Suhirman, Dadang and Wijayanto, Titis and Azis, Muhammad Mufti (2024) Framework Development to Investigate the Influencing Factors of Accidents in Upstream Oil and Gas Industries: Integrating Situational Awareness (SA) Error Taxonomy and Human Factor Analysis & Classification System (HFACS). In: PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON ENGINEERING, TECHNOLOGY, AND INDUSTRIAL APPLICATIONS 2021 (8TH ICETIA 2021): Engineering, Environment, and Health: Exploring the Opportunities for the Future, 15–16 December 2021, Surakarta, Indonesia.
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The upstream oil and gas industry is considered a high-risk industrial sector with several catastrophic accidents that happened in the past. Lack of situational awareness (SA) has been reported contributing to accidents in this domain significantly. However, the accident analysis frameworks commonly used in the oil and gas sector do not specifically address the role of SA and its influencing factors. This paper proposed an accident analysis framework by integrating SA error taxonomy and Human Factor Analysis & Classification System (HFACS), initially developed for the aviation industry. The output of this study is a novel accident analysis framework to analyze the role and structural relationship of systemic influencing factors of situational awareness in upstream oil and gas accidents. © 2024 American Institute of Physics Inc.. All rights reserved.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Additional Information: | Cited by: 0 |
| Subjects: | T Technology > TJ Mechanical engineering and machinery |
| Divisions: | Faculty of Engineering > Mechanical and Industrial Engineering Department |
| Depositing User: | Rita Yulianti Yulianti |
| Date Deposited: | 09 Jul 2025 02:01 |
| Last Modified: | 09 Jul 2025 02:01 |
| URI: | https://ir.lib.ugm.ac.id/id/eprint/13319 |
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