Modification of TRACEr model as a tool in analysing accidents for the oil and gas industry: The TRACEr-OGI

Abstract

Abstract: Safety the reversed side of an accident, is always an integral requirement of every organisational set up. Hence analysis for accidents classified as essential in any safety critical organisation (Busse 2002). Oil and gas industry as one of the sectors with highest number of accident report has long way trying to
adopt several established accidents analysing models to address this aspect. Therefore, this paper critically analyses and adopts one of such models called TRACEr model to fit into the oil and gas industrial accidents. The TRACEr is used
for the fact that it appears to have a comprehensive approach to both error
prediction and analysis (Stanton et. al 2003). In achieving this, taxonomies of most benefit were adopted while making changes to some key areas. To test the reliability of the new TRACEr OGI, reports on oil and gas accidents scenarios from the IOGP database focussing on Russia and central Asia were used. The new TRACEr OGI has seven levels of taxonomies as opposed to be eight from the main TRACEr. The central change been made at the Cognitive level of the operator context. The result of the analysis for reliability test shows that, there exist a reasonable percentage of correlation for the Human-Machine interface and the task errors in the oil and gas industry.