An autonomous underwater robot for tracking and monitoring of subsea plumes after oil spills and gas leaks from seafloor

Kato, Nobuo; Choyekh, Mahdi; Dewantara, Ryan; Senga, Hidetaka; Chiba, Hayato; Kobayashi, Eiichi; Yoshie, Muneo; Tanaka, Toshinari; Short, Timothy

doi:10.1016/j.jlp.2017.03.006

Cited by 20 publications

(8 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For monitoring purposes, the ROV should be small and maneuverable in order to enable the examination of any parts of the WEC. In O&G industry-specific AUVs and ROVs were developed for observation and, more specifically, for pipeline cracks and moorings [37,[43][44][45]. For a point-absorbing WEC the examination would require a basic observation-class ROV with a camera system.…”

Section: Rov-assisted Monitoringmentioning

confidence: 99%

Deployment and Maintenance of Wave Energy Converters at the Lysekil Research Site: A Comparative Study on the Use of Divers and Remotely-Operated Vehicles

Remouit

Chatzigiannakou

Bender

et al. 2018

JMSE

View full text Add to dashboard Cite

Ocean renewable technologies have been rapidly developing over the past years. However, current high installation, operation, maintenance, and decommissioning costs are hindering these offshore technologies to reach a commercialization stage. In this paper we focus on the use of divers and remotely-operated vehicles during the installation and monitoring phase of wave energy converters. Methods and results are based on the wave energy converter system developed by Uppsala University, and our experience in offshore deployments obtained during the past eleven years. The complexity of underwater operations, carried out by either divers or remotely-operated vehicles, is emphasized. Three methods for the deployment of wave energy converters are economically and technically analyzed and compared: one using divers alone, a fully-automated approach using remotely-operated vehicles, and an intermediate approach, involving both divers and underwater vehicles. The monitoring of wave energy converters by robots is also studied, both in terms of costs and technical challenges. The results show that choosing an autonomous deployment method is more advantageous than a diver-assisted method in terms of operational time, but that numerous factors prevent the wide application of robotized operations. Technical solutions are presented to enable the use of remotely-operated vehicles instead of divers in ocean renewable technology operations. Economically, it is more efficient to use divers than autonomous vehicles for the deployment of six or fewer wave energy converters. From seven devices, remotely-operated vehicles become advantageous.

show abstract

Section: Rov-assisted Monitoringmentioning

confidence: 99%

Deployment and Maintenance of Wave Energy Converters at the Lysekil Research Site: A Comparative Study on the Use of Divers and Remotely-Operated Vehicles

Remouit

Chatzigiannakou

Bender

et al. 2018

JMSE

View full text Add to dashboard Cite

show abstract

“…Underwater robots are widely used in exploration [1,2], rescue [3], sampling [4], monitoring [5,6], cruises [7] and transportation [8,9]. Compared with a single underwater robot, multi-robot systems are more effective for multi-task collaboration, such as large-scale search and surveillance [5]. Therefore, multi-robot systems have received great attention from researchers around the world [10].…”

Section: Introductionmentioning

confidence: 99%

Underwater robot coordination using a bio-inspired electrocommunication system

et al. 2022

View full text Add to dashboard Cite

Due to the challenging communication and control systems, few underwater multi-robot coordination systems are currently developed. In nature, weakly electric fish can organize their collective activities using electrocommunication in turbid water. Inspired by this communication mechanism, we developed an artificial electrocommunication system for underwater robots in our previous work. In this study, we coordinate a group of underwater robots using this bio-inspired electrocommunication. We first design a time division multiple access (TDMA) network protocol for electrocommunication to avoid communication conflicts during multi-robot coordination. Then, we revise a distributed controller to coordinate a group of underwater robots. The distributed controller on each robot generates the required controls based on adjacent states obtained through electrocommunication. A central pattern generator (CPG) controller is designed to adjust the speed of individuals according to distributed control law. Simulations and experimental results show that a group of underwater robots is able to achieve coordination with the developed electrocommunication and control systems.

show abstract

“…6 As per the International Association of Oil and Gas Producers, once gas or oil has been spilled into the marine environment, it's exposed to a variety of weathering conditions, including dispersion, evaporation, dissolution, wave flushing, emulsification, photochemical oxidation, microbial degradation, and adsorption of suspended matter and accumulate on the sea floor. 7 Several incidents that have previously happened due to sub-sea gas leakages have demonstrated the necessity for improving understanding of the behavior of hydrocarbon release risks and sub-sea emissions.…”

Section: Introductionmentioning

confidence: 99%

Modeling and assessment of accidental subsea gas leakage using a coupled computational fluid dynamics and machine learning approaches

Ellethy

Shehata

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part M:

View full text Add to dashboard Cite

All over the world, the oil and gas industries are the most important source of energy. The likelihood of subsea gas and oil leakage is increasing, which can cause threats and harmful impacts on the marine environment and potentially catastrophic events such as fires, explosives, and the loss of structural integrity of subsea infrastructure. Also, Physical models have usually been used to predict sea currents, but they are unstable to disturbances and hence incorrect over long periods of time. Machine learning approaches are more resistant than the physical models that have usually been used to predict sea currents. Also, Physical models have usually been used to predict sea currents. Nonetheless, they are not stable to disturbances and thus are not correct for long periods of time. Machine learning approaches are more resistant than the physical models that have usually been used to predict sea currents. Machine learning approaches are more resistant to change and perturbation. Therefore, the goal of this research is to assess the potential of hazards of the gas plume from subsea pipeline rupture till reaching the sea surface by changing the influence parameters on gas plume to assist petroleum companies in developing risk assessment strategies by assessing and simulating subsea gas release in order to contain the leakage by developing coupling models one for machine learning code which can predict the upcoming water current speed by using Multiple Linear Regression algorithm and hooked it by UDF to a second model which implements Computational Fluid Dynamics (CFD) model to study subsea gas release under current effects. Engebretsen’s Rotvoll experiment data is being used to validate the numerical computational fluid dynamics model. The rising time and fountain height and horizontal migration for gas release are the essential factors to be considered while evaluating the gas dispersion through our study by changing the influencing parameters such as leakage hole sizes, water current speeds, gas velocity, and water depths in the presence of water current in all cases. Also, applied our simulation to real case parameters for one of the Egyptian Petroleum Companies. These findings might aid in evaluating the hazards and response planning in the event of subsea gas leakage.

show abstract

An autonomous underwater robot for tracking and monitoring of subsea plumes after oil spills and gas leaks from seafloor

Cited by 20 publications

References 19 publications

Deployment and Maintenance of Wave Energy Converters at the Lysekil Research Site: A Comparative Study on the Use of Divers and Remotely-Operated Vehicles

Deployment and Maintenance of Wave Energy Converters at the Lysekil Research Site: A Comparative Study on the Use of Divers and Remotely-Operated Vehicles

Underwater robot coordination using a bio-inspired electrocommunication system

Modeling and assessment of accidental subsea gas leakage using a coupled computational fluid dynamics and machine learning approaches

Contact Info

Product

Resources

About