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51316-7250-Sour Localized Pitting Corrosion Model of Carbon Steel: A Status Update

The sour model had been previously developed to predict localized internal pitting corrosion of carbon steel. This model included the effects of carbon dioxide (CO2), crude oil, temperature, pressure, flow, sulfur, sulfates, bicarbonates, chlorides and microbiologically influenced corrosion (MIC). The paper discusses  field use, merits, precautions and parameterization in using the model.

Product Number: 51316-7250-SG
ISBN: 7250 2016 CP
Author: Sankara Papavinasam
Publication Date: 2016
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The sour model had been previously developed to predict localized internal pitting corrosion of carbon steel. This model also included the effects of carbon dioxide (CO2), crude oil, temperature, pressure, flow, sulfur, sulfates, bicarbonates, chlorides and microbiologically influenced corrosion (MIC). This sour localized pitting corrosion was based on experiments carried out in the laboratory at high pressure and high temperature, on field tests carried out over a period of four years, and on analysis of field data. The sour localized pitting corrosion model had further been integrated with flow model. The flow model predicted locations susceptible for water accumulation and the sour corrosion model then predicted localized pitting corrosion rates in those locations where water accumulated. The model further accounted for the variation in the field operating conditions including variation of flow velocity, flow regimes, time, and operating boundaries.

In this paper, status of field use of the sour localized pitting corrosion model, merits of the sour localized pitting corrosion model, precautions in using the model, and methods to select appropriate models are discussed.

Keywords: Downloadable, Sour corrosion, sour corrosion model, pitting corrosion, localized corrosion, oil and gas production, model, prediction

 

The sour model had been previously developed to predict localized internal pitting corrosion of carbon steel. This model also included the effects of carbon dioxide (CO2), crude oil, temperature, pressure, flow, sulfur, sulfates, bicarbonates, chlorides and microbiologically influenced corrosion (MIC). This sour localized pitting corrosion was based on experiments carried out in the laboratory at high pressure and high temperature, on field tests carried out over a period of four years, and on analysis of field data. The sour localized pitting corrosion model had further been integrated with flow model. The flow model predicted locations susceptible for water accumulation and the sour corrosion model then predicted localized pitting corrosion rates in those locations where water accumulated. The model further accounted for the variation in the field operating conditions including variation of flow velocity, flow regimes, time, and operating boundaries.

In this paper, status of field use of the sour localized pitting corrosion model, merits of the sour localized pitting corrosion model, precautions in using the model, and methods to select appropriate models are discussed.

Keywords: Downloadable, Sour corrosion, sour corrosion model, pitting corrosion, localized corrosion, oil and gas production, model, prediction

 

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