| 1. |
- Bačkalov, I., et al.
(författare)
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Ship stability, dynamics and safety : Status and perspectives from a review of recent STAB conferences and ISSW events
- 2016
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Ingår i: Ocean Engineering. - : Elsevier. - 0029-8018 .- 1873-5258. ; 116, s. 312-349
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Forskningsöversikt (refereegranskat)abstract
- In Naval Architecture, the concept of "stability" has a very wide meaning, embracing ship stability fundamentals with ship dynamics and ultimately ship safety. As such, the subject is of paramount importance for its wide implications on design and operation of ships and floating units. Research in this field has, therefore, an important impact on the fleet safety, and the International Conferences on Stability of Ships and Ocean Vehicles (STAB Conferences) and the International Ship Stability Workshops (ISSW) are certainly the venues where expertise and contemporary developments in this specific field tend to be collected and thoroughly debated. With the aim of analysing the current status and possible future perspectives of research in the field of ship stability, dynamics and safety, this paper provides an extensive review of the findings presented at STAB Conferences and ISSW events in the period 2009-2014. The reviewed material is organised according to a set of identified macro-topics of research. On the basis of the reviewed material, consolidated research topics as well as emerging subjects are laid out, and ideas for possible future research are also brought forward. Discussion is also provided regarding the link between research and educational aspects.
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| 2. |
- Fam, Mei Ling, et al.
(författare)
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Data learning and expert judgment in a bayesian belief network for offshore decommissioning risk assessment
- 2018
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Ingår i: Safety and Reliability - Safe Societies in a Changing World. - : CRC Press/Balkema. ; , s. 397-406
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Konferensbidrag (refereegranskat)abstract
- Decommissioning of offshore facilities involve changing risk profiles at different decommissioning phases. Bayesian Belief networks (BBNs) are used as part of the proposed risk assessment method to capture the multiple interactions of a decommissioning activity. The Bayesian Belief network is structured from the data learning of an accident database and a modification of the BBN nodes to incorporate human factors and barrier performance modelling. The analysis covers one case study of one area of decommissioning operations by extrapolating well workover data to well plugging and abandonment. Initial analysis from well workover data, of a 5-node BBN provided insights on two different levels of severity of an accident, the “Accident” and “Incident” level, and on its respective profiles of the initiating events and the investigation-reported human causes. The initial results demonstrate that the data learnt from the database can be used to structure the BBN, and give insights on how human factors pertaining to well activities can be modelled, and that the relative frequencies can act as initial data input for the proposed nodes. It is also proposed that the integrated treatment of various sources of information (database and expert judgement) through a BBN model can support the risk assessment of a dynamic situation such as offshore decommissioning.
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