Simulated Training System for Undersea Oil Spill Emergency Response

Yu, Yang; Mao, Dongfeng; Yin, Hang; Xin-hu, Zhang; Sun, Chi‐Lu; Chu, Gui

doi:10.1016/j.aqpro.2015.02.208

Cited by 5 publications

(1 citation statement)

References 4 publications

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“…Virtual training environments, such as "VR-Safety", which has been developed for Hydro and Statoil (now Equinor) by Christian Michelsen Research, can be used to train the operators and managers on gas leak hazards response, simulate wind effects on gas leaks, demonstrate effectiveness of process safety systems, increase awareness of safety barrier philosophy and risk levels, and to convey emergency preparedness steps [90]. Additionally, underwater oil spill emergency response training has also been conducted using extended reality technologies [91].…”

Section: B Extended Reality Technologies For Advanced Visualization and Collaborationsmentioning

confidence: 99%

Human Centric Digital Transformation and Operator 4.0 for the Oil and Gas Industry

et al. 2021

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Working at an oil and gas facility, such as a drilling rig, production facility, processing facility, or storage facility, involves various challenges, including health and safety risks. It is possible to leverage emerging digital technologies such as smart sensors, wearable or mobile devices, big data analytics, cloud computing, extended reality technologies, robotic systems, and drones to mitigate the challenges faced by oil and gas workers. While these technologies are not new to the oil and gas industry, most of its existing digital transformation initiatives follow business or process-centric approaches, in which the critical driver of the technology adoption is the enhancement of production, efficiency, and revenue. As a result, they may not address the challenges faced by the workers. As oil and gas workers are among the essential assets in the oil and gas industry, it is vital to address the challenges faced by these workers. This paper proposes a human-centric digital transformational framework for the oil and gas industry to deploy existing digital technologies to enhance their workers' health, safety, and working conditions. The paper outlines the critical challenges faced by oilfield workers, introduces a system architecture to implements a human-centric digital transformation, discusses the opportunities of the proposed framework, and summarizes the key impediment for the proposed framework.

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Section: B Extended Reality Technologies For Advanced Visualization and Collaborationsmentioning

confidence: 99%

Human Centric Digital Transformation and Operator 4.0 for the Oil and Gas Industry

et al. 2021

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Decision Support Multi-agent Modeling and Simulation of Aeronautic Marine Oil Spill Response

Liu

Tian

et al. 2023

Smart Innovation, Systems and Technologies

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Due to the lack of real multi-agent data and timeconsuming of labeling, existing multi-agent cooperative perception algorithms usually select the simulated sensor data for training and validating. However, the perception performance is degraded when these simulation-trained models are deployed to the real world, due to the significant domain gap between the simulated and real data. In this paper, we propose the first Simulation-to-Reality transfer learning framework for multiagent cooperative perception using a novel Vision Transformer, named as S2R-ViT, which considers both the Implementation Gap and Feature Gap between simulated and real data. We investigate the effects of these two types of domain gaps and propose a novel uncertainty-aware vision transformer to effectively relief the Implementation Gap and an agentbased feature adaptation module with inter-agent and egoagent discriminators to reduce the Feature Gap. Our intensive experiments on the public multi-agent cooperative perception datasets OPV2V and V2V4Real demonstrate that the proposed S2R-ViT can effectively bridge the gap from simulation to reality and outperform other methods significantly for point cloud-based 3D object detection.

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A virtual reality simulation for coordination and interaction based on dynamics calculation

Duan

Sun

et al. 2017

Ships and Offshore Structures

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Simulated Training System for Undersea Oil Spill Emergency Response

Cited by 5 publications

References 4 publications

Human Centric Digital Transformation and Operator 4.0 for the Oil and Gas Industry

Human Centric Digital Transformation and Operator 4.0 for the Oil and Gas Industry

Decision Support Multi-agent Modeling and Simulation of Aeronautic Marine Oil Spill Response

A virtual reality simulation for coordination and interaction based on dynamics calculation

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