An offshore safety system optimization using an SPEA2-based approach

Abstract

A safety system is an essential part of any industrial system as it operates to prevent the occurrence of certain conditions and their future development into a hazardous situation. Failure of such systems may have catastrophic consequences from small injuries to even death of members of the workforce and public, therefore, it is imperative to minimize safety system unavailability and also find the balance between its unavailability and other limitations on its operation, for example, life cycle cost and spurious trip frequency. Hence, a multi-objective optimization of the system design is required. This paper describes a design optimization scheme using multi-objective genetic algorithms (MOGAs) applied to a firewater deluge system (FDS) on an offshore platform, which works to supply on demand water and foam at a controlled pressure to a specific area on the platform, protected by the deluge system.

Software Architecture Optimization Methods: A Systematic Literature Review

“…For the model-based approaches, different quality evaluation techniques have been used, implied by the models used for specific quality attributes. As an example reliability block diagrams [57], [58], [63], [121], [136], [137], [149], [208], [217], discrete-time Markov chains [61], [96], [97], [165], [232], and fault trees [67], [184], [199] are used for reliability; queuing networks [35], [80], [143], [144], [168], [169], [171], [245], execution graphs [85], [107], [115], and discrete-time Markov chains [210] are used to evaluate performance; fault trees [8], [180], [184], [185], [201], [223] and binary decision diagrams [8], [185] are used for safety evaluation; continuous-time Markov chains [193], Markov decision processes [212], Petri-nets [194], and Markov reward models [165] are used for evaluation of a system's energy consumption. Quantitative metrics of the quality attributes are obtained by either mathematically analyzing or simulating the models.…”

Multi-objective optimization of safety instrumented systems maintenance strategy: a case study

“…Moreover, some facilities were implemented before the first work upon spurious activations of the SIS in 2008 (Lundteigen and Rausand, 2008; Torres-Echeverria, 2009; Riauke and Bartlett, 2008) where the spurious trips were neither known nor taken into consideration by the industrialists particularly in the oil and gas field.…”