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.

Subject
Water, Polymerase chain reaction, Corrosion rate, Iron sulfides, Solids, Bicarbonates, Localized pitting, Partial pressures, Corrosion modeling, Surface layers, Chlorides, Microbiologically influenced corrosion, Oil
Keywords:
Sour corrosion, sour corrosion model, pitting corrosion, localized corrosion, oil and gas production, model, prediction
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2016
Association for Materials Protection and Performance (AMPP)
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