Retrospective and Predictive Analysis of Cognitive Errors (TRACEr) Oil and Gas Industry (OGI): A Case Study of the International Association of Oil and Gas Producers (IOGP)
Abstract
This paper is a detailed comparative investigation of adaptability, fitness and performance consistency of three human error identification (HEI) tools: Retrospective and Predictive Analysis of Cognitive Errors TRACEr-Railway Industries (RWI), TRACEr-Air Traffic Control (ATC) and TRACEr-Lite. The study seek to remodel and adapt these HEI tools to better appropriately suit and regularly used in the oil and gas industries (OGI), the result indicated that TRACEr-Lite is regarded more closely rated to developed TRACEr-OGI in terms of usability and reliability in the oil and gas industries. In the analysis from table 1a, b and c TRACEr-OGI was extracted to obtained and identify human errors (HE) from already developed HEI tools. In the analysis in table 2 TRACEr-lite and TRACEr-OGI was used to extract and identify HE from the International Association of Oil and Gas Producers (IOGP) incidencesin the Russian or the Caspian region.The investigation result uncovered that the modification will improved the ratings of adaptability and usability in OGI. The oil and gas industries in their desire to overhaul the current status of accidents and incidences in OGI exploration and production with a narrow window, are in dire need for a health and safety software in form of a guide that would reduce high risks and hazards associated with the industry in general and particularly with manage pressure drilling, well control and evaluation as well as the numerous zero tolerance zones in the refineries. This study is born out to response to these urge by the OGI via developing an incorporated health and safety tools refers to Technique for Retrospective and Predictive Analysis of Cognitive Errors in Oil and Gas Industries TRACEr-OGI. These model findings combined a remodel task demands from three human errors identification tools to proposed these guide that introduces the new PSFs peculiar to OGI that could detect risks prior to and during the process. The TRACEr-OGI tools offers highly precise risk identification and more easy to handle. Integrating the human factors in three HEI tools risk analysis had been yielding promising success in improving OGI accident risk assessment and hence improving safety culture and tools reliability in the overall OGI safety systems.
