Abstract
Abstract The present article proposes to apply a Risk-Based Maintenance methodology in a gas compression system. This risk calculation is based on a semi-quantitative mathematical model that uses the interdependence of process variables and predictive maintenance data applied in a Condition-Based Maintenance methodology, in order to obtain the calculation of the dynamic risk. This promotes a review of maintenance and reliability strategies proactively in real time. The dynamic risk applied to the system involves the interface of predictive maintenance and process variables with the reliability and risk analyses of the system. This value, which is associated with the financial aspects, safety, people and environment, can be compared to the tolerable risk of production plant operation, providing operation or maintenance decisions. An example demonstrates the integration of process and maintenance data using this model methodology for a gas compression system. This framework can be applied to evaluate the integrity of systems, providing critical risk-based information for the maintenance and operation teams, assisting then in the mitigation of failures in the production systems.
Highlights
An unavailable gas plant results in revenue loss for any industry
Qingfeng et al (2011) show the necessity to integrate models as RAM (Reliability, Availability and Maintainability) and classify a time based risk indicator, introducing transient or online information in order to adjust the preventive and corrective actions of an industrial process. Another strategy adopted in asset management is CBM (Condition-Based Maintenance), whose concepts and implementation are presented in ISO 13374-1 (2003)
The dynamic risk model previously discussed was used to evaluate the gas compression systems presented in the scope item, based on their six-year process and maintenance data
Summary
An unavailable gas plant results in revenue loss for any industry. Considering health, safety and ecological (HSE) principles, the main systems or equipment must be reliable and secure, so their integrity must be assured. Asset Management uses Risk-Based Inspection (RBI) and Condition-Based Maintenance (CBM) as pillars for its implementation, as shown in Kardec et al (2014), who recommend this methodology as state-of-art that improves production results ranking at a high and necessary reliability level Both in international standards used in oil and gas industry and in academic investigation, this theme, Risk and Condition-Based Maintenance, has matured usage in several industrial areas and literature confirms this, as shown as follows. Qingfeng et al (2011) show the necessity to integrate models as RAM (Reliability, Availability and Maintainability) and classify a time based risk indicator, introducing transient or online information in order to adjust the preventive and corrective actions of an industrial process Another strategy adopted in asset management is CBM (Condition-Based Maintenance), whose concepts and implementation are presented in ISO 13374-1 (2003). More details and developments can be seen in Thom (2018), and in this area, it is important to see Khan & Haddara (2003)
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