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TOP OF THE LINE CORROSION – COMPARISON OF MODEL PREDICTIONS WITH FIELD DATA

Picture for TOP OF THE LINE CORROSION – COMPARISON OF MODEL PREDICTIONS WITH FIELD DATA
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Product Number: 51312-01449-SG
ISBN: 01449 2012 CP
Author: Ussama Kaewpradap
Publication Date: 2012
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Top of the Line Corrosion (TLC) is a serious concern for the oil and gas industry and has been the cause of numerous pipeline failures. Many research projects have been developed in order to better understand the mechanisms and to develop accurate predictive tools for TLC. The corrosion mechanisms implemented in most of the available TLC prediction models are mostly based on experimental data. Therefore it is essential to validate the model’s capabilities by using field data of reported TLC occurrence. A new approach in comparing model predictions with field data is proposed in this work. Information collected from a sweet field having experienced TLC issues was analyzed and used to run the Ohio University TLC Line Model to simulate water condensation rates and temperature profiles. Then this information was used to run the TLC prediction software TOPCORP in order to calculate the corrosion rate at the top of the line along the pipeline. The simulation results were compared with in-line inspection data (ILI). Challenges encountered in the analysis of the field conditions information (inaccuracy of production data) and the ILI data are discussed a coherent methodology for comparison with simulation results is proposed. Keywords: Top of the line corrosion modeling field data MFL data
Top of the Line Corrosion (TLC) is a serious concern for the oil and gas industry and has been the cause of numerous pipeline failures. Many research projects have been developed in order to better understand the mechanisms and to develop accurate predictive tools for TLC. The corrosion mechanisms implemented in most of the available TLC prediction models are mostly based on experimental data. Therefore it is essential to validate the model’s capabilities by using field data of reported TLC occurrence. A new approach in comparing model predictions with field data is proposed in this work. Information collected from a sweet field having experienced TLC issues was analyzed and used to run the Ohio University TLC Line Model to simulate water condensation rates and temperature profiles. Then this information was used to run the TLC prediction software TOPCORP in order to calculate the corrosion rate at the top of the line along the pipeline. The simulation results were compared with in-line inspection data (ILI). Challenges encountered in the analysis of the field conditions information (inaccuracy of production data) and the ILI data are discussed a coherent methodology for comparison with simulation results is proposed. Keywords: Top of the line corrosion modeling field data MFL data
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