Development of operational risk management framework for marine operations in harsh environments

制定恶劣环境下海上作业的操作风险管理框架

基本信息

  • 批准号:
    486678-2015
  • 负责人:
  • 金额:
    $ 1.82万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Engage Grants Program
  • 财政年份:
    2015
  • 资助国家:
    加拿大
  • 起止时间:
    2015-01-01 至 2016-12-31
  • 项目状态:
    已结题

项目摘要

Research effort devoted to the development of a holistic risk assessment and management methodology for vessel operations in harsh environment is limited. This proposal intends to initiate a new research engagement with Lloyd's Register Applied Technology Group (ATG) to develop a new risk-based methodology to support operational considerations during marine navigation or transportation in Arctic environments. Three possible ship accident scenarios in Arctic transits will be investigated: i) collision, ii) grounding, and iii) foundering. Various factors related to harsh conditions and their effects on the abovementioned accident scenarios will be considered as a part of the proposed study. The Bayesian Network (BN) approach will be used to quantify the probability of a ship accident and the related consequences during navigation in Arctic waters. Consequence assessment will be conducted based on various loss scenarios including release of toxic chemicals and/or flammable gas, fire and explosion. This innovative methodology will integrate failure-updating mechanism with consequence assessment as a ship operates and new information become available; thus the method will estimate real-time risk. The assessed risk will be integrated into a decision-making framework to support the development and implementation of safety strategies. This project will benefit the industry partner, ATG, by developing an operational risk management methodology to better monitor and control the risk of marine operations in harsh environments. ATG can further develop the outcomes of the project to make it part of its software to enhance capabilities in dynamic risk monitoring and management of vessel operational risk. New understanding and knowledge developed specifically on operational risk assessment of marine operations in Arctic waters would provide greater confidence to Canadian industry, regulator and public in safe navigation in the Northern region.
致力于制定全面的风险评估和管理方法的研究工作 船舶在恶劣环境中作业是有限的。这项提议打算启动一项新的研究活动 与劳合社注册应用技术集团(ATG)共同开发基于风险的新方法,以支持 在北极环境中进行海上航行或运输时的操作注意事项。三种可能 将调查北极过境中的船舶事故情景:i)碰撞,ii)搁浅,iii)沉没。 与恶劣条件有关的各种因素及其对上述事故情景的影响将是 被视为拟议研究的一部分。将使用贝叶斯网络(BN)方法来量化 在北极水域航行期间发生船舶事故的可能性及其相关后果。后果 将根据各种损失情况进行评估,包括释放有毒化学品和/或 易燃气体、火灾和爆炸。这种创新的方法将整合故障更新机制 在船舶运行时进行后果评估,并获得新的信息;因此,该方法将 估计实时风险。评估的风险将被纳入决策框架,以支持 制定和实施安全战略。 该项目将通过开发操作风险管理使行业合作伙伴ATG受益 在恶劣环境中更好地监测和控制海洋作业风险的方法。ATG可以 进一步开发项目成果,使其成为其软件的一部分,以增强动态能力 船舶操作风险监测与管理。发展了新的理解和知识 具体而言,北极水域海洋作业的作业风险评估将提供更大的 加拿大工业、监管机构和公众对北部地区安全航行的信心。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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Ahmed, Salim其他文献

Utility of a novel watch-based pulse detection system to detect pulselessness in human subjects
  • DOI:
    10.1016/j.hrthm.2011.07.030
  • 发表时间:
    2011-12-01
  • 期刊:
  • 影响因子:
    5.5
  • 作者:
    Rickard, John;Ahmed, Salim;Menon, Venu
  • 通讯作者:
    Menon, Venu
An ontology-based methodology for hazard identification and causation analysis
IDENTIFICATION FROM STEP RESPONSE - THE INTEGRAL EQUATION APPROACH
A methodical approach for knowledge-based fire and explosion accident likelihood analysis
Robust Process Monitoring Methodology for Detection and Diagnosis of Unobservable Faults

Ahmed, Salim的其他文献

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{{ truncateString('Ahmed, Salim', 18)}}的其他基金

Probabilistic predictive warning system for process operations
过程操作的概率预测预警系统
  • 批准号:
    RGPIN-2019-04122
  • 财政年份:
    2022
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Probabilistic predictive warning system for process operations
过程操作的概率预测预警系统
  • 批准号:
    RGPIN-2019-04122
  • 财政年份:
    2021
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Probabilistic predictive warning system for process operations
过程操作的概率预测预警系统
  • 批准号:
    RGPIN-2019-04122
  • 财政年份:
    2020
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Probabilistic predictive warning system for process operations
过程操作的概率预测预警系统
  • 批准号:
    RGPIN-2019-04122
  • 财政年份:
    2019
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Framework and models for an event-based early warning system design
基于事件的预警系统设计的框架和模型
  • 批准号:
    RGPIN-2014-05812
  • 财政年份:
    2018
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Framework and models for an event-based early warning system design
基于事件的预警系统设计的框架和模型
  • 批准号:
    RGPIN-2014-05812
  • 财政年份:
    2017
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Framework and models for an event-based early warning system design
基于事件的预警系统设计的框架和模型
  • 批准号:
    RGPIN-2014-05812
  • 财政年份:
    2016
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Framework and models for an event-based early warning system design
基于事件的预警系统设计的框架和模型
  • 批准号:
    RGPIN-2014-05812
  • 财政年份:
    2015
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Framework and models for an event-based early warning system design
基于事件的预警系统设计的框架和模型
  • 批准号:
    RGPIN-2014-05812
  • 财政年份:
    2014
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual

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