Estimating Pump Reliability using Recurrent Data Analysis for Failure Modes

Major equipment such as centrifugal pumps play an important role in oil and gas business. The main concern which is highlighted is the pumps’ performance at site whether it is reliable or instead. In this study, the analysis is done in order to estimate pump reliability using recurrent data analysis (RDA) for failure modes. Thus four centrifugal pumps in Onshore Slugcatcher (OSC) terminal are used as the case study to verify the analysis done on repairable system. The reliability and availability of the centrifugal pumps could be determined using parametric recurrent data analysis approach. Thus the data regarding the centrifugal pumps operated in Onshore Slugcatcher terminal is collected from PETRONAS Carigali Sdn. Bhd before they will be further analysed using reliability software such as Weibull++ and BlockSim from ReliaSoft Corporation. Based on the explanatory results, the failure modes of respective centrifugal pumps are identified and categorized based on ISO 14224 standard. Next, Weibull++ software is used to determine the failure and repair distributions, while the reliability block diagram of the pump by failure modes is generated using BlockSim. The reliability and availability by failure modes and pump units are determined. The further analysis is hoped will benefit the maintenance team to come up with better maintenance strategy to improve the pumps’ performance.
Keywords: Recurrent Data Analysis (RDA), Repairable System, Reliability Block Diagram, Centrifugal pump,