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98024 PREDICTION OF CO2 CORROSION IN OIL AND GAS WELLS. ANALYSIS OF SOME CASE HISTORIES

Picture for 98024 PREDICTION OF CO2 CORROSION IN OIL
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Product Number: 51300-98024-SG
ISBN: 98024 1998 CP
Author: Marina Cabrini, Gazmend Hoxha, Ardjan Kopliku, Luciano Lazzari, P. Pietro
Industry: Oil and Gas Production
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The prediction of the CO2 corrosion rate is quite important in the design of the corrosion control methods for well tubular, pipelines and other components in the Oil and Gas industry. The paper deals with the discussion of case histories relevant to the CO2 corrosion failure of carbon steel components in oil production. The morphology (uniform or localised attacks), corrosion rate, and operating conditions are examined and discussed comparing them to the output of the prediction models, available in the literature, for the CO2 corrosion prediction. Keywords: CO2 corrosion, prediction models.
The prediction of the CO2 corrosion rate is quite important in the design of the corrosion control methods for well tubular, pipelines and other components in the Oil and Gas industry. The paper deals with the discussion of case histories relevant to the CO2 corrosion failure of carbon steel components in oil production. The morphology (uniform or localised attacks), corrosion rate, and operating conditions are examined and discussed comparing them to the output of the prediction models, available in the literature, for the CO2 corrosion prediction. Keywords: CO2 corrosion, prediction models.
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A top-of-line corrosion (TLC) model integrated into a CO2/H2S corrosion prediction model. The TLC model determines the top of the line corrosion rate of carbon steel based on water chemistry and film-wise condensation rate. The effect of various glycols, such as Monoethylene Glycol, Diethylene glycol and Triethylene Glycol, are included.
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98026 MODELING THE DIFFUSION EFFECTS THROUGH THE IRON CARBONATE LAYER IN THE CARBON DIOXIDE CORROSION OF CARBON STEEL

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