RESUMO

BACKGROUND: The treatment of bad actors consists of analyzing the most triggered alarms at a plant, seeking to make modifications that provide workers with more efficient and safer operational conditions. The consideration of plant operators' practical knowledge in these proposed changes is both an opportunity and a challenge, as specific conditions are required. OBJECTIVE: To present and discuss how an alarm management report (AMR) could support the treatment of bad actors by promoting structured debates on real work situations and its contribution in improving the solutions proposed by alarm management committees (AMCs). METHODS: Data from nine AMC meetings were gathered and parsed using qualitative content analysis to classify the kind of information that the AMC used to justify the proposed changes and how these changes were decided. RESULTS: More than 60% of the changes were justified by information provided by the AMRs, indicating broad application and adoption. However, our findings suggest that the structured debates addressed variability and emerging strategies and may consider entire subsystems instead of single alarms. CONCLUSION: The use of structured debates is feasible for the treatment of bad actors and is an appropriate option that includes operating experience feedback for alarm optimization in industrial facilities.

Assuntos

Gestão da Segurança , Humanos , Indústria de Petróleo e Gás , Retroalimentação

RESUMO

In automated plants, particularly in the petrochemical, energy, and chemical industries, the combined management of all of the incidents that can produce a catastrophic accident is required. In order to do this, an alarm management methodology can be formulated as a discrete event sequence recognition problem, in which time patterns are used to identify the safe condition of the process, especially in the start-up and shutdown stages. In this paper, a new layer of protection (a Super-Alarm), based on the diagnostic stage to industrial processes is presented. The alarms and actions of the standard operating procedures are considered to be discrete events involved in sequences; the diagnostic stage corresponds to the recognition of the situation when these sequences occur. This provides operators with pertinent information about the normal or abnormal situations induced by the flow of the alarms. Chronicles Based Alarm Management (CBAM) is the methodology used in this document to build the chronicles that will permit us to generate the Super-Alarms; in addition, a case study of the petrochemical sector using CBAM is presented in order to build one chronicle that represents the scenario of an abnormal start-up of an oil transport system. Finally, the scenario's validation for this case is performed, showing the way in which, a Super-Alarm is generated.