Recent design work regarding deep Gulf of Mexico (GOM) subsea flowlines has emphasized the need to identify, develop, and verify critical relationships between corrosion prediction and flow regime mechanisms. In practice this often reduces to a pragmatic interpretation of the effects of flow on corrosion mechanisms. Most importantly the identification of positions or sites, within the internal surface contact areas where the maximum corrosion stimulus may be expected to occur, thereby allowing better understanding, mitigation, monitoring and corrosion control over the life cycle. Some case histories have been reviewed in this context, and the interaction between corrosion mechanisms and flow regimes closely examined, and in some cases correlated. Since the actual relationships are complex, it was determined that a risk based decision making process using selected 'what if' corrosion analyses linked to 'what if' flow assurance analyses was the best way forward. Using this methodology, and pertinent field data exchange, it is postulated that significant improvements in corrosion prediction can be made. This paper outlines the approach used and shows how relating corrosion modeling software data such as that available from corrosion models Norsok M506, and Cassandra to parallel computational flow modeling in a targeted manner can generate very noteworthy results, and considerably more viable trends for corrosion control guidance. It is postulated that the normally associated lack of agreement between corrosion modeling and field experience, is more likely due to inadequate consideration of corrosion stimulating flow regime data, rather than limitations of the corrosion modeling per se, thus tending to switch the immediate onus for corrosion prediction accuracy and reliability away from corrosion modeling over to the flow regime side. The subject matter is ongoing and it is envisaged that the predictions will be benchmarked against real field data as projects advance into each life cycle and generate field data and experience. This approach is expected to better quantify the lessons learnt aspect of each project, thereby helping improve future designs in a more cost effective manner, as well as attending better to challenges in the areas of deepwater and future arctic pipeline corrosion and integrity management, whereupon the need for inherently safe designs has become far more emphasized.


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