NDLI: An expert-based approach to production performance analysis of oil and gas facilities considering time-independent Arctic operating conditions

Content Provider	Springer Nature Link
Author	Naseri, Masoud Barabady, Javad
Copyright Year	2015
Abstract	The availability and throughput of offshore oil and gas plants operating in the Arctic are adversely influenced by the harsh environmental conditions. One of the major challenges in quantifying such effects is lack of adequate life data. The data collected in normal-climate regions cannot effectively reflect the negative effects of harsh Arctic operating conditions on the reliability, availability, and maintainability performance of the facilities. Expert opinions, however, can modify such data. In an analogy with proportional hazard models, this paper develops an expert-based availability model to analyse the performance of the plants operating in the Arctic, while accounting for the uncertainties associated with expert judgements. The presented model takes into account waiting downtimes and those related to extended active repair times, as well as the impacts of operating conditions on components’ reliability. The model is illustrated by analysing the availability and throughput of the power generation unit of an offshore platform operating in the western Barents Sea.
Starting Page	99
Ending Page	113
Page Count	15
File Format	PDF
ISSN	09756809
Journal	International Journal of System Assurance Engineering and Management
Volume Number	7
Issue Number	1
e-ISSN	09764348
Language	English
Publisher	Springer India
Publisher Date	2015-09-15
Publisher Place	New Delhi
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Reliability, availability and maintainability analysis (RAM) Throughput Expert opinions Failure and repair rate Arctic operating conditions Oil and gas Quality Control, Reliability, Safety and Risk Engineering Economics, Organization, Logistics, Marketing
Content Type	Text
Resource Type	Article
Subject	Strategy and Management Safety, Risk, Reliability and Quality

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