Safety systems for the oil and gas industrial facilities: Design, maintenance policy choice, and crew scheduling
Системы безопасности для нефтегазовых промышленных объектов: проектирование, выбор политики технического обслуживания и расписание персонала
2021-02-15
SCID: 54.1/8wtmejq3
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Markov modelSafety Instrumented Systemsdiverse redundancymaintenance policymulti-objective decision-making
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Abstract (AI)
The technology of oil and gas production is associated with significant hazards. Safety Instrumented Systems (SIS) are designed to ensure proper and safe operations in this sector. This research presents a framework that produces reasonable recommendations (requirements specification) for the SIS design and maintenance with consideration of the three key perspectives relevant to any petroleum engineering project, namely those of facility operators, engineering contractors, and the authorities. The contribution of this research to the area of engineering design is simultaneously addressing the decisions on the SIS design, organization of its maintenance, and employee scheduling for the remotely-located hazardous industrial facilities. These decisions are made based on the choice of maintenance policies incorporated into a Markov model of the system functioning. Another contribution of this research to the reliability modeling area is incorporating diverse redundancy into the modeling and decision-making framework. Thus, this research explores a trade-off between the capital investments into the SIS’s design complexity and the operational expenditures associated with system maintenance and expected losses due to potential hazards. The developed multi-objective decision-making framework requires a black-box optimization approach to produce results. This research is relevant to engineering departments and contractors specializing in designing technological solutions for the petroleum sector.
Key Findings
1
A framework is presented that generates requirements specifications for SIS design and maintenance incorporating perspectives of operators, contractors, and authorities.
2
A multi-objective decision-making formulation trades off capital investments, operational maintenance expenditures, and expected hazard-related losses, solved via black-box optimization.
3
Decisions on SIS design, maintenance organization, and employee scheduling for remote hazardous facilities are jointly addressed in the framework.
4
Maintenance policy choices are incorporated into a Markov model to inform SIS design and operational decisions.
5
The framework incorporates diverse redundancy into reliability modeling and decision-making.
Research Object
Safety Instrumented Systems (SIS) for oil and gas industrial facilities
Research Subject
Design choices, maintenance policy selection (via Markov modeling and diverse redundancy), and crew (employee) scheduling trade-offs balancing capital design complexity, operational maintenance costs, and expected hazard-related losses within a multi-objective decision-making/black-box optimization framework
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2021-02-15
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