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Journal of Materials Exploration and Findings

Abstract

RBI and TBI strategies are comparatively reviewed in terms of their contribution to maintaining asset integrity for asset owners in the hydrocarbon and chemical industries. The objective is to assess various methods on a cost-efficient and risk-managed operational safety basis. It utilizes common industry standards such as API 580 for RBI, and API 510, API 570, and API 653 for TBI, and also case studies and literature analysis. The analysis of data was conducted to examine how each approach deals with inspection planning and decision-making. They suggest that RBI's risk-based prioritization strategy leads to more effective management of high-risk assets, while TBI is simpler and standardized, but could potentially result in over-inspections or overlook emerging risks. The review thus suggests a customized strategy taking account of both RBI and TBI in order to adequately meet requirements related to operational processes, risk exposure, and compliance.

References

API, 2016. American Petroleum Institute (API) RP 580 Risk-based Inspection. 3rd Edition ed. Washington, DC: API Publisher.

API, 2019. American Petroleum Institute (API) 581 Risk-based inspection methodology. 3rd Edition ed. Washington, DC: API Publishing Services.

API, 2020. American Petroleum Institute (API) 653: Tank inspection, repair, alteration, and reconstruction. 5th Edition ed. Washington, DC: API Publishing Services.

API, 2022. American Petroleum Institute (API) 510 Pressure vessel inspection code: In-service inspection, rating, repair, and alteration. 11th Edition ed. Washington, DC: API Publishing Services.

API, 2023. American Petroleum Institute (API) 570 Piping inspection code: In-service inspection, rating, repair, and alteration of piping systems. 4th Edition ed. Washington, DC: API Publishing Services.

Arena, S. et al., 2022. A novel decision support system for managing predictive maintenance strategies based on machine learning approaches. Safety Science, Volume 146.

Babaeian, A. et al., 2023. Risk-based inspection (RBI) of a gas pressure reduction station. Journal of Loss Prevention in the Process Industries, Volume 84.

Bertolini, M., Bevilacqua, M., Ciarapica, F. E. & Giacchetta, G., 2009. Development of Risk-Based Inspection and Maintenance procedures for an oil refinery. Journal of Loss Prevention in the Process Industries, Volume 22, p. 244–253.

Bhatia, K., Khan, F., Patel, H. & Abbassi, R., 2019. Dynamic risk-based inspection methodology. Journal of Loss Prevention in the Process Industries, Volume 62.

Bousdekis, A., Lepenioti, K., Apostolou, D. & Mentzas, G., 2019. Decision Making in Predictive Maintenance: Literature Review and Research Agenda for Industry 4.0. IFAC PapersOnLine, Volume 52-13, p. 607–612.

Campari, A., Ustolin, F. & Alvaro, A., 2023. A review on hydrogen embrittlement and risk-based inspection of hydrogen technologies. International Journal of Hydrogen Energy, Volume 4 8, pp. 35316-35346.

CCPS, 2017. Guidelines for asset integrity management. New Jersey: John Wiley & Sons.

Chang, M. K., Chang, R. R., Shu, C. M. & Lin, K. N., 2005. Application of risk-based inspection in refinery and processing piping. Journal of Loss Prevention in the Process Industries, Volume 18, p. 397–402.

Collina, G. et al., 2024. Hydrogen in Glass Sector: A Comparison between Risk-Based Maintenance and Time-Based Maintenance Approaches. IFAC PapersOnLine, Volume 58-8, p. 109–114.

Dabagh, S. et al., 2022. Self-Adaptive Risk-Based Inspection Planning in Petrochemical industry by evolutionary algorithms. Journal of Loss Prevention in the Process Industries, Volume 77.

DeFriend, S. et al., 2008. A risk-based approach to flammable gas detector spacing. Journal of Hazardous Materials, Volume 159, p. 142–151.

Ding, L., Khan, F. & Ji, J., 2020. Risk-based safety measure allocation to prevent and mitigate storage fire hazards. Process Safety and Environmental Protection, Volume 135, p. 282–293.

Energy, L. R., 2015. Financial and Safety Case for Risk-Based Inspection Embedded in IBM Maximo, UK: Lloyd's Register.

Espinoza, C. & Mahajanam, S., 2018. Four Realized Benefits of A Transition From A Time-Based to A Risk-Based Inspection Approach. Inspectioneering Journal, 24(2).

Hameed, A. & Khan, F., 2014. A framework to estimate the risk-based shutdown interval for a processing plant. Journal of Loss Prevention in the Process Industries, Volume 32, pp. 18-29.

Hameed, A., Khan, F. & Ahmed, S., 2016. A risk-based shutdown inspection and maintenance interval estimation considering human error. Process Safety and Environmental Protection, Volume 1 0 0, p. 9–21.

Hassan, J. & Khan, F., 2012. Risk-based asset integrity indicators. Journal of Loss Prevention in the Process Industries, Volume 25, pp. 544-554.

Javid, Y., 2021. A bi-objective mathematical model to determine risk-based inspection programs. Process Safety and Environmental Protection, Volume 146, p. 893–904.

Jovanovic, A., 2003. Risk-based inspection and maintenance in power and process plants in Europe. Nuclear Engineering and Design, Volume 226, p. 165–182.

Kang, J., Masry, Z. A., Varnier, C. & Mosallam, A., 2024. A data quality management framework for equipment failure risk estimation: Application to the oil and gas industry. Engineering Applications of Articial Intelligence, Volume 136.

Keshavarz, G., Thodi, P. & Khan, F., 2012. Risk-based shutdown management of LNG units. Journal of Loss Prevention in the Process Industries, Volume 25, pp. 159-165.

Khan, F. I. & Haddara, M. M., 2003. Risk-based maintenance (RBM): a quantitative approach for maintenance/inspection scheduling and planning. Journal of Loss Prevention in the Process Industries, Volume 16, p. 561–573.

Khan, F. I., Sadiq, R. & Haddara, M. M., 2004. Risk-based inspection and maintenance (RBIM) Multi-attribute Decision-making with Aggregative Risk Analysis. Process Safety and Environmental Protection, Volume 82(B6), p. 398–411.

Liao, K. et al., 2023. Improvement of integrity management for pressure vessels based on risk assessment - A natural gas separator case study. Journal of Loss Prevention in the Process Industries, Volume 83.

Moura, M. d. C. et al., 2015. A Multi-Objective Genetic Algorithm for determining of cient Risk-Based Inspection programs. Reliability Engineering and System Safety, Volume 133, p. 253–265.

Oropallo, E. et al., 2024. A decision support system to assess the operational safety and economic benefits of risk-based inspection implementation strategies. Safety Science, Volume 177.

Rachman, A. & Chandima Ratnayake, R. M., 2019. Machine learning approach for risk-based inspection screening assessment. Reliability Engineering and System Safety, Volume 185, p. 518–532.

Schroder, H. C. & Kauer, R., 2004. Regulatory requirements related to risk-based inspection and maintenance. International Journal of Pressure Vessels and Piping, Volume 81, p. 847–854.

Shishesaz, M. R., Bajestani, M. N., Hashemi, S. J. & Shekari, E., 2013. Comparison of API 510 pressure vessels inspection planning with API 581 risk-based inspection planning approaches. International Journal of Pressure Vessels and Piping, Volume 111-112, pp. 202-208.

Shuai, J., Han, K. & Xu, X., 2012. Risk-based inspection for large-scale crude oil tanks. Journal of Loss Prevention in the Process Industries, Volume 25, pp. 166-175.

Singh, M. & Markeset, T., 2009. A methodology for risk-based inspection planning of oil and gas pipes based on fuzzy logic framework. Engineering Failure Analysis, Volume 16, p. 2098–2113.

Singh, M. & Pokhrel, M., 2018. A Fuzzy logic-possibilistic methodology for risk-based inspection (RBI) planning of oil and gas piping subjected to microbiologically in uenced corrosion (MIC). International Journal of Pressure Vessels and Piping, Volume 159, p. 45–54.

Song, J. S. et al., 2021. Quantitative risk-based inspection approach for high-energy piping using a probability distribution function and modification factor. International Journal of Pressure Vessels and Piping, Volume 189.

Tien, S. W., Hwang, W. T. & Tsai, C. H., 2007. Study of a risk-based piping inspection guideline system. ISA Transactions, Volume 46, p. 119–126.

Vianello, C. et al., 2016. A risk-based tool to support the inspection management in chemical plants. Journal of Loss Prevention in the Process Industries, Volume 41, pp. 154-168.

Wang, G. et al., 2011. Risk Based Inspection on the equipment of low-density polyethylene. Procedia Engineering, Volume 15, p. 1145–1148.

Zhaoyang, T. et al., 2011. An evaluation of maintenance strategy using risk-based inspection. Safety Science, Volume 49, p. 852–860.

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