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Proceedings Papers

Machine Learning Based Surrogate Modelling of High-fidelity Multiphysics CO2 Corrosion Model Predictions

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Ethan Proudlove, Richard C. Woollam, Harvey Thompson, Richard Barker
View Paper titled, Machine Learning Based Surrogate Modelling of High-fidelity Multiphysics CO2 Corrosion Model Predictions
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Proceedings Papers

An Open-Source Approach to High Voltage Induction Risk

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Thomas Hayden, Christian Akuchie, Len Krissa, Joseph Mazzella
View Paper titled, An Open-Source Approach to High Voltage Induction Risk
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Proceedings Papers

Investigation into the Mechanistic Controlling Behaviors of CO2 Corrosion Models via the Use of Simulated Polarization Curves

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Michael Jones, Gregory de Boer, Richard Woollam, Joshua Owen, Richard Barker
View Paper titled, Investigation into the Mechanistic Controlling Behaviors of CO2 Corrosion Models via the Use of Simulated Polarization Curves
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Proceedings Papers

Process Development for Mechanistic Corrosion Models: Building, Validating, and Leveraging for Robust Outcomes

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Daniel Fingas, Scott McKelvey, Keith Parker
View Paper titled, Process Development for Mechanistic Corrosion Models: Building, Validating, and Leveraging for Robust Outcomes
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Proceedings Papers

Digital Twin as a Tool for Extending In-Line Inspection Intervals

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Keith Parker, Yanping Li, Christophe Baete, Victoria Chum, Trey Johnston
View Paper titled, Digital Twin as a Tool for Extending In-Line Inspection Intervals
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Proceedings Papers

Assessing Comprehensive Mechanistic CO2 Corrosion Modeling Methods and Their Impact on Predicted Corrosion Behavior

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Michael Jones, Gregory de Boer, Richard Woollam, Joshua Owen, Richard Barker, Mariana C. Folena, Hanan Farhat
View Paper titled, Assessing Comprehensive Mechanistic CO2 Corrosion Modeling Methods and Their Impact on Predicted Corrosion Behavior
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Proceedings Papers

Validating Digital Twin Model of a Complex Pipeline System

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Keith Parker, Christophe Baete, Trey Johnston
View Paper titled, Validating Digital Twin Model of a Complex Pipeline System
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Proceedings Papers

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

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Ronald E. Vieira, Farzin Darihaki, Jamie Li, Siamack A. Shirazi
View Paper titled, Application of Machine Learning Techniques for Sand Erosion Prediction for Elbows in Multiphase Flow
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Proceedings Papers

Evaluation of Mechanistic Models and Correlations for Predicting Solid Particle-Induced Erosion under Various Flow Regimes

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Farzin Darihaki, Ronald E. Vieira, Siamack A. Shirazi
View Paper titled, Evaluation of Mechanistic Models and Correlations for Predicting Solid Particle-Induced Erosion under Various Flow Regimes
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Proceedings Papers

Predicting Hot Oil Corrosion: a Framework for Quantifying Reactive Organic Sulfur Compounds in Crude Unit Process Streams

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Winston Robbins, Sridhar Srinivasan, Gerrit Buchheim
View Paper titled, Predicting Hot Oil Corrosion: a Framework for Quantifying Reactive Organic Sulfur Compounds in Crude Unit Process Streams
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Proceedings Papers

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

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Ishan Patel, Gheorghe Bota
View Paper titled, Mechanistic Model as a Bias to Machine Learning Algorithm for Confident Prediction of Corrosion
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Proceedings Papers

Tafel-Piontelli Model for the Prediction of the Corrosion Rate of Active Metals in Weakly Acidic Environments. Application to Sweet Corrosion in the Oil and Gas Industry

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Elena Messinese, Marco Ormellese, Andrea Brenna
View Paper titled, Tafel-Piontelli Model for the Prediction of the Corrosion Rate of Active Metals in Weakly Acidic Environments. Application to Sweet Corrosion in the Oil and Gas Industry
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Proceedings Papers

Numerical Exploration of a Comprehensive Mechanistic CO2 Corrosion Model Part I: Influence of Temperature, Pressure and Bulk pH

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Michael Jones, Gregory de Boer, Richard Woollam, Joshua Owen, Richard Barker
View Paper titled, Numerical Exploration of a Comprehensive Mechanistic CO2 Corrosion Model Part I: Influence of Temperature, Pressure and Bulk pH
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Proceedings Papers

Predictive Analytics and Machine Learning in Integrated External Corrosion Management

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Thomas Hayden, Joseph Mazzella, Keith Parker, Christophe Baete
View Paper titled, Predictive Analytics and Machine Learning in Integrated External Corrosion Management
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Proceedings Papers

Laying the Foundation for an Engineered and Integrated Approach to Pipeline External Corrosion Protection

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Keith Parker, Trey Johnston, Alfonso Garcia, Dale Lindemuth, Stephen B. Gibson, Christophe Baete
View Paper titled, Laying the Foundation for an Engineered and Integrated Approach to Pipeline External Corrosion Protection
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