CO2 corrosion rate prediction method considering influence of corrosion product film
A corrosion product and corrosion rate technology, applied in chemical process analysis/design, instrumentation, computational theoretical chemistry, etc., can solve problems such as application limitations, complex production environment, and only applicable models
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Embodiment 1
[0115] On the basis of the corrosion prediction research carried out by nesic et al. (2010), combined with the published corrosion experimental conditions, experimental data and the classic corrosion experience / semi-empirical model proposed by the predecessors, the CO 2 Corrosion rate prediction model calculations were compared and verified. The specific implementation calculation results are as follows:
[0116] (1) The effect of temperature on low carbon steel CO 2The influence of corrosion rate, the experimental conditions are as follows: pH=4, ID=100mm, single phase pipe flow. Corrosion rate prediction method prediction value of the present invention and experimental value, people's prediction value such as nesic, de waard1991 semi-empirical model prediction value comparison see Figure 5 .
[0117] (2) CO 2 partial pressure on mild steel CO 2 The influence of corrosion rate, the experimental conditions are as follows: 60°C, pH=5, v=1m / s, ID=100mm, single-phase pipe...
Embodiment 2
[0120] Combined with Ma Hong et al.'s (2018) research on the influence of pipeline operating parameters on the corrosion behavior of No. 20 steel in the conveying medium, the CO proposed in the present invention 2 The calculation of the corrosion rate prediction model is compared and verified, and the prediction result is corrected by using the corrosion product film influence factor proposed by the present invention. The specific implementation calculation results are as follows:
[0121] (1) The experimental conditions are as follows: the experimental medium is formation water, the total pressure is 0.5MPa, CO 2 The partial pressure is 0.1MPa, the flow velocity is 1.5m / s, and the test time is 48 hours. According to the experimental conditions, the prediction value of the corrosion rate prediction method of the present invention is compared with the experimental value. Figure 10 After comparison, it is found that when the experimental temperature exceeds 60°C, the predicte...
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