Prevention of oil spill from shipping by modelling of dynamic risk

Eide, Magnus S.; Endresen, Øyvind; Breivik, Øyvind; Brude, Odd Willy; Ellingsen, Ingrid; Røang, Kjell; Hauge, Jarle; Brett, Per Olaf

doi:10.1016/j.marpolbul.2007.06.013

Cited by 59 publications

(50 citation statements)

References 8 publications

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“…Especially, Dalian harbor in the zone 1 has been established to be a deep-water port in 2013, which indicates its ship related spill risk will be increased significantly. It is important to note that the absolute value of the spill risk estimated was not a major concern, as the aim of the model was to compare the relative difference between coastal areas (Eide et al, 2007).…”

Section: Resultsmentioning

confidence: 99%

Assessing oil spill risk in the Chinese Bohai Sea: A case study for both ship and platform related oil spills

Liu

Meng

Xing

et al. 2015

Ocean & Coastal Management

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Article history: Available online xxx a b s t r a c t Many oil spill accidents have occurred in the Chinese Bohai Sea recently because of extensive offshore oil exploitation and maritime transportation. In this study we made an attempt towards the development of a probabilistic model assessing the oil spill risks for the Bohai Sea. We utilized satellite images together with historic accident data from 1973 to 2002 and information from literature to establish probability of oil spills, which was then adjusted for the consequence of spill impacts. The assessment represented a distribution of oil spill risk in the study area. Totally, seven high risk zones have been identified, providing useful information on the optimal locations for oil spill recovery and cleanup equipment to improve spill-response readiness in the region. We anticipated that the results would contribute to the mitigation of the harmful effects of future oil spills in the Bohai Sea, if the presented model was used with care.

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Section: Resultsmentioning

confidence: 99%

Assessing oil spill risk in the Chinese Bohai Sea: A case study for both ship and platform related oil spills

Liu

Meng

Xing

et al. 2015

Ocean & Coastal Management

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“…A dynamical risk model with the aim of reducing the risk of coastal oil spills from ships has been developed in prev ious research projects (Eide et al, 2007a;Eide et al, 2007b). The model is intended to be used at a shore-based VTS centre (Vessel Traffic Service) for assessment of risk levels of individual oil tankers sailing along a specific coastal stretch.…”

Section: Dynamical Navigational Risk Managementmentioning

confidence: 99%

“…The model is extended to include dynamic information about the ship's immediate surroundings and operating environment in order to provide real-time risk assessment and also short-term risk forecasts (Eide et al, 2007b …”

Section: Dynamical Navigational Risk Managementmentioning

confidence: 99%

e-MARITIME SERVICES FOR COMMUNICATION WITH CLASS AND FOR ENHANCED SAFETY, SECURITY AND ENVIRONMENTAL PROTECTION IN SHIPPING

Vanem¹

2014

IJTTE

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e-Maritime can be considered as an extension of the e-Navigation concept currently being discussed at the International Maritime Organization (IMO). It can be construed to include e-Navigation and promotes the use of all maritime data and information, distributed by way of information and communication technologies, to facilitate maritime transportation and provide value added services. This paper investigates possible e-Maritime services related to safety, security and environmental protection of shipping and for interaction with class. The paper reviews a number of existing services and current initiatives and relevant research projects and discusses if and how the value of such services could be increased if they could be offered as e-Maritime services to the industry. Furthermore, two services have been selected and successfully implemented as pilot e-Maritime services. Based on this survey and the pilot implementations, it can be suggested that there are great potential for offering a number of existing and future services related to safety, security and environmental protection as e-Maritime services. However, standardisation of the framework and of specific maritime data types, messages and codes might be necessary to facilitate a development towards widespread adaptation of e-Maritime solutions.

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“…In both cases, a positive speed denotes a northbound movement and a negative speed a southbound movement. A drift time of only 10 hours is considered fast drift, while slow drift means most tankers will not run ashore before having drifted for 20 to 30 hours (Eide et al 2007). For this reason, Bye (2012) used a conservative estimate in the interval   8,12 (hours).…”

Section: 30 mentioning

confidence: 99%

“…The aim of the patrolling tug vessels is to move along the coastline in a collectively intelligent manner such that potential drift trajectories can be intercepted. The closest tug vessel will then intercept the drifting oil tanker before it runs aground (Eide et al 2007). …”

Section: Introductionmentioning

confidence: 99%

A Sustainable Model For Optimal Dynamic Allocation Of Patrol Tugs To Oil Tankers

Assimizele¹,

Oppen²,

Bye³

2013

ECMS 2013 Proceedings Edited By: Webjorn Rekdalsbakken, Robin T. Bye, Houxiang Zhang

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Oil tanker traffic constitutes a vital part of the maritime operations in the High North and is associated with considerable risk to the environment. As a consequence, the Norwegian Coastal Administration (NCA) administers a number of vessel traffic services (VTS) centers along the Norwegian coast, one of which is located in the town of Vardø, in the extreme northeast part of Norway. The task of the operators at the VTS center in Vardø is to command a fleet of tug vessels patrolling the northern Norwegian coastline such that the risk of oil tanker drifting accidents is reduced. Currently, these operators do not use computer algorithms or mathematical models to solve this dynamic resource allocation problem but rely on their own knowledge and experience when faced with constantly changing weather and traffic conditions. We therefore propose a novel sustainable model called the receding horizon mixed integer programming (RHMIP) model for optimal dynamic allocation of patrol vessels to oil tankers. The model combines features from model predictive control and linear programming. Simulations run with real-world parameters highlight the performance and quality of our method. The developed RHMIP model can be implemented as an operational decision support tool to the NCA.

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Prevention of oil spill from shipping by modelling of dynamic risk

Cited by 59 publications

References 8 publications

Assessing oil spill risk in the Chinese Bohai Sea: A case study for both ship and platform related oil spills

Assessing oil spill risk in the Chinese Bohai Sea: A case study for both ship and platform related oil spills

e-MARITIME SERVICES FOR COMMUNICATION WITH CLASS AND FOR ENHANCED SAFETY, SECURITY AND ENVIRONMENTAL PROTECTION IN SHIPPING

A Sustainable Model For Optimal Dynamic Allocation Of Patrol Tugs To Oil Tankers

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