(700a) A Process Resilience Analysis Framework (PRAF) Application for Recoverability Assessment Model of Offshore Oil and Gas Platforms

In the offshore oil and gas platforms, process safety incidents cause severe consequences such as fatalities, injuries, loss of property, financial losses, and poor reputation. The effectiveness of safety and emergency measures and their implementation is impacted due to the demanding environment and complex nature of the offshore operations ^[1,2]. Many studies in literature have introduced the recoverability or emergency assessment models ^{[3, 4, 5]}. These studies have addressed mostly the technical aspects or social aspects in a fragmented manner. The challenge is to integrate both the technical and social aspects in a comprehensive manner that utilizes the key metrics data.

In this work, a recoverability assessment model is described and an optimum combination and prioritization of mitigation barriers are determined. The overall purpose is to obtain a reduction in the response time culminating in reduced consequences and enhanced recovery. This model is based on the Process Resilience Analysis Framework (PRAF)^[6,7] and considers the resilience metrics that integrate both technical (process parameters variations) and social (human and organizational) factors. Some examples of these process system resilience metrics are tests for emergency systems and procedures; mock drills for emergency situations; process safety required training sessions completed; process safety required emergency procedures reviewed or revised; and shift handover communication violations. It is a quantitative and data-driven model. An illustration of an offshore oil and gas platform with various emergency scenarios is applied to demonstrate the developed recoverability assessment model. The key elements of this model are – 1) a process simulation model that captures the details such as process variations, 2) a safety model that takes into account the impact scenarios and respective losses, 3) building model that covers the geometry of the platform, and 4) a cost objective function. This work is a significant contribution as it employs the data that is collected at the facility and models scenarios that are challenging to simulate. The results indicate that this recoverability assessment model based on PRAF can accurately simulate the emergency scenarios and aids in improving the response to such situations. This leads to decreased severity of consequences and hence betters recovery of the process system to transit to the normal operations. The established model is also applicable to other industries such as the pharmaceutical, construction, and nuclear industry.

References

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7. Jain, P., Pasman, H. J., Waldram, S., Pistikopoulos, E. N., & Mannan, M. S. (2017). Process Resilience Analysis Framework (PRAF): A systems approach for improved risk and safety management. Journal of Loss Prevention in the Process Industries.