...
首页> 外文期刊>Journal of loss prevention in the process industries >Dynamic risk analysis of offloading process in floating liquefied natural gas (FLNG) platform using Bayesian Network
【24h】

Dynamic risk analysis of offloading process in floating liquefied natural gas (FLNG) platform using Bayesian Network

机译:使用贝叶斯网络的浮动液化天然气(FLNG)平台卸载过程的动态风险分析

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

The growing demand for natural gas has pushed oil and gas exploration to more isolated and previously untapped regions around the world where construction of LNG processing plants is not always a viable option. The development of FLNG will allow floating plants to be positioned in remote offshore areas and subsequently produce, liquefy, store and offload LNG in the one position. The offloading process from an FLNG platform to a gas tanker can be a high risk operation. It consists of LNG being transferred, in hostile environments, through loading arms or flexible cryogenic hoses into a carrier which then transports the LNG to onshore facilities. During the carrier's offloading process at onshore terminals, it again involves risk that may result in an accident such as collision, leakage and/or grounding. It is therefore critical to assess and monitor all risks associated with the offloading operation. This study is aimed at developing a novel methodology using Bayesian Network (BN) to conduct the dynamic safety analysis for the offloading process of an LNG carrier. It investigates different risk factors associated with LNG offloading procedures in order to predict the probability of undesirable accidents. Dynamic failure assessment using Bayesian theory can estimate the likelihood of the occurrence of an event. It can also estimate the failure probability of the safety system and thereby develop a dynamic failure assessment tool for the offloading process at a particular FLNG plant. The main objectives of this paper are: to understand the LNG offloading process, to identify hazardous events during offloading operation, and to perform failure analysis (modelling) of critical accidents and/or events. Most importantly, it is to evaluate and compare risks. A sensitivity analysis has been performed to validate the risk models and to study the behaviour of the most influential factors. The results have indicated that collision is the most probable accident to occur during the offloading process of an LNG carrier at berth, which may have catastrophic consequences. (C) 2016 Elsevier Ltd. All rights reserved.
机译:对天然气的需求不断增长,已将石油和天然气勘探推向了世界上更偏僻且以前尚未开发的地区,在这些地区建造LNG加工厂并非总是可行的选择。 FLNG的发展将使浮动工厂可以定位在偏远的海上区域,随后可以在一个位置生产,液化,储存和卸载LNG。从FLNG平台到加油车的卸载过程可能是高风险的操作。它由在恶劣环境中通过装载臂或柔性低温软管转移到运载工具中的液化天然气组成,然后将液化天然气运输到陆上设施。在承运人在陆上码头进行卸载的过程中,它再次涉及可能导致事故的风险,例如碰撞,泄漏和/或接地。因此,至关重要的是评估和监视与卸载操作相关的所有风险。这项研究旨在开发一种新颖的方法,使用贝叶斯网络(BN)对LNG船的卸载过程进行动态安全分析。它调查了与LNG卸载程序相关的不同风险因素,以预测不良事故的可能性。使用贝叶斯理论进行的动态故障评估可以估计事件发生的可能性。它还可以估计安全系统的故障概率,从而为特定FLNG工厂的卸载过程开发动态故障评估工具。本文的主要目的是:了解液化天然气的卸载过程,识别卸载过程中的危险事件,并对严重事故和/或事件进行故障分析(建模)。最重要的是,它是评估和比较风险。已经进行了敏感性分析,以验证风险模型并研究最有影响力的因素的行为。结果表明,碰撞是最有可能发生的事故,发生在LNG船泊位卸载过程中,这可能会带来灾难性后果。 (C)2016 Elsevier Ltd.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号