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The safety of operations is vital in any process in the oil and gas sector, especially given that increasingly more hydrocarbon reserves are discovered in non-conventional remote and Arctic locations. Safety systems are designed as a part of a complex IT system for process control. The design of these systems is conducted in the form of an engineering project. This research presents a decision-making framework to facilitate formulating clear and comprehensive recommendations for the requirements specification developed for the safety systems. The contribution of this research to the strategic planning area of IT solutions for hazardous industrial facilities is integrating the problems of designing a safety system, planning its maintenance, and scheduling the employees to conduct the required maintenance. With this joint decision-making, it is possible to explore trade-offs between investments into the systems’ complexity and workforce-related expenditures throughout the solution’s lifecycle. The reliability modelling is conducted with the help of Markov analysis. The multi-objective decisionmaking framework is employed to deduce straightforward requirements to the safety system design, maintenance strategy, and workforce organisation. This research is relevant to managing the petroleum sector engineering projects with regard to the design of technological solutions.
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Tom
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1--21
Opis fizyczny
Bibliogr. 31 poz., tab., wykr.
Twórcy
autor
- Molde University College, Norway
autor
- National University of Oil and Gas
autor
- Molde University College, Norway
Bibliografia
- Bastos, Y. B., Fleck, J. L., & Martinelli, R. (2020). A stochastic programming approach for offshore flight scheduling. IFAC-PapersOnLine, 53(4), 478-484.
- Bird, K. J., Charpentier, R. R., Gautier, D. L., Houseknecht, D. W., Klett, T. R., Pitman, J. K., Moore, T. E., Schenk, Ch. J., Tennyson, M. E., & Wandrey, C. R. (2008). Circum-Arctic resource appraisal: Estimates of undiscovered oil and gas north of the Arctic Circle. Fact Sheet, No. 2008-3049. US Geological Survey.
- Boudreaux, M. (2010). Safety Lifecycle Seminar. Emerson Global Users Exchange - Annual Technical Conference, 27 September - 1 October, 2010. San Antonio, Texas, the USA.
- British Petroleum (BP). (2022). BP Statistical Review of World Energy. London, UK.
- Bukowski, J. V. (2006). Using Markov models to compute probability of failed dangerous when repair times are not exponentially distributed. Annual Reliability and Maintainability Symposium (RAMS’06), IEEE, 273- 277.
- Castillo-Salazar, J. A., Landa-Silva, D., & Qu, R. (2016). Workforce scheduling and routing problems: literature survey and computational study. Annals of Operations Research, 239(1), 39-67.
- Centre for Chemical Process Safety (CCPS). (2010). Guidelines for Safe Process Operations and Maintenance. John Wiley & Sons.
- Dantzig, G. B. (1954). Letter to the editor – A comment on Edie’s Traffic delays at toll booths. Journal of the Operations Research Society of America, 2(3), 339-341.
- De La Vega, J., Santana, M., Pureza, V., Morabito, R., Bastos, Y., & Ribas, P. C. (2022). Model - based solution approach for a short-term flight rescheduling problem in aerial passenger transportation to maritime units. International Transactions in Operational Research, 29(6), 3400-3434.
- Deb, K. (2001). Multi-Objective Optimization using Evolutionary Algorithms. John Wiley & Sons.
- Gabriel, A., Ozansoy, C., & Shi, J. (2018). Developments in SIL determination and calculation. Reliability Engineering & System Safety, 177, 148-161.
- Goble, W. M. (2010). Control Systems Safety Evaluation and Reliability, 3rd ed. Research Triangle Park: ISA.
- Health and Safety Executive (HSE). (2003). Out of Control, 2nd ed. HSE Books, UK.
- Helber, S., & Henken, K. (2010). Profit-oriented shift scheduling of inbound contact centers with skills-based routing, impatient customers, and retrials. OR Spectrum, 32(1), 109-134.
- Hermeto, N. D. S. S., Ferreira Filho, V. J. M., & Bahiense, L. (2014). Logistics network planning for offshore air transport of oil rig crews. Computers & Industrial Engineering, 75, 41-54.
- International Electrotechnical Commission (IEC) 61508. (1998/2010). Functional Safety of Electrical/Electronic/Programmable Electronic Safety Related Systems. IEC, Geneva, Switzerland.
- International Electrotechnical Commission (IEC) 61511. (2003/2016). Functional Safety – Safety Instrumented Systems for the Process Industry. IEC, Geneva, Switzerland.
- Jin, H., Lundteigen, M. A., Rausand, M. (2011). Reliability performance of safety instrumented systems: A common approach for both low-and high-demand mode of operation. Reliability Engineering & System Safety, 96(3), 365-373.
- Kuo, W., & Zuo, M. J. (2003). Optimal reliability modeling. Principles and applications.
- Mellemvik, F., Bambulyak, A., Gudmestad, O., Overland, I., & Zolotukhin, A. (2015). International Arctic Petroleum Cooperation. New York: Routlege.
- Redutskiy, Y. (2017). Optimization of safety instrumented system design and maintenance frequency for oil and gas industry processes. Management and Production Engineering Review, 8(1), 46-59.
- Redutskiy, Y. (2018). Pilot study on the application of employee scheduling for the problem of safety instrumented system design and maintenance planning for remotely located oil and gas facilities. Engineering Management in Production and Services, 10(4), 55- 64.
- Redutskiy, Y., Camitz-Leidland, C. M., Vysochyna, A., Anderson, K. T., & Balycheva, M. (2021). Safety systems for the oil and gas industrial facilities: Design, maintenance policy choice, and crew scheduling. Reliability Engineering & System Safety, 210, 107545.
- Soriano, J., Jalao, E. R., & Martinez, I. A. (2020). Integrated employee scheduling with known employee demand, including breaks, overtime, and employee preferences. Journal of Industrial Engineering and Management, 13(3), 451-63.
- Srivastav, H., Barros, A., & Lundteigen, M. A. (2020). Modelling framework for performance analysis of SIS subject to degradation due to proof tests. Reliability Engineering & System Safety, 195, 106702.
- STC Industrial Safety (Closed Joint-Stock Company Scientific technical center of industrial safety problems research). (2014). Federal law “On industrial safety of hazardous production facilities” STC Industrial safety CJSC, Moscow, Russia.
- The Norwegian Oil and Gas Association. (2018). 070 – Application of IEC61508 and IEC61511 in the Norwegian Petroleum Industry, Norwegian Oil and Gas, Sandnes, Norway.
- Torres-Echeverria, A. C. (2009). Modelling and optimization of Safety Instrumented Systems based on dependability and cost measures. PhD thesis, The University of Sheffield, Sheffield, the UK.
- Torres-Echeverria, A. C., Martorell, S., & Thompson, H. A. (2012). Multi-objective optimization of design and testing of safety instrumented systems with MooN voting architectures using a genetic algorithm. Reliability Engineering & System Safety, 106, 45-60.
- Vieira, T., De La Vega, J., Tavares, R., Munari, P., Morabito, R., Bastos, Y., & Ribas, P. C. (2021). Exact and heuristic approaches to reschedule helicopter flights for personnel transportation in the oil industry. Transportation Research Part E: Logistics and Transportation Review, 151, 102322.
- Zhao, J., Si, S., & Cai, Z. (2019). A multi-objective reliability optimization for reconfigurable systems considering components degradation. Reliability Engineering & System Safety, 183, 104-115.
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-a1003c71-62e8-440d-845c-a163a58b14ce