Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
FRAM AHP approach to analyse offshore oil well drilling and construction focused on human factors
UFF (Universidade Federal Fluminense), Rio de Janeiro, Brazil.
Jönköping University, School of Health and Welfare, The Jönköping Academy for Improvement of Health and Welfare.ORCID iD: 0000-0003-1666-7507
IEN (Instituto de Energia Nuclear), Rio de Janeiro, Brazil.
UFRJ (Universidade Federal do Rio de Janeiro), Rio de Janeiro, Brazil.
2019 (English)In: Cognition, Technology & Work, ISSN 1435-5558, E-ISSN 1435-5566Article in journal (Refereed) Epub ahead of print
Abstract [en]

Since the beginning of the well-drilling activities of oil and gas industry, in the 19th century, these activities have presented specific risks that, over the course of their evolution to the present day, have greatly increased their potential to cause harm to people, the environment, and corporate sustainability. Stimulated by the world’s energy needs, especially in developed and growing countries, the technology used by the O&G industry has evolved significantly, not only to increase production and profit 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 complex systems such as offshore oil rigs. In addition, inevitably, the technological contribution implemented in offshore drilling systems 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 that in mind, a FRAM model was developed to understand the levels of complexity and show the relevant human factors that are critical for the safe operations of these workplaces, considering the natural and variability that emerges from these labour scenarios. 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.
Keywords [en]
AHP, Construction, Drilling, FRAM, Human Factors, Offshore, Ferroelectric RAM, Gas industry, Hierarchical systems, Human engineering, Infill drilling, Investments, Offshore drilling, Offshore oil well production, Oil well drilling, Sustainable development, Corporate-sustainability, Increase productions, Oil and Gas Industry, Process of evolution, Protection systems, Sociotechnical systems, Offshore oil wells
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:hj:diva-46855DOI: 10.1007/s10111-019-00594-zScopus ID: 2-s2.0-85073984139Local ID: ;HHJIMPROVEISOAI: oai:DiVA.org:hj-46855DiVA, id: diva2:1371138
Available from: 2019-11-19 Created: 2019-11-19 Last updated: 2019-11-19

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records BETA

Hollnagel, Erik

Search in DiVA

By author/editor
Hollnagel, Erik
By organisation
The Jönköping Academy for Improvement of Health and Welfare
In the same journal
Cognition, Technology & Work
Production Engineering, Human Work Science and Ergonomics

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 23 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf