion-Related Leakage on Distribution Pipelines via Machine Learning Method

Zhuoran Zhang, Guanlan Liu
Paper presented at the AMPP Annual Conference + Expo, March 19–23, 2023
Paper Number: AMPP-2023-18972
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View Paper titled, A Prediction of Corrosion-Related Leakage on Distribution Pipelines via Machine Learning Method
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Proceedings Papers

Mechanistic Model as a Bias to Machine Learning Algorithm for Confident Prediction of Corrosion

Ishan Patel, Gheorghe Bota
Paper presented at the AMPP Annual Conference + Expo, March 19–23, 2023
Paper Number: AMPP-2023-19108
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View Paper titled, Mechanistic Model as a Bias to Machine Learning Algorithm for Confident Prediction of Corrosion
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Proceedings Papers

Modelling of Corrosion Under Insulation in Oil Sands

Andrea Marciales, Martin Huard, Kofi Freeman Adane
Paper presented at the AMPP Annual Conference + Expo, March 19–23, 2023
Paper Number: AMPP-2023-19209
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View Paper titled, Modelling of Corrosion Under Insulation in Oil Sands
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Proceedings Papers

Advanced Inspection Technologies for Determining the Extent of Corrosion Damage in Fixed Equipment

Yashar Behnamian, Nirav Mehta, Duane Serate, Marko Alekszity, Simon Yuen, Aaron Mcdonald, Matt Crist
Paper presented at the AMPP Annual Conference + Expo, March 19–23, 2023
Paper Number: AMPP-2023-19195
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View Paper titled, Advanced Inspection Technologies for Determining the Extent of Corrosion Damage in Fixed Equipment
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