Failure Mode Effect Analysis for The Evaluation of Bop Major Offshore Oil and Gas Accidents

Authors

DOI:

https://doi.org/10.31181/sa21202416

Keywords:

Annular , Blind ram shear, Pipe and test ram, Risk priority number , Failure

Abstract

The blowout preventer (BOP) plays a vital role in preventing the uncontrolled release of oil and gas during drilling and exploration, thereby ensuring operational safety. To evaluate accidents related to BOPs in Europe, a study was conducted using Failure Modes and Effects Analysis (FMEA) on the BOP stack. The study identified and analyzed six critical components in the BOP stack, including annular, blind ram shear (BRS), casing ram shear (CRS), pipe and test ram, choke and kill valves, and connectors. These components are tightly connected and form a unified and fully functional BOP stack. The BOP stack is responsible for controlling downhole pressure by sealing the drill pipe to prevent uncontrolled fluid release and regulating fluid flow during operations. Additionally, it provides an additional layer of safety by quickly and effectively cutting the drill pipe or well casing to contain and control an explosion emergency. Each component has ten (10) failure mechanisms that can cause accidents in the industry. The study found that mechanical, clogging, vibration, and hydrogen embrittlement failures were the most common reasons for failure mode codes (F1 to F10). Most of the outages were due to offshore oil and gas drilling systems. Corrosion and erosion, thermal fatigue, wear, performance, and internal and external failures were other critical failure mechanisms that significantly affected the system's operation. The analysis of risk priority numbers (RPNs) before and after the intervention for the assessment of the effectiveness of safety measures for the BOP stack, will provide valuable insights to empower industry experts in making informed decisions to mitigate the risk of well blowouts and releases in exploration, development, and production.

References

ADDIN Mendeley Bibliography CSL_BIBLIOGRAPHY [1] ‎ E. Ite, A., J. Ibok, U., U. Ite, M., & W. ‎Petters, S. (2013). Petroleum exploration and production: past and present environmental issues in the ‎Nigeria’s Niger Delta. American journal of environmental protection, 1(4), 78–90. DOI: 10.12691/env-1-4-2‎

‎[2] ‎MMRBH. (2016). The most common offshore and oilfield injuries. ‎https://www.mmrbhlawoffice.com/common-accidents-in-the-oil-and-gas-industry/‎

‎[3] ‎Harlow, W. F., Brantley, B. C., & Harlow, R. M. (2011). BP initial image repair strategies after the ‎deepwater horizon spill. Public relations review, 37(1), 80–83. DOI: 10.1016/j.pubrev.2010.11.005‎

‎[4] ‎Thompson, S. C. (2016). The BP gulf oil spill: what we have learned about civil liability and shared ‎responsibility. Loyola maritime law journal, 15, 249-375.‎

‎[5] ‎Ambekar, S., Edlabadkar, A., & Shrouty, V. (2013). A review: implementation of failure mode and effect ‎analysis. International journal of engineering and innovative technology, 2(8), 37–41. http://ijeit.com/vol ‎‎2/Issue 8/IJEIT1412201302_07.pdf‎

‎[6] ‎Xiao, N., Huang, H. Z., Li, Y., He, L., & Jin, T. (2011). Multiple failure modes analysis and weighted risk ‎priority number evaluation in FMEA. Engineering failure analysis, 18(4), 1162–1170. DOI: ‎‎10.1016/j.engfailanal.2011.02.004‎

‎[7] ‎Mechhoud, E. A., Rouainia, M., & Rodriguez, M. (2016). A new tool for risk analysis and assessment in ‎petrochemical plants. Alexandria engineering journal, 55(3), 2919–2931. DOI: 10.1016/j.aej.2016.05.013‎

‎[8] ‎Liu, Z., Liu, Y., Cai, B., Li, X., & Tian, X. (2015). Application of Petri nets to performance evaluation of ‎subsea blowout preventer system. ISA transactions, 54, 240–249. DOI: 10.1016/j.isatra.2014.07.003‎

‎[9] ‎Skogdalen, J. E., Utne, I. B., & Vinnem, J. E. (2011). Developing safety indicators for preventing offshore ‎oil and gas deepwater drilling blowouts. Safety science, 49(8–9), 1187–1199. DOI: 10.1016/j.ssci.2011.03.012‎

‎[10] ‎Bodsberg, L. (2017). SINTEF offshore blowout database. https://www.sintef.no/en/projects/1990/sintef-‎offshore-blowout-database/‎

‎[11] ‎IOGP. (2017). Safety Performance Indicators – 2017 data. The International Association of Oil & Gas ‎Producers (IOGP). https://www.iogp.org/bookstore/product/safety-performance-indicators-2017-data/‎

‎[12] ‎Panda, A., & Gupta, R. K. (2014). Making academic research more relevant: A few suggestions. IIMB ‎management review, 26(3), 156–169. DOI: 10.1016/j.iimb.2014.07.008‎

‎[13] ‎Kmenta, S., & Ishii, K. (2000). Scenario-based fmea: a life cycle cost perspective. Proceedings of the asme ‎design engineering technical conference (pp. 163–173). American Society of Mechanical Engineers. DOI: ‎‎10.1115/DETC2000/RSAFP-14478‎

‎[14] ‎Arabzad, S. M., Razmi, J., Tavakkoli-Moghaddam, R., & Ghorbani, M. (2012). Proposing a new approach ‎for supplier selection based on Kraljic’s model using FMEA and integer linear programming. Journal of ‎production and operations management, 3(1), 19–40. (In Persian). http://jpom.ui.ac.ir/article_19779_en.html‎

‎[15] ‎SAIPA. (2005). A guide for analyzing failure modes (FMEA). https://www.sgs.com/en/integrated-report

‎[16] ‎Nouri, J., Abbaspour, M., & Fard, M. T. (2010). Environmental risk assessment and management In an ‎educational unit, using FMEA method. Journal of environmental science and technology vol. 7 61, 7(3), 61-70. ‎‎(In Persian). http://sanad.iau.ir/en/Article/839310‎

‎[17] ‎Hosseini al-Madwari, S. M., Moghdasi, M., & Shafiizadeh Bafghi, M. (2011). Risk assessment by fmea ‎method and comparison of rpn before and after corrective action in bafg direct iron reduction projects. ‎‎7th congress of occupational health and safety. Civilica. (In Persian). https://civilica.com/doc/194989‎

‎[18] ‎Adl, J., Ghahramani, A., & others. (2005). Risk assessment in a sweetening unit in an Iranian Gas ‎Refinery. Journal of school of public health and institute of public health research, 3(4), 1-11. (In Persian). ‎https://sjsph.tums.ac.ir/article-1-222-fa.pdf

‎[19] ‎Jafari, M. J., & Gharari, N. (2009). TBM risk analysis using fmea. Proceeding 8th iranian tunneling conference ‎‎(pp. 18–20). Civilica. (In Persian). https://civilica.com/doc/63322‎

‎[20] ‎P. Sheikh Damanab, S.S. Alizadeh, Y. Rasoulzadeh, P. Moshashaie, S. V. (2015). Failure Modes and ‎Effects Analysis (FMEA) Technique: A Literature Review. Scientific journal of review, 6, 1–6. ‎https://doi.org/10.1016/j.heliyon.2020.e03161‎

‎[21] ‎Hollenback, J. J. (1977). Failure mode and effect analysis, SAE Technical Papers. Quality Press.‎

‎[22] ‎Kangavari, M., Salimi, S., Nourian, R., Omidi, L., & Askarian, A. (2015). An application of failure mode ‎and effect analysis (FMEA) to assess risks in petrochemical industry in Iran. Iranian journal of health, safety ‎& environment, 2(2), 257-263. (In Persian). http://www.ijhse.ir/index.php/IJHSE/article/download/75/54‎

‎[23] ‎Choi, Y. S., Young, D., Nešić, S., & Gray, L. G. S. (2013). Wellbore integrity and corrosion of carbon steel ‎in CO2 geologic storage environments: A literature review. International journal of greenhouse gas control, ‎‎16, 70–77. DOI: 10.1016/j.ijggc.2012.12.028‎

‎[24] ‎Shafiee, M., Elusakin, T., & Enjema, E. (2020). Subsea blowout preventer (BOP): Design, reliability, ‎testing, deployment, and operation and maintenance challenges. Journal of loss prevention in the process ‎industries, 66, 104170. DOI: 10.1016/j.jlp.2020.104170‎

‎[25] ‎Elusakin, T., Shafiee, M., & Adedipe, T. (2019). Towards implementing condition-based maintenance ‎‎(CBM) policy for offshore blowout preventer (bop) system. International conference on offshore mechanics ‎and arctic engineering (Vol. 58783, p. V003T02A076). American Society of Mechanical Engineers. DOI: ‎‎10.1115/OMAE2019-95539‎

‎[26] ‎Ilyushechkin, A., Schoeman, L., Carter, L., & Hla, S. S. (2023). Material challenges and hydrogen ‎embrittlement assessment for hydrogen utilisation in industrial scale. Hydrogen, 4(3), 599–619.‎

‎[27] ‎Wang, S., Zhang, L., Yu, P., Xu, Q., Fan, J., & Yu, J. (2022). Buried defect detection method for a blowout ‎preventer seal ring groove based on an ultrasonic phased array. Materials, 15(18), 6429–6444. DOI: ‎‎10.3390/ma15186429‎

‎[28] ‎Eyüboğlu, O. H., Dindar, B., & Ömer, G. (2020). Risk assessment by using failure modes and effects ‎analysis (fmea) based on power transformer aging for maintenance and replacement decision. 2020 2nd ‎global power, energy and communication conference (gpecom) (pp. 251–255). IEEE. ‎‎10.1109/GPECOM49333.2020.9247887‎

‎[29] ‎Burbano. (2015). No multi criteria risk analysis of a subsea bop system [Thesis]. Cranfield University. ‎https://dspace.lib.cranfield.ac.uk/handle/1826/11869.‎

‎[30] ‎Andrews, J., & Moss, T. (2002). Reliability and risk assessment. John Wiley & Sons.‎

‎[31] ‎Braglia, M. (2000). MAFMA: multi-attribute failure mode analysis. International journal of quality & ‎reliability management, 17(9), 1017–1033. DOI: 10.1108/02656710010353885‎

‎[32] ‎Sultan, M. A., Ahmed, M., Ali, Muzamil, & Babar, Gul Zaman. (2022). Understanding the Well Control ‎Procedures for optimizing the Well Control System during Drilling. American journal of computing and ‎engineering, 5(2), 24–38. DOI: 10.47672/ajce.1285‎

Published

2024-07-15

Data Availability Statement

All the used data are contained in the submitted manuscript.

How to Cite

Onyekwere, O. S., Haruna , A. D. ., & Azodo, A. P. (2024). Failure Mode Effect Analysis for The Evaluation of Bop Major Offshore Oil and Gas Accidents. Systemic Analytics, 2(1), 120-135. https://doi.org/10.31181/sa21202416