Risk propagation mechanism: Qingdao Crude Oil Leaking and Explosion case study

Liu, Hong Yong; He, Weitao; Ji, Guo; Huang, Qiushuang

doi:10.1016/j.engfailanal.2014.10.003

Cited by 19 publications

(5 citation statements)

References 8 publications

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“…A specific rate calculation method can be referenced. (5) Territorial management is implemented between emergency bases. Loading between cleaning vessels is prohibited.…”

Section: Model Assumptionsmentioning

confidence: 99%

“…On 11 June 2011, an oil spill in Bohai Bay resulted in coastal water pollution of approximately 840 km 2 [4]. On 23 November 2013, oil leakage and explosion occurred in an offshore oil pipeline in Qingdao, which resulted in residual oil entering the sea, and a large area of water around Jiaozhou Bay suffered serious oil pollution [5]. On 6 January 2018, Sanji and Changfeng Crystal collided about 296 km east of the Yangtze River estuary in Shanghai, which formed an oil slick of 10 km 2 [6].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Scheduling Optimization of Offshore Oil Spill Cleaning Materials Considering Multiple Accident Sites and Multiple Oil Types

et al. 2022

Sustainability

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Coastal governments have been preventing and controlling pollution in the marine environment by enhancing the construction of hardware and software facilities. The dispatch of offshore oil spill cleaning materials must be upgraded and optimized to cope with repeated offshore oil leak incidents while simultaneously improving cleaning efficiency and the ability to resist oil spill hazards. Accordingly, we set up a multiobjective optimization model with time window constraints to solve the scheduling optimization problem of offshore oil spill accidents with multiple locations and oil types. This model integrates the minimal sum of fixed costs, fuel consumption costs, maximum load violation costs, and time window penalty costs to solve the scheduling optimization problem of an offshore oil spill accident. An improved genetic algorithm is designed to solve the proposed mathematical model effectively and to make a scientific decontaminated decision-scheduling scheme. The practicality of the model and algorithm is validated by using a specific instance, demonstrating that the suggested method can effectively solve the schedule optimization problem for cleaning materials.

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“…A specific rate calculation method can be referenced. (5) Territorial management is implemented between emergency bases. Loading between cleaning vessels is prohibited.…”

Section: Model Assumptionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Scheduling Optimization of Offshore Oil Spill Cleaning Materials Considering Multiple Accident Sites and Multiple Oil Types

et al. 2022

Sustainability

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“…The accident caused 62 fatalities, 132 injuries and a direct economic loss of 751.72 million RMB, including 2000 tons crude oil (Accident Investigation Team 2014). Liu et al described the propagation mechanism of the accident (Liu, He et al 2015). The accident evolution is illustrated in Fig 4. The direct cause of the leakage is the combination of transmission pipeline and drainage system corro-sion and rupture.…”

Section: Case Descriptionmentioning

confidence: 99%

An integrated framework for business continuity management of critical infrastructures

Xing¹,

Zio²

2016

Risk, Reliability and Safety: Innovating Theory and Practice

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Business continuity of critical infrastructures (CIs) is exposed to various hazards including random failures, malicious threats, natural disasters and human errors, which could generate accidents with serious consequences (fatality, injury, environmental damage, business interruption and company reputation loss). We conceptualize the business continuity management (BCM) process as the integration of four active stages: prevention, mitigation, emergency and recovery. Integrated assessment and management is needed on all stages. On the contrary, the current approaches of BCM have not considered all phases in an integrated manner. We propose a new framework, which stands on an extension of the Bow-Tie model, to efficiently and effectively prevent and mitigate the potential consequences of an accident by properly designing and strengthening safety barriers for preventing and mitigating accidents, and making safety decisions for emergency and recovery. The proposed framework allows considering safety barriers and decisions in an integrated way. For operationalization, we explore the use of two complementary quantitative methods, Bayesian Network (BN) and Constraint Goal Method (CGM). BN takes the “negative” viewpoint of failure to determine the causes which lead to the final damage. CGM employs the positive perspective of the goal achievement process. An oil pipeline system is considered to show the application of the proposed approaches

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“…Yet, research on risks concerning secondary accidents possibly being triggered during the maintenance process for damaged or leaking pipelines should also be of concern, since a catastrophic explosion, being that type of accident, happened in Qingdao. The accident was triggered by mechanical sparks generated during the emergency maintenance procedure [8][9][10] .…”

Section: Introductionmentioning

confidence: 99%

Risk assessment of the maintenance process for onshore oil and gas transmission pipelines under uncertainty

Liang

Zhang

et al. 2018

Reliability Engineering & System Safety

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Risk propagation mechanism: Qingdao Crude Oil Leaking and Explosion case study

Cited by 19 publications

References 8 publications

Scheduling Optimization of Offshore Oil Spill Cleaning Materials Considering Multiple Accident Sites and Multiple Oil Types

Scheduling Optimization of Offshore Oil Spill Cleaning Materials Considering Multiple Accident Sites and Multiple Oil Types

An integrated framework for business continuity management of critical infrastructures

Risk assessment of the maintenance process for onshore oil and gas transmission pipelines under uncertainty

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