Data-Driven Insights: Analysing Accidents Contributory Factors in the Oil and Gas Industry
dc.contributor.advisor | Allum, Stephen | |
dc.contributor.author | Alsuhaibani, Yousef | |
dc.date.accessioned | 2025-02-03T10:02:48Z | |
dc.date.issued | 2024-09-02 | |
dc.description | This project evaluated five causes of accidents that occurred in the downstream facilities of the oil and gas industry. The study outlined and appraised all failed barriers within those indicators, both leading and lagging, which took the route towards accidents. The project has adopted STEP—Sequential Timed Event Plotting—which presented and mapped each event in chronological order. This enabled the evaluation of details regarding why the barriers failed and the causes. The project described the details of previous accidents to pinpoint shortcomings and 8 mistakes made, enhance the practices in safety management, and develop a good safety culture that would help avoid such accidents. | |
dc.description.abstract | The oil and gas industry, a vital component of the global energy supply, is an industry with severe operational risks. The possibility of catastrophic accidents with severe impacts on human lives, the environment, and the economy, in spite of all technological advancements and stringent regulatory frameworks, still remains. This paper discusses the contributory factors of significant accidents in downstream facilities through an in-depth analysis of five major accidents: Husky Energy Superior Refinery Explosion, Philadelphia Energy Solutions Refinery Fire, ExxonMobil Torrance Refinery Explosion, Tesoro Anacortes Refinery Explosion, and Silver Eagle Refinery Flash Fire. The study begins by identifying the recurring factors of these accidents, how to address them, and how to systematically reduce their serious consequences to help prevent similar accidents. It employs the Sequential Timed Events Plotting (STEP) methodology for systematic analysis. By using this method, data structure will be organised in consistent and orderly manner which will make the reconstruction of the incident details and determining of the underlying factors possible. The findings highlight the recurring factors in these accidents, including inadequate maintenance and inspection, poor quality materials, shortage of safety training, poor response to emergencies, and vulnerabilities during non-standard operation hours. Additionally, the study offers evidence-based recommendations to enhance safety management practices such as improved corrosion monitoring, the use of higher-quality materials, comprehensive safety training, and the adoption of advanced analytical methods such as AI and Bayesian networks. The recommendations aim to address risks, enhance the operational integrity of the oil and gas industry, and foster a strong safety culture. | |
dc.format.extent | 47 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14154/74811 | |
dc.language.iso | en | |
dc.publisher | Yousef Alsuhaibani | |
dc.subject | STEP | |
dc.subject | Sequential Timed Events Plotting | |
dc.title | Data-Driven Insights: Analysing Accidents Contributory Factors in the Oil and Gas Industry | |
dc.type | Postgraduate Projects | |
sdl.degree.department | Department of Chemical & Biological Engineering | |
sdl.degree.discipline | Process Safety and Loss Prevention | |
sdl.degree.grantor | University of Sheffield | |
sdl.degree.name | Master of sciense |