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09275 Pragmatic Effects of Flow on Corrosion Prediction

Picture for 09275 Pragmatic Effects of Flow on Corrosion Prediction
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Product Number: 51300-09275-SG
ISBN: 09275 2009 CP
Author: Binder Singh and Kana Krishnathasan
Publication Date: 2009
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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.

Keywords: ALARP (As Low As Reasonably Practicable), CO2 corrosion, corrosion allowance, corrosion resistant alloy (CRA), decision gates, erosion, fit for purpose solutions, inherently safe design, localized corrosion, life cycle performance, risk basis, top of line corrosion
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.

Keywords: ALARP (As Low As Reasonably Practicable), CO2 corrosion, corrosion allowance, corrosion resistant alloy (CRA), decision gates, erosion, fit for purpose solutions, inherently safe design, localized corrosion, life cycle performance, risk basis, top of line corrosion
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