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FRAM AHP approach to analyse offshore oil well drillingand construction focused on human factors
Universidade Federal Fluminense, Brazil. (Human Factors in Safety Training)ORCID iD: 0000-0002-3902-5307
Jönköping Univeristy, Sweden.
Instituto de Energia Nuclear, Brazil.
Universidade Federal do Rio de Janeiro, Brazil.
2019 (English)In: Cognition, Technology & Work, ISSN 1435-5558, E-ISSN 1435-5566, Vol. 22, p. 653-665Article in journal (Refereed) Published
Abstract [en]

Since the beginning of the well-drilling activities of oil and gas industry, in the 19th century, these activities have presentedspecific risks that, over the course of their evolution to the present day, have greatly increased their potential to cause harmto people, the environment, and corporate sustainability. Stimulated by the world’s energy needs, especially in developed andgrowing countries, the technology used by the O&G industry has evolved significantly, not only to increase production andprofit levels, but also to reduce the risks of these activities, using reliable automation and other barriers to worker protection.However, despite all this investment, accidents such as the Deepwater Horizon, in 2010, and Odebrecht NS-32, in 2017,shown that there are still gaps in this process of evolution of protection systems, especially those used in highly complexsystems such as offshore oil rigs. In addition, inevitably, the technological contribution implemented in offshore drillingsystems increases their complexity and, consequently, also increases the complexity of the relationship between workers,systems, machines, and environment, definitively characterizing oil rigs as complex socio-technical systems. Keeping thatin mind, a FRAM model was developed to understand the levels of complexity and show the relevant human factors that arecritical for the safe operations of these workplaces, considering the natural and variability that emerges from these labourscenarios. Some functions of the FRAM model built presented significant variability, as function “Perform drilling operations”,where the most significant variabilities were observed in its 10 outputs, causing a large resonance within the model,once their couplings, mostly in their control aspects, can vary in terms of time and precision.

Place, publisher, year, edition, pages
Springer, 2019. Vol. 22, p. 653-665
Keywords [en]
FRAM AHP Human Factors Offshore Drilling Construction
National Category
Social Work
Research subject
Technology (byts ev till Engineering), Skills and Technology
Identifiers
URN: urn:nbn:se:lnu:diva-100398DOI: 10.1007/s10111-019-00594-zISI: 000554718300014Scopus ID: 2-s2.0-85073984139OAI: oai:DiVA.org:lnu-100398DiVA, id: diva2:1520949
Available from: 2021-01-21 Created: 2021-01-21 Last updated: 2024-09-03Bibliographically approved

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Franca, Josue

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