eprintid: 3816
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/38/16
datestamp: 2023-11-09 15:52:05
lastmod: 2023-11-09 15:52:05
status_changed: 2023-11-09 15:47:41
type: conference_item
metadata_visibility: show
creators_name: Sulaiman, S.A.
creators_name: Rahman, K.I.A.
creators_name: Jasmani, M.S.
title: Development of gas compressor diagnostic program using knowledge based management concept
ispublished: pub
keywords: Drilling platforms; Gas compressors; Gas industry; Knowledge based systems; Machinery; Offshore structures; Program diagnostics, Compressor performance; Compressor reliability; Knowledge-based management; Low pressure compressor; Maintenance requirement; Original equipment manufacturers; Performance deterioration; Performance indicators, Maintenance
note: cited By 3; Conference of ASME 2013 International Mechanical Engineering Congress and Exposition, IMECE 2013 ; Conference Date: 15 November 2013 Through 21 November 2013; Conference Code:105847
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. 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 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. Copyright © 2013 by ASME.
date: 2013
publisher: American Society of Mechanical Engineers (ASME)
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84903485310&doi=10.1115%2fIMECE2013-65914&partnerID=40&md5=06f42ce79a8894cdd8d172c5dbde9d0b
id_number: 10.1115/IMECE2013-65914
full_text_status: none
publication: ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)
volume: 5
place_of_pub: San Diego, CA
refereed: TRUE
isbn: 9780791856277
citation:   Sulaiman, S.A. and Rahman, K.I.A. and Jasmani, M.S.  (2013) Development of gas compressor diagnostic program using knowledge based management concept.  In: UNSPECIFIED.