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Development of Gas Compressor Diagnostic Program Using Knowledge Based Management Concept

Sulaiman, S. A. and Abdul Rahman, Khairil Ikhwan and Jasmani, Mohd Shahrizal (2013) Development of Gas Compressor Diagnostic Program Using Knowledge Based Management Concept. In: ASME 2013 International Mechanical Engineering Congress, 15-21 November 2013, San Diego, California.

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Abstract

Gas compressor reliability is vital in oil and gas industry because of the equipment criticality which requires continuously operations. Currently, plant operators often face difficulties in predicting appropriate time for maintenance and would usually rely on time-based predictive maintenance intervals as recommended by Original Equipment Manufacturer (OEM). Delayed decision on compressor maintenance intervention has caused prolonged downtime due to poor readiness of spare parts and resources. The paper discussed on development of a software-based tool which is able to assist machinery engineers to quantify performance deterioration of gas compressor and predict optimum time for maintenance activities. Maintenance history data is collected and analysed regularly and maintenance advices are subsequently produced based on the input parameters. Natural gas compressors of an oil producing offshore platform at Peninsular Malaysia are used as a case study of this project. It was found that isentropic efficiency and head decrease, but gas power increases parabolically with time for the low pressure compressors, suspected due to heavy component fouling. From these information, Compressor Performance Monitoring Program (CPMP) is developed which able to compute the fouling level of the compressor in terms of performance indicators deviations. The results are then being utilized to estimate future maintenance requirements based on historical data. In general, this software provides a powerful tool for gas compressor operators to realize predictive maintenance approach in their operations.

Item Type:Conference or Workshop Item (Paper)
Subjects:T Technology > TJ Mechanical engineering and machinery
Academic Subject One:Academic Department - Mechanical Engineering - Energy - Energy conversion - Turbo machinery (tubines, compressors, etc.)
Departments / MOR / COE:Departments > Mechanical Engineering
Research Institutes > Energy
ID Code:10368
Deposited By: Dr Ir Shaharin A Sulaiman
Deposited On:23 Jan 2014 07:16
Last Modified:19 Jan 2017 08:21

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