Autonomous Spilled Oil and Gas Tracking Buoy System and Application to Marine Disaster Prevention System: Part 1

Kato, Nobuo; Senga, Hidetaka; Suzuki, Hiroki; Okano, Yasunori; Ban, Takahiko; Takagi, Yaemi; Yoshie, Muneo; Tanaka, Toshinari; Sakagami, Norimitsu

doi:10.2118/159254-ms

Cited by 11 publications

(5 citation statements)

References 20 publications

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“…Kato et al [109,110] describe a project () regarding detection of gas and oil spills in the period of 2011 to 2015 involving a SOTAB-I UUV, an underwater buoy robot, and SOTAB-II USVs, floating buoy robots. In this project, they perform autonomous tracking and monitoring of spilled plumes of oil and gas using the SOTAB-I connected to multiple SOTAB-II USVs.…”

Section: Use Of Usvs In Environmental Disasters With Contaminantsmentioning

confidence: 99%

A Survey on Unmanned Surface Vehicles for Disaster Robotics: Main Challenges and Directions

Jorge

Granada

Maidana

et al. 2019

Sensors

126

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Disaster robotics has become a research area in its own right, with several reported cases of successful robot deployment in actual disaster scenarios. Most of these disaster deployments use aerial, ground, or underwater robotic platforms. However, the research involving autonomous boats or Unmanned Surface Vehicles (USVs) for Disaster Management (DM) is currently spread across several publications, with varying degrees of depth, and focusing on more than one unmanned vehicle—usually under the umbrella of Unmanned Marine Vessels (UMV). Therefore, the current importance of USVs for the DM process in its different phases is not clear. This paper presents the first comprehensive survey about the applications and roles of USVs for DM, as far as we know. This work demonstrates that there are few current deployments in disaster scenarios, with most of the research in the area focusing on the technological aspects of USV hardware and software, such as Guidance Navigation and Control, and not focusing on their actual importance for DM. Finally, to guide future research, this paper also summarizes our own contributions, the lessons learned, guidelines, and research gaps.

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Section: Use Of Usvs In Environmental Disasters With Contaminantsmentioning

confidence: 99%

A Survey on Unmanned Surface Vehicles for Disaster Robotics: Main Challenges and Directions

Jorge

Granada

Maidana

et al. 2019

Sensors

126

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“…Nedwed et al (2012) recommends the stockpiling of equipment and mechanical responders for near shore intervention due to their effectiveness. Kato et al (2011) andNOAA (2013) warns of the difficulties associated with beaching oil and therefore the interception of floating oil before beaches are oiled.…”

Section: Minimum Regret Analysesmentioning

confidence: 99%

“…The availability of a simulator or model provides an inference on the oil travel time and hence intervention times for mitigation as well as time frame for any persisting oil to degrade under environmental conditions (HMRAD 1992, Tkalich et al 2003, Badejo and Nwilo 2004, Kato et al 2011, NOAA 2013. Currently no publication or research to date has explored the hydrodynamics of the Saltpond oilfield to provide (a) an understanding of oil behaviour at varying environmental conditions in the Saltpond offshore area; and (b) an identification of likely areas to be impacted upon a spill incidence, so as to guide response actions.…”

Section: Introductionmentioning

confidence: 99%

Oil spill trajectory simulation for the Saltpond oilfield, Ghana, West Africa

Korsah

Anifowose

2014

Day 1 Mon, November 10, 2014

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The exploration and production of petroleum resources is not without environmental consequences and these remain an important factor in contemporary global oil industry. As an emerging oil producing nation, very little or nothing is known about the behaviour of Ghana's sweet light crude in water under varying environmental conditions. This is crucial for an efficient management of accidental spills. Therefore, this study designed a deterministic model for oil spill trajectory simulation using the Saltpond oilfield (Ghana) as study location. The main objectives were to: (a) design a diagnostic GNOME model to configure and generate localised oil spill scenarios; (b) model different oil spill scenarios and weathering profiles for varying environmental conditions e.g. wet/dry seasons, different currents and wind conditions; and (c) Predict the 'minimum regret' Splots as a precautionary principle. A combined Eulerian-Lagrangian approach involving a hydrodynamic model containing localised environmental parameters from the Saltpond oilfield was utilised. The General NOAA Operating Modelling Environment (GNOME) based on a Cϩϩ programming language was used to execute the analyses. In addition, the ADIOS2 oil weathering tool was used to estimate the oil budget for different spill quantities based on the physical and chemical properties of Ghana's sweet light crude at Saltpond field. The key findings are: 5000 and 10,000 barrels of spilled oil beached after a minimum of 12 hours in 97% of the scenarios under the influence of winds from the South. Wind speeds leading to beaching were 35.7% for 14 and 16 knots, 14.3% for 17 knots and 7.1% for 15 and 20 knots respectively. Weathering results showed a maximum of 43% of spilled oil evaporated after 116 hours with a minimum and maximum dispersal of 1% and 7% respectively. This study, for the first time, has provided hitherto unavailable analysis and information on oil spill transport forecasting and trajectory simulation for the Saltpond Oilfield in Ghana which environmental managers/engineers would find readily useful in responding to future oil spill disasters. The approach and methodology used in this study could also be adapted for other offshore regions in Ghana and West Africa.

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“…Marine oil spills include surface oil spills and underwater oil spills. Monitoring technology for surface oil spills is relatively mature, with breakthroughs in optical sensor monitoring, synthetic aperture radar (SAR) image monitoring, and ocean buoy remote sensing [10][11][12]. Currently, the emergency response measures for oil spills are relatively mature, but oil spill incidents still exist due to insufficient oil spill monitoring work [8,9].…”

Section: Introductionmentioning

confidence: 99%

“…Marine oil spills include surface oil spills and underwater oil spills. Monitoring technology for surface oil spills is relatively mature, with breakthroughs in optical sensor monitoring, synthetic aperture radar (SAR) image monitoring, and ocean buoy remote sensing [10][11][12]. Compared to surface oil spills, underwater oil spills are more complex, with characteristics such as large leak volume, long duration, and uncontrollability.…”

Section: Introductionmentioning

confidence: 99%

Underwater Acoustic Technology-Based Monitoring of Oil Spill: A Review

Pan

Tang

Jiang

et al. 2023

JMSE

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Acoustic monitoring is an efficient technique for oil spill detection, and the development of acoustic technology is conducive to achieving real-time monitoring of underwater oil spills, providing data references and guidance for emergency response work. Starting from the research background of oil spills, this review summarizes and evaluates the existing research on acoustic technology for monitoring underwater oil spills. Underwater oil spills are more complex than surface oil spills, and further research is needed to investigate the feasibility of acoustic technology in underwater oil spill monitoring, verify the accuracy of monitoring data, and assess its value. In the future, the impact mechanism and dynamic research of acoustic technology in oil spill monitoring should be explored, and the advantages and differences between acoustic technology and other detection techniques should be compared. The significance of auxiliary mechanisms combined with acoustic technology in oil spill monitoring should be studied. Moreover, acoustic research methods and experimental techniques should be enriched and improved to fully tap into the future value of acoustic technology.

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Autonomous Spilled Oil and Gas Tracking Buoy System and Application to Marine Disaster Prevention System: Part 1

Cited by 11 publications

References 20 publications

A Survey on Unmanned Surface Vehicles for Disaster Robotics: Main Challenges and Directions

A Survey on Unmanned Surface Vehicles for Disaster Robotics: Main Challenges and Directions

Oil spill trajectory simulation for the Saltpond oilfield, Ghana, West Africa

Underwater Acoustic Technology-Based Monitoring of Oil Spill: A Review

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