Management of Microbiologically Influenced Corrosion in Risk-Based Inspection Analysis
- Torben Lund Skovhus (VIA University College, Denmark) | Erlend Stokstad Andersen (Øst-Riv A/S) | Elizabeth Hillier (DNV GL)
- Document ID
- Society of Petroleum Engineers
- SPE Production & Operations
- Publication Date
- February 2018
- Document Type
- Journal Paper
- 121 - 130
- 2018.Society of Petroleum Engineers
- Molecular Microbiological Methods (MMM), MIC, Risk Based Inspection (RBI), Biocorrosion
- 3 in the last 30 days
- 249 since 2007
- Show more detail
- View rights & permissions
|SPE Member Price:||USD 5.00|
|SPE Non-Member Price:||USD 35.00|
Operating offshore oil and gas production facilities is often associated with high risk. To manage the risk, operators commonly use aids to support decision making in the establishment of a maintenance and inspection strategy. Risk-based inspection (RBI) analysis is widely used in the offshore industry as a means to justify the inspection strategy adopted.
The RBI analysis is a decision-making technique that enables asset managers to identify the risk related to failure of their most critical systems and components, with an effect on safety, environmental, and business-related issues. Risk is a measure of possible loss or injury, and is expressed as the combination of the incident probability and its consequences. A component may have several associated risk levels, depending on the different consequences of failure and the different probabilities of those failures occurring.
Microbiologically influenced corrosion (MIC) is a degradation mechanism that has received increased attention from corrosion engineers and asset operators in the past decades. In this paper, the most recent models that have been developed to assess the impact of MIC on asset integrity will be presented and discussed.
From a risk perspective, the current models do not satisfactorily assess MIC, and the models lack a proper view of the MIC threat. Therefore, a review of known parameters that affect MIC is presented. The mapping and identification of parameters are based on the review of past models and an extensive up-to-date literature study.
The parameters are discussed and subsequently combined in a novel procedure that allows the assessment of MIC in an RBI analysis. The procedure is subdivided into one screening step and a detailed assessment, which fits the recommended approach to assess risk in an RBI analysis. To illustrate the practical application of the developed procedure, a field case is presented.
|File Size||775 KB||Number of Pages||10|
Allison, P. W., Sahar, R. N. R. R., Guan, O. H. et al. 2008. The Investigation of Microbial Activity in an Offshore Production Pipeline System and the Development of Strategies To Manage the Potential for Microbiologically Influenced Corrosion. Presented at the Corrosion 2008 Conference and Expo: NACE International, New Orleans, 16–20 March. NACE-08651.
Andersen, E. S. 2014. Development of a Procedure for the Assessment of Microbiologically Influenced Corrosion in Risk-Based Inspection Analysis. MS thesis, University of Stavanger, Stavanger, Norway.
DNV-RP-G101, Risk-Based Inspection of Offshore Topsides Static Mechanical Equipment. 2010. Hovik: DNV GL (rules.dnvgl.com/docs/pdf/DNV/codes/docs/2010-10/RP-G101.pdf).
Jensen, M. L., Jensen, J., Lundgaard, T. et al. 2013. Improving Risk-Based Inspection With Molecular Microbiological Methods. Presented at the Corrosion 2013 Conference and Expo: NACE International, Orlando, Florida, USA, 17–21 March. NACE-2013-2247.
Larsen, J., Juhler, S., Sorensen, K. B. et al. 2013. The Application of Molecular Microbiological Methods for Early Warning of MIC in Pipelines. Presented at the Corrosion 2013 Conference and Expo: NACE International, Orlando, Florida, USA, 17–21 March. NACE-2013-2029.
Little, B. and Lee, J. 2007. Microbiologically Influenced Corrosion. New Jersey: Wiley.
Mariuou-Dahle, E. and Skovhus, T. L. 2012. Produced Water Management Lessons From the Ula & Valhall Fields. Presented at the TEKNA Produced Water Management 2012, Stavanger, Norway.
Markoff, C. and Larsen, E. 2010. Managing MIC at Valhall. Presented at the TEKNA Oilfield Chemistry Symposium 2010, Geilo, Norway. Petroleum Abstracts (University of Tulsa, USA).
Maxwell, S. and Campbell, S. 2006. Monitoring the Mitigation of MIC Risk in Pipelines. Presented at the Corrosion 2006 Conference and Expo: NACE International, San Diego, California, USA. 06662.
Maxwell, S. 2006. Predicting Microbiologically Influenced Corrosion (MIC) in Seawater Injection Systems. Presented at the SPE International Conference and Exhibition on Oilfield Corrosion, Aberdeen, 30 May. SPE-100519-MS. https://doi.org/10.2118/100519-MS.
Pots, B. F. M., Randy, C. J., Rippon, I. J. et al. 2002. Improvement on De Waard-Milliams Corrosion Prediction and Applications to Corrosion Management. Presented at the Corrosion 2002 Conference and Expo: NACE International, Denver, 7–11 April. NACE-02235.
RP0775-2005, Preparation, Installation, Analysis, and Interpretation of Corrosion Coupons in Oilfield Operations. 2005. Houston: NACE International. (nace.org/standards). NACE-SP0775-2013.
Skovhus, T. L., Holmkvist, L., Andersen, K. et al. 2012. MIC Risk Assessment of the Halfdan Oil Export Spool. Presented at the SPE International Conference and Workshop on Oilfield Corrosion, Aberdeen, 28–29 May. SPE-155080-MS. https://doi.org/10.2118/155080-MS.
Skovhus, T. L., Caffrey, S. M, and Hubert, C. R. J. 2014. Applications of Molecular Microbiological Methods. Norfolk: Caister Academic Press.
Skovhus, T. L., Enning, D., and Lee, J. S. 2017. Microbiologically Influenced Corrosion in the Upstream Oil and Gas Industry. Boca Raton: CRC Press.
Sooknah, R., Papavinasa, S., and Revie, R. W. 2007. Modelling the Occurrence of Microbiologically Influenced Corrosion. Presented at the Corrosion 2007 Conference and Expo: NACE International, Nashville, Tennessee, USA, 11–15 March. NACE-07515.
Sørensen, K. B., Thomsen, U. S., Juhler, S. et al. 2012. Cost-Efficient MIC Management System Based On Molecular Microbiological Methods. Presented at the Corrosion 2012 Conference and Expo: NACE International, Salt Lake City, Utah, USA, 11–15 March. NACE-2012-1111.
Taxèn, C., Comanescu, I., and Melchers, R. E. 2012. Framework Model for Underdeposit Corrosion in Water-Injection Pipelines. BIOCOR RSP2: Oil and Gas.
TM0212-2012, Detection, Testing, and Evaluation of Microbiologically Influenced Corrosion on Internal Surfaces of Pipelines. 2012. Houston: NACE International. (nace.org/standards)
Whitby, C. and Skovhus, T. L. 2011. Applied Microbiology and Molecular Biology in Oilfield Systems. New York: Springer Publisher.