Risk perception and safety analysis on petroleum production system of three gas fields in Bangladesh

Abstract

Accidents are common in the petroleum industry. The risk of accidents can be easily minimized by understanding the harm early in the production system. This study presents a perception-based risk and safety analysis of petroleum production systems. Data were collected from three fields operated by Sylhet Gas Fields Limited in Bangladesh. The Statistical Package for the Social Sciences (SPSS) software was used to analyze the data. The results were then subjected to a frequency analysis, an analysis of variance (ANOVA), and a reliability analysis. The frequency analysis indicated the overall safety situation, and the ANOVA models and reliability analysis substantiated the results. A chi-squared test indicated the association between the datasets. The outcomes of the risk matrix indicated various risk levels, such as low, moderate, and high. According to the implicit risks, necessary measures were recommended for the industry's future.

Keywords

• Oil and gas industry
• Perceived risk
• Risk matrix
• Qualitative data
• Hazard identification