Learning from failures: Accidents of marine structures on Norwegian continental shelf over 40 years time period

Ibrion, Michaela; Paltrinieri, Nicola; Nejad, Amir R.

doi:10.1016/j.engfailanal.2020.104487

Cited by 24 publications

(8 citation statements)

References 7 publications

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“…There are 44 case studies address the lack of accident causal factors' inter‐relation value. It is observed that accident analysis and causation modeling involve uncertainty in the analysis process 47–49 . The uncertainty may arise from inconsistent data and incomplete information on accident statistics.…”

Section: Resultsmentioning

confidence: 99%

A state of the art of the accident causation models in the process industries

Wicaksono

Ciptomulyono

Artana

et al. 2021

Process Safety Progress

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The comprehensive review of research literature in accordance with the implementations of the accident causation models enables knowledge incomes for the contributing authors towards the advancement of the accident causation methodologies for administering the accidents' causal factors. For obtaining this objective, the systematic literature review meta‐analysis are developed by evaluating the parameter indicator linked to the most utilized causation methods in addressing the contributing factors in process industries. The methodological review process called preferred reporting items for systematic reviews and meta‐analyses (PRISMA) is implemented in this paper due to its capability to integrate both systematic reviews and meta‐analysis. This systematic literature review deeply investigates 149 papers by a thorough reading from the filtered 387 manuscripts published in the academic SCOPUS databases during 1980–2020. Additionally, the statistical analysis t test is performed to identify the homogeneity of literature papers resulting from research conclusions. The suggested future improvement in the domain of accident causation models is the advancement of administering the accident causal factors' values of correlations and interdependencies. While particularly for quantified accident causation models, the adoption of uncertainty analysis needs to further developed as a research suggestion in the future.

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Section: Resultsmentioning

confidence: 99%

A state of the art of the accident causation models in the process industries

Wicaksono

Ciptomulyono

Artana

et al. 2021

Process Safety Progress

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“…Human losses are estimated conservatively based on (Gunter et al 2013), (Ibrion et al 2020) using the Equivalent Fatality Concept (IMO 2015). Accordingly, for instance, two human fatalities equal 20 cases of severe injury or 200 cases of minor injuries.…”

Section: Evaluation Of the Traditional Support Fleet Performancementioning

confidence: 99%

An Artificial Bee Colony optimization-based approach for sizing and composition of Arctic offshore drilling support fleets considering cost-efficiency

Kondratenko

Bergström

Suominen

et al. 2022

Ship Technology Research

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This article presents an optimization-based approach for sizing and composition of an Arctic offshore drilling support fleet considering cost-efficiency. The approach studies the main types of duties related to Arctic offshore drillings: supply, towing, anchor handling, standby, oil spill response, firefighting, and ice management. The approach considers the combined effect of the expected costs of accidental events, the versatility of individual support vessels, and ice management. The approach applies an Artificial Bee Colony algorithm-based optimization procedure. As demonstrated through case studies, the approach may help to find a range of cost-efficient fleet compositions. Some of the obtained solutions are similar to corresponding real-life fleets, indicating that the approach works in principle. Sensitivity analyses indicate that the consideration of the expected costs from accidental events significantly impacts the obtained solution, and that investments to reduce these costs may improve the overall cost-efficiency of an Arctic offshore drilling support fleet.

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“…This higher wind energy density brings with it new challenges for the offshore wind industry, particularly the mooring system [2,3]. One of the main challenges with mooring systems is their high rate of failure, as experienced in the oil and gas industry with 296 mooring system accidents in a roughly 40-year period [5], and an annual probability of failure during 2001-2011 estimated at 3.0 × 10 −3 [6]. Similar challenges exist with respect to FOWT, and further comprehensive studies based on specific FOWT properties are required [2].…”

Section: Introductionmentioning

confidence: 99%

Dynamic Response of an Offshore Floating Wind Turbine at Accidental Limit States—Mooring Failure Event

et al. 2022

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This paper investigates the dynamic response of a fully nonlinear model of a DeepCWind floating offshore wind turbine (FOWT) after one of its three-catenary mooring systems is broken. The drift area of the platform, pitch motion of the wind turbine, and tension on the two ends of the mooring line are the main dynamic response foci; in addition, a single mathematical formula is provided in this study to predict the maximum drift in surge direction. After the platform reaches the new equilibrium position maintained by the remaining two mooring lines, the tower pitch exceeds 20 degrees. The tension change is closely related to the drift motion, necessitating an increase in the minimum breaking load (MBL) of the mooring line components. The mathematical forecast of the maximum surge shows good agreement with the numerical results, even with different water depths

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Learning from failures: Accidents of marine structures on Norwegian continental shelf over 40 years time period

Cited by 24 publications

References 7 publications

A state of the art of the accident causation models in the process industries

A state of the art of the accident causation models in the process industries

An Artificial Bee Colony optimization-based approach for sizing and composition of Arctic offshore drilling support fleets considering cost-efficiency

Dynamic Response of an Offshore Floating Wind Turbine at Accidental Limit States—Mooring Failure Event

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