Conceptualization of Workers’ Safe Behavioral Profile for the Management of Accident Risk at Local Oil and Gas Construction Sites

Since the 1990s there has been an increasing interest in knowledge, knowledge management, and the knowledge economy due to recognition of its economic value. Processes of globalization and developments in information and communications technologies have triggered transformations in the ways in which knowledge is shared, produced, and used to the extent that the 21st century was forecasted to be the knowledge century. Organizational learning has also been accepted as critical for organizational performance. A key question that has emerged is how knowledge can be “captured” by organizations. This focus on knowledge and learning demands an engagement with what knowledge means, where it comes from, and how it is affected by and used in different contexts. An inclusive definition is to say that knowledge is acquired theoretical, practical, embodied, and intuitive understandings of a situation. Knowledge is also located socially, geographically, organizationally, and it is specialized; so it is important to examine knowledge in less abstract terms. The specific case engaged with in this article is knowledge in hazardous industry and its role in industrial disaster prevention. In hazardous industries such as oil and gas production, learning and expertise are identified as critical ingredients for disaster prevention. Conversely, a lack of expertise or failure to learn has been implicated in disaster causation. The knowledge needs for major accident risk management are unique. Trial-and-error learning is dangerously inefficient because disasters must be prevented before they occur. The temporal, geographical, and social scale of decisions in complex sociotechnical systems means that this cannot only be a question of an individual’s expertise, but major accident risk management requires that knowledge is shared across a much larger group of people. Put another way, in this context knowledge needs to be collective. Incident reporting systems are a common solution, and organizations and industries as a whole put substantial effort into gathering information about past small failures and their causes in an attempt to learn how to prevent more serious events. However, these systems often fall short of their stated goals. This is because knowledge is not collective by virtue of being collected and stored. Rather, collective knowing is done in the context of social groups and it relies on processes of sensemaking.

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Evaluating the Implementation of Resident UAV Unmanned Aerial Vehicles into Oil and Gas Industrial Facilities and Construction Sites

10.4043/30241-ms ◽

2020 ◽

Author(s):

Nicolas Tcherniguin ◽

Régis Mortier ◽

Jaime HuiChoo Tan

Keyword(s):

Unmanned Aerial Vehicles ◽

Oil And Gas ◽

Construction Sites ◽

Industrial Facilities ◽

Aerial Vehicles

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Ranking of Oil and Gas Wells Brought to Conservation and (or) Abandonment in Order to Solve the Problems of Accident Risk Analysis at Hazardous Production Facilities of the Oil and Gas Production Complex «Well Stock»

Occupational Safety in Industry ◽

10.24000/0409-2961-2019-4-78-81 ◽

2019 ◽

pp. 78-81

Author(s):

E.A. Rybalov ◽

Keyword(s):

Risk Analysis ◽

Oil And Gas ◽

Gas Production ◽

Accident Risk ◽

Gas Wells ◽

Oil And Gas Production ◽

Oil And Gas Wells ◽

Production Complex ◽

Hazardous Production ◽

Production Facilities

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Accident risk analysis of oil and gas facilities in Arctic climatic conditions

Industrial laboratory Diagnostics of materials ◽

10.26896/1028-6861-2019-85-2-48-54 ◽

2019 ◽

Vol 85 (2) ◽

pp. 48-54

Author(s):

N. A. Makhutov ◽

A. M. Bol’shakov ◽

M. I. Zakharova

Keyword(s):

Risk Assessment ◽

Oil And Gas ◽

Climatic Conditions ◽

Hazard Identification ◽

The Arctic ◽

Accident Risk ◽

Acceptable Risk ◽

Emergency Situations ◽

Hazardous Production ◽

Event Trees

The probability of occurring emergency situations increases in conditions of severe climate of the Arctic. Therefore, addressing the problems related to the risk assessment of accidents at oil and gas facilities in the Arctic zones based on acceptable risk criteria is of particular importance. Uncontrollable development of emergency situations is followed by emission of a significant amount of oil products and constitutes serious ecological danger, and also can lead to considerable destructions and death of people resulted from fire and explosion. Therefore, the goal of the study is development of the methods for analysis and assessment of the risk of accidents in reservoirs and gas pipelines at low temperatures to increase the industrial safety of hazardous production facilities operating in conditions of the Arctic North. The results of brittle fracture analysis and accident risk assessment for reservoir and gas pipeline under arctic climatic conditions are presented. Statistical data processing of accidents allowed us to determine the rupture sources, develop a “fault tree” of brittle fracture of reservoirs, “event trees” of reservoir explosion and gas outflow from a gas pipeline, with allowance for the frequency of scenarios for quantitative risk assessment. Currently the probabilistic approach is considered one of the most promising. Accident statistics and experience of previous risk analyses can provide a useful contribution to the process of hazard identification. We focus on the scenario approach to the problems of hazard identification and assess the probability (frequency) of emergencies proceeding from the analysis and systematization of the statistical data on the accidents on reservoirs and gas pipelines at low ambient temperatures using the “event trees” and “fault trees” which provide determination of the most critical scenario and expected risk from accidents. Thus, risk assessment of accidents at hazardous production facilities in the Arctic zone using criteria of acceptable risk will allow estimation of hazards with unacceptable level of risk and development of recommendations and measures to reduce them.

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Drones Move From "Nice To Have" to Strategic Resources for Projects

Journal of Petroleum Technology ◽

10.2118/1220-0029-jpt ◽

2020 ◽

Vol 72 (12) ◽

pp. 29-30

Author(s):

Judy Feder

Keyword(s):

Traffic Control ◽

Autonomous Vehicles ◽

Oil And Gas ◽

Work Processes ◽

Construction Sites ◽

Strategic Resources ◽

Digital Twins ◽

Hazardous Area ◽

Construction Supervision ◽

Safety Evacuation

While drones have been used on oil and gas facilities for video inspections and other tasks, they have been operated by an on-site pilot or one positioned on a bobbing workboat adjacent to an offshore platform. Now a proof-of-concept study conducted by TechnipFMC has tested the feasibility of a global drone system with drones operated remotely by pilots based anywhere in the world. The study is the subject of a paper (OTC 30241) presented at the Offshore Technology Conference Asia in Kuala Lumpur in November. Construction supervision and health, safety, and environmental (HSE) monitoring were the main drivers of the study. The construction supervision application is part of a larger digitalization ambition to monitor and manage construction activities with data generated from the drone ultimately feeding an internal software dedicated to this business process. Potential HSE applications include crisis management, human safety, evacuation assistance, hazardous-area identification, traffic control, carbon-footprint reduction, and environmental surveys. One of the study’s main objectives was to move from traditional unmanned autonomous vehicles (UAV) to resident systems and to investigate the possibilities they could offer. Aerial views have been used extensively to reduce personnel exposure in specific situations such as difficult access or potentially dangerous inspection areas like active flares, confined spaces, or high structures. In these cases, the drones are controlled by an on-site pilot who is either within their line of sight or a short distance away. Combining AUV technology with embedded and associated intelligence from the internet of things (IoT), artificial intelligence (AI), and cloud and edge computing should enable drones to fly safely in complex and dynamic environments, resulting in integrated, resident systems that are permanently deployed at construction sites and available 24/7 without the need for an on-site certified pilot. Implementing these technologies will make data accessible and available in real time to people working on the project worldwide and it will also generate new work processes for project management and execution. Flight and Operations Testing According to the paper’s primary author, Nicolas Tcherniguin, manager of offshore business and technology with TechnipFMC, digital tools such as image recognition, machine learning, and simulation of digital twins based on the drone’s flight have been tested. Remaining bottlenecks have been identified, and some have been addressed while others will require additional efforts. AI development will offer additional features, especially if they can be integrated with other ground monitoring devices.

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