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author:(Smith OR Jones)
Empirical Prediction of Carbon-Steel Degradation Rates on an Offshore Oil and Gas Facility: Predicting CO2 Erosion-Corrosion Pipeline Failures Before They Occur
- Document Type
- Journal Paper
- Richard J. Barker (University of Leeds) | Xinming Hu (Wood Group Integrity Management) | Anne Neville (University of Leeds) | Susan Cushnaghan (Shell U.K. Limited)
- Document ID
- SPE Journal
- Publication Date
- Society of Petroleum Engineers
- 2013. Society of Petroleum Engineers
- 17 in the last 30 days
- 28 since 2007
Various sections of carbon-steel pipework removed from an offshore facilitywere found to have experienced severe degradation, partly attributed to aninsufficient inhibitor dose rate, as discussed in a previous case study (Hu etal. 2011b). An investigation was conducted to compare the predictive capabilityof an empirical model generated with data from a submerged-impinging-jetlaboratory apparatus. The model was assessed in its ability to determine therate of thickness loss for carbon-steel pipework subjected to aCO2-containing erosion-corrosion environment, reviewing to whatextent the prediction agrees with inspection data. The investigation considerswhether the developed tool could have predicted pipework failures on thefacility, comparing it with the degradation rate calculated from a leak thatoccurred within the past 2 years. The program of experiments set out to createa means of prediction with the material-loss data from submerged-impinging-jettests over a range of conditions replicating those within the line. Informationpertaining to the temperature, production rate, and sand loading was collatedfor the offshore facility. These data were used along with mass-loss results topredict the degradation rate on the asset as a function of time over a 5-yearperiod. This in turn was used to predict the total thickness loss of thepipework wall as a function of time. Consideration was also given to thecurrent use of inhibition (10 ppm Inhibitor A) as well as the predictedthickness losses as a function of time had a candidate inhibitor been usedinstead (50 ppm Inhibitor B). Limitations of the model are presented, alongwith suggestions for ways to develop the model further.
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