IDEAS home Printed from https://ideas.repec.org/a/taf/jriskr/v23y2020i9p1242-1257.html
   My bibliography  Save this article

Examining alternatives to traditional accident causation models in the offshore oil and gas industry

Author

Listed:
  • Rumy Hasan
  • Christopher Chatwin
  • Mustafa Sayed

Abstract

Several recent studies assert that in complex systems, mishaps often result from non-linear interactions between very normal behaviours. These interactions gradually shift the system to a point at which safety is compromised. Exploring such a paradigm can shine a light on the reasons behind the failure of current safety models. This paper attempts to assess accident causation theory and complexity and systems thinking in the offshore oil and gas industry. Additionally, the lack of a theoretical basis to deal with complex socio-technical environments has been a common theme, so this paper further seeks out patterns that emerge after-the-fact, which could help to identify relevant theories. The paper recommends chaos theory and resilience engineering as alternative theoretical foundations for safety frameworks in the offshore oil and gas industry.

Suggested Citation

  • Rumy Hasan & Christopher Chatwin & Mustafa Sayed, 2020. "Examining alternatives to traditional accident causation models in the offshore oil and gas industry," Journal of Risk Research, Taylor & Francis Journals, vol. 23(9), pages 1242-1257, September.
    • Handle: RePEc:taf:jriskr:v:23:y:2020:i:9:p:1242-1257
    DOI: 10.1080/13669877.2019.1673796
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13669877.2019.1673796
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/13669877.2019.1673796?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:jriskr:v:23:y:2020:i:9:p:1242-1257. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RJRR20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.