A methodology for risk-based inspection planning of oil and gas pipes based on fuzzy logic framework

Engineering Failure Analysis

Volumn 16, Issue 7, 2009, Pages 2098-2113

  Singh, Maneesh ^a,b   Markeset, Tore ^a  

^a UNIVERSITY OF STAVANGER   (Norway)

^b AGR EmiTeam   (Norway)

Author keywords

Corrosion; Failure analysis; Pipeline failures; Structural integrity

Indexed keywords

COMPLEX COMPUTATION; DETERMINISTIC MODELS; FUZZY VARIABLE; GAS AND LIQUID FLOWS; IMPRECISE INFORMATION; MAINTENANCE ENGINEERS; MAINTENANCE STRATEGIES; MATHEMATICAL TOOLS; OIL AND GAS; OPERATING PARAMETERS; PERSONAL EXPERIENCE; PIPE INTEGRITY; PIPELINE FAILURES; RATE OF CORROSIONS; RISK BASED INSPECTION; RISK OF FAILURE; TOTAL PRESSURE;

CARBON STEEL; CORROSION; FAILURE ANALYSIS; FUZZY SETS; HEALTH RISKS; INSPECTION; MAINTAINABILITY; PIPE; PIPELINES; QUALITY ASSURANCE; RISK PERCEPTION; SAFETY FACTOR; STRUCTURAL INTEGRITY;

FUZZY LOGIC;

EID: 67649583202     PISSN: 13506307     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engfailanal.2009.02.003     Document Type: Article

References (32)

1. Zadeh L.A. From computing with numbers to computing with words - from manipulation of measurements to manipulation of perceptions. Int J Appl Math Comput Sci 12 3 (2002) 307-324
2. Anoop M.B., Rao K.B., and Rao T.V.S.R.A. Application of fuzzy sets for estimating service life of reinforced concrete structural members in corrosive environment. Eng Struct 24 (2002) 1229-1242
3. Bucolo M., Fortuna L., Nelke M., Rizzo A., and Sciacca T. Prediction models for the corrosion phenomena in pulp and paper plant. Control Eng Pract 10 (2002) 227-237
4. Guimaraes A.C.F. A new methodology for the study of FAC phenomenon based on a fuzzy rule system. Ann Nucl Energy 30 (2003) 853-864
5. Petermeier H., Benning R., Delgado A., Kulozik U., Hinrichs J., and Becker T. Hybrid model of the fouling process in tubular heat exchangers for the dairy industry. J Food Eng 55 (2002) 9-17
6. Ross T.J. Fuzzy logic with engineering applications (2004), John Wiley & Sons Ltd., Chichester
7. 2 corrosion. Corros Sci 41 (1999) 1231-1243
8. 2 corrosion. In: Proceedings of the CORROSION '96, paper no. 6. NACE International; 1996.
9. 2 corrosion of carbon steel. In: Proceedings of the CORROSION '93, paper no. 69. NACE International; 1993.
10. 2 corrosion engineering in wet natural gas pipelines. Corrosion December (1991) 978
11. de Waard C., and Milliams D.E. Carbonic acid corrosion of carbon steel. Corrosion 31 (1975) 177
12. 2 corrosion of carbon steel in pipe flow. In: Proceedings of the CORROSION '95, paper no. 118. NACE International; 1995.
13. 2 corrosion of carbon steel. In: Proceedings of the CORROSION '94, paper no. 14. NACE International; 1994.
14. Gunaltun YM. Combining research and field data for corrosion rate prediction. In: Proceedings of the CORROSION '96, paper no. 27. NACE International; 1996.
15. 2S production environments. In: Proceedings of the CORROSION '96, paper no. 11. NACE International; 1996.
16. Zhang R, Gopal M, Jepson WP. Development of a mechanistic model for predicting corrosion rate in multi-phase oil/water/gas flows. In: Proceedings of the CORROSION '97, paper no. 601. NACE International; 1997.
17. 2 corrosion - multiphase flow model. In: Proceedings of the CORROSION 2004, paper no. 04626. NACE International; 2004.
18. Nesic S, Cai J, Lee KLJ. A multiphase flow and internal corrosion prediction model for mild steel pipelines. In: Proceedings of the CORROSION 2005, paper no. 05556. NACE International; 2005.
19. 3 saturation at high temperatures and pressures in brine solutions. J Petrol Technol July (1982) 1583-1590
20. 2 corrosion rate calculation model. Lysaker (Norway): Standards Norway; 2005.
21. 2S induced cracking. Corros Sci 27 10/11 (1987) 109-1070
22. Herce JA, Wright EJ, Efird KD, Boros JA, Hailey TG. Effects of solution chemistry and flow on the corrosion of carbon steel in sweet production. In: Proceedings of the CORROSION '95, paper no. 111. NACE International; 1995.
23. 2 corrosion models in a three-phase fluid flow model. In: Proceedings of the CORROSION 2000, paper no. 00048. NACE International.
24. Nesic S, Xiao Y, Pots BFM. A quasi 2-D localized corrosion model. In: Proceedings of the CORROSION 2004, paper no. 04628. NACE International.
25. Vitse F, Nesic S, Gunaltun Y, de Torreben DL, Duchet-Suchaux P. Mechanistic model for the prediction of top-of-the-line corrosion risk. In: Proceedings of the CORROSION 2003, paper no. 03633. NACE International; 2003.
26. 2 corrosion control. In: Proceedings of the CORROSION '96, paper no. 29. NACE International; 1996.
27. IEC 1131 - programmable controllers. Part 7 - fuzzy control programming. Technical Committee No. 65: industrial process measurement and control. Sub-Committee 65 B: Devices, International Electrotechnical Commission (IEC); 1997.
28. Najjaran H, Sadiq R, Rajani BB. Fuzzy expert system to assess corrosion of cast/ductile iron pipes from backfill properties. Report no. NRCC-46912. National Research Council of Canada; 2006.
29. Melchers R.E. Representation of uncertainty in maximum depth of marine corrosion pits. Struct Safety 27 (2005) 322-334
30. API 581. Risk-based inspection base resource document. American Petroleum Institute; 2000.
31. NORSOK Standard M-001. Materials Selection. Lysaker (Norway): Standards Norway, 2004.
32. Nyborg R. Controlling internal corrosion in oil and gas pipelines. Oil Gas Rev, Bus Brief: Explor Prod 2 (2005) 70-74