A system engineering approach to subsea spill risk management

Bucelli, Marta; Utne, Ingrid Bouwer; Rossi, Pierluigi Salvo; Paltrinieri, Nicola

doi:10.1016/j.ssci.2019.104560

Cited by 10 publications

(4 citation statements)

References 25 publications

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“…And different animals due to contamination of seawater, groundwater, surface water, desert and soil. Rendering to the examination method investigation, there has been a broad focus on the risk assessment of significant accidents in pipelines, while slighteffort has been done to quantify in addition minimize the natural penalties of significant accidents [11]. Natural hazard quantitative and assessment ecological implications must be combined into pipeline well-being.…”

Section: Systematic Analysismentioning

confidence: 99%

A Review in Enhancing Hydrological Safety by Implementing Risk Management Strategies

Shanmugam¹,

Kanagasabai²,

Devanathan³

2022

HYD

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This manuscript analyses the risk management in the oil and gas industries. The manuscript discusses risk management in the consideration of large uncertainties in addition the utilization of adaptive risk management in various conditions. This type of management depends on the certainty that a better choice cannot be made, on the contrary, a few choices must be powerfully followed in order to obtain data and information on the implications of different strategies. Henceforth, the safety in addition risk of management in gas and oil efforts is a basic need. The risk management strategies should be analyzed to avoid the risks happen in the oil and gas industries. Mostly, risks are happened in the oil and gas industries with the human error, natural accidents. In the manuscript, we focus on a case from the oil and gas sector, the primary thing is to gain experience on how the management can carry out risk management while focusing on major hazard information and vulnerability areas. Of late, a few authors have competed to obtain some new types of risk perspectives, including information on how vulnerabilities and dangers are perceived, and the assessment that this article uses these perspectives as a reason for conversation.

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Section: Systematic Analysismentioning

confidence: 99%

A Review in Enhancing Hydrological Safety by Implementing Risk Management Strategies

Shanmugam¹,

Kanagasabai²,

Devanathan³

2022

HYD

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“…Results that accurately and proactively reflect critical conditions should not only be indicated by these risk indexes but also support user decision-making. The RB is explicitly designed to easily adapt to the user's needs [32,80] based on the feedback collected within the involved company.…”

Section: Peer Reviewmentioning

confidence: 99%

Validation of Dynamic Risk Analysis Supporting Integrated Operations Across Systems

et al. 2019

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Dynamic risk analysis (DRA) is a novel industrial approach that aims to capture changes in operational conditions over time and quantify their effect on risk. This aspect may be advantageous for providing insight into the causal factors that have substantial risk contributions and supporting decisions related to risk control. Some DRA methods were developed by the oil and gas industry to support the integration of work processes and the cooperation across virtual clusters, e.g., between offshore and onshore systems and/or oil company and supplier. However, DRA has not been extensively adopted and limited attention is given to its validity in practical applications. The objective of this article is to illustrate how this validity can be established based on common validation approaches for risk analysis. The case study focuses on a DRA method named risk barometer that was developed to support integrated operations across the oil and gas industrial systems. The outcome of this study may serve as a basis for the validation of other DRA methods, the use of DRA in practical cases, and ultimately the achievement of integrated operations (IO) capabilities.

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“…In addition to the possibility of fire and explosion accidents, the releasing gas plume is likely to disorder the maneuverability and stability of nearby vessels due to strong surface currents [5,6]. Furthermore, the release of oil and gas serves to produce a kind of hydrocarbon mixture gas, primarily methane, which aggravates the marine environment and ecosystem [7,8]. On the other hand, a large amount of CO 2 gas has been injected and stored in the appropriate geological reservoirs of the subsea.…”

Section: Introductionmentioning

confidence: 99%

Advanced Computer Vision-Based Subsea Gas Leaks Monitoring: A Comparison of Two Approaches

Zhu

Xie

et al. 2023

Sensors

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Recent years have witnessed the increasing risk of subsea gas leaks with the development of offshore gas exploration, which poses a potential threat to human life, corporate assets, and the environment. The optical imaging-based monitoring approach has become widespread in the field of monitoring underwater gas leakage, but the shortcomings of huge labor costs and severe false alarms exist due to related operators’ operation and judgment. This study aimed to develop an advanced computer vision-based monitoring approach to achieve automatic and real-time monitoring of underwater gas leaks. A comparison analysis between the Faster Region Convolutional Neural Network (Faster R-CNN) and You Only Look Once version 4 (YOLOv4) was conducted. The results demonstrated that the Faster R-CNN model, developed with an image size of 1280 × 720 and no noise, was optimal for the automatic and real-time monitoring of underwater gas leakage. This optimal model could accurately classify small and large-shape leakage gas plumes from real-world datasets, and locate the area of these underwater gas plumes.

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A system engineering approach to subsea spill risk management

Cited by 10 publications

References 25 publications

A Review in Enhancing Hydrological Safety by Implementing Risk Management Strategies

A Review in Enhancing Hydrological Safety by Implementing Risk Management Strategies

Validation of Dynamic Risk Analysis Supporting Integrated Operations Across Systems

Advanced Computer Vision-Based Subsea Gas Leaks Monitoring: A Comparison of Two Approaches

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