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51313-02170-Validation of Corrosion Models Using Field Data Obtained from Oil and Gas Production

Picture for Validation of Corrosion Models Using Field Data Obtained from Oil and Gas Production
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Product Number: 51313-02170-SG
ISBN: 02170 2013 CP
Author: Tesfaalem Gebremedhin Haile
Publication Date: 2013
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$20.00
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A model was previously developed to predict internal pitting corrosion of oil and gas pipelines. The model considers the influence of temperature total pressure H2S partial pressure CO2 partial pressure the concentrations of sulphide bicarbonate and chloride ions and the production rates of oil gas water and solids. The model was based on experiments carried out in the laboratory at high pressure and high temperature under the operating conditions of the oil and gas pipelines and was validated by field trials and using field data. The model accounts for the statistical nature of pitting corrosion. Recently a microbiologically influenced corrosion (MIC) risk model has been developed and merged with the internal pitting corrosion model so that the integrated model predicts the optimized pitting corrosion rate due to both non-MIC and MIC activities.  Twenty years field data was collected from 19 pipe sections of two in an oil and gas production field the validity of the model has been verified.

Keywords:  MIC SEM Pitting Modeling

A model was previously developed to predict internal pitting corrosion of oil and gas pipelines. The model considers the influence of temperature total pressure H2S partial pressure CO2 partial pressure the concentrations of sulphide bicarbonate and chloride ions and the production rates of oil gas water and solids. The model was based on experiments carried out in the laboratory at high pressure and high temperature under the operating conditions of the oil and gas pipelines and was validated by field trials and using field data. The model accounts for the statistical nature of pitting corrosion. Recently a microbiologically influenced corrosion (MIC) risk model has been developed and merged with the internal pitting corrosion model so that the integrated model predicts the optimized pitting corrosion rate due to both non-MIC and MIC activities.  Twenty years field data was collected from 19 pipe sections of two in an oil and gas production field the validity of the model has been verified.

Keywords:  MIC SEM Pitting Modeling

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