Safety
The company said its frequency of serious incidents was down at the end of the year from its levels at the end of 2024.
This paper examines how real-time monitoring can improve both incident prevention and emergency response in the oil and gas industry. Drawing from real-world examples and case studies, it provides practical strategies for implementing this technology effectively.
This paper presents a novel application of artificial intelligence in computer vision for automating blowout-preventer pressure-chart-data extraction, demonstrating significant efficiency gains and a high return on investment.
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In 2013, a technology-development project began that digitized, automated, and applied analytics to blowout preventer pressure testing. As a result of the deployment of automated BOP testing, significant improvements have been achieved in process safety, personal safety, and rig-time savings. -
Competency in human factors is all too often focused on frontline operators, and the importance of human-factors skills among other groups is unappreciated. To be truly effective, human-factors principles have to be implemented throughout an organization.
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The oil and gas industry has picked up on the benefits of digitization and artificial intelligence in its day-to-day activities, and the health, safety, and environment sector is no exception. While AI brings clear benefits, the risks that come with those benefits remain unclear.
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The coronavirus crisis had a devastating effect on oil-company revenues, but it has posed a tough human-resources problem too: how to keep workers safe on cramped rigs at sea where social-distancing is impossible. Many operators have found an answer in technology—specifically, digital twins.
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Addressing engineering or mechanical controls alone without addressing the human behavior at the center of operations in the energy industry limits process safety efforts to decrease serious incidents and fatalities.
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The Petroleum Safety Authority Norway is worried about a rising number of serious incidents in the industry and has asked the companies to prioritize work on safety.
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In 2019, the oil and gas industry experienced 25 deaths, according to a new report released by the International Association of Oil and Gas Producers. This compares with 31 fatalities in 2018.
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As the science has developed, accident-causation models have improved understanding of why accidents happen and how to reduce their likelihood. In more contemporary models, this approach also has been used to improve the understanding of why things go right and how to increase that likelihood.
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The IOGP Safety Committee has conducted a multiyear strategic project to focus on fatality prevention, known as Project Safira, which addresses transportation safety, personal safety, and process safety. This paper presents data-analysis work conducted on process safety and the associated learnings.
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The question is: Why do workers continue to get injured on the job despite federal standards interjecting?
