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One of the greatest strategic focuses of the oil industry is the maintenance area, which is directly responsible for the availability of equipment involved in the production process. It affects the platform operational efficiency and consequently, the company results. Those results will increase with increases in effective maintenance management. In addition, the oil industry has experienced a wave of process optimization and systematization through new tools that support management and decision-making processes. This paper presents a workflow that enables remote monitoring of onboard equipment status (operating, stand-by, or unavailable), identification of equipment with elevated risk of target violations, and the calculation and analysis of availability indicators. It also provides access to the historical data of unavailability events for the equipment monitored. This workflow performs real-time equipment monitoring through several logic implementations using sensor signals, automatically recording events at the moment that the equipment shows to be unavailable, and sending alerts to personnel responsible for the equipment. In addition, some equipment that do not have sensor signals, which enables real-time monitoring, were included in the daily routine through a manual process of entering unavailability events in the system enabling a further analysis of the historical unavailability. Consequently, the availability indicator is calculated in real time on the basis of these unavailability events. During the monthly indicator consolidation process, the system generates a report of the equipment that functioned below the set target, enabling a focus on the treatment of the most critical equipment during maintenance and asset integrity meetings. The workflow solution provides several benefits. First, it monitors the status of equipment in real time, enabling a faster return to normality. It also captures unavailability events automatically, and records and provides details about these events. The workflow also monitors availability indicators, monitors major unavailability events by exception and historical analyses, and ensures the integrity of the process plant. |
