Optimizing Maintenance Practices in Oil and Gas Industries: A Case Study Of Pump and Engine Operations in Nigeria
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Abstract
This study evaluates the application of optimisation strategies in the operation and maintenance of selected machinery used in oil and gas facilities. A year-long assessment (January–December) was conducted, during which cumulative operational hours were recorded for various machines. Caterpillar equipment demonstrated the highest monthly usage at 800 hours, followed by pumps, coupling alignment, and crack detection equipment at 600 hours. Compressors and meteorological data analysis tools recorded 384 hours, while material quality and overhaul equipment registered 320 and 288 hours respectively. Analysis of the G3512 Caterpillar engine indicated power piston summations of 20.35 (right) and 20.53 (left). Significant wear deviations and clearance variability were observed in engine and pump components. Coupling alignment and meteorological analysis tools exhibited superior performance in terms of time and reliability, whereas other machines showed reduced efficiency due to operational inconsistencies. The adoption of indicator matrices and facility performance data enabled the development of new maintenance strategies that enhanced efficiency, reduced costs, and improved return on investment. The study recommends structured maintenance optimisation, personnel training, proper documentation, and the use of programmable control modules to ensure fault traceability and operational consistency in oil and gas plants.
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Optimizing Maintenance Practices in Oil and Gas Industries: A Case Study Of Pump and Engine Operations in Nigeria
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Description
This study evaluates the application of optimisation strategies in the operation and maintenance of selected machinery used in oil and gas facilities. A year-long assessment (January–December) was conducted, during which cumulative operational hours were recorded for various machines. Caterpillar equipment demonstrated the highest monthly usage at 800 hours, followed by pumps, coupling alignment, and crack detection equipment at 600 hours. Compressors and meteorological data analysis tools recorded 384 hours, while material quality and overhaul equipment registered 320 and 288 hours respectively. Analysis of the G3512 Caterpillar engine indicated power piston summations of 20.35 (right) and 20.53 (left). Significant wear deviations and clearance variability were observed in engine and pump components. Coupling alignment and meteorological analysis tools exhibited superior performance in terms of time and reliability, whereas other machines showed reduced efficiency due to operational inconsistencies. The adoption of indicator matrices and facility performance data enabled the development of new maintenance strategies that enhanced efficiency, reduced costs, and improved return on investment. The study recommends structured maintenance optimisation, personnel training, proper documentation, and the use of programmable control modules to ensure fault traceability and operational consistency in oil and gas plants.
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