Sarah Sholihatul Amalia
ABSTRACT
Process safety is related to leak prevention, oil spills, monitoring of equipment damage, overpressure, excess temperature, corrosion, metal fatigue, and other similar conditions. Besides, operations are related to productivity and risk management, so it is essential to monitor the process in depth. This paper is focusing on risk management of the downstream segment on the priority element of Process Safety Management (PSM). Based on research, Mechanical Integrity is the most critical element in PSM that have to be focused. The aspect of essential reliability of equipment, in this case, the compressor becomes vital to prevent shutdown/trip and unplanned maintenance, which will have an impact on oil and gas production. Historical failure data and support that include structured and unstructured data from the reciprocating compressor approximately from 2014 until 2019 will be collected. It will use to identify the damage patterns and reliability rates of the equipment. The regression value will be calculated by R as Big Data Analytics Software to determine whether Weibull distribution is sufficient. By using Weibull analysis, we can conclude that it will be more useful to use preventive maintenance as the first barrier from getting fail.
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Index Terms
- Process Safety Management (PSM) and Reliability for Compressor Inspection Using Big Data Analytics: A Conceptual Study
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