Offshore Oil And Gas Production Platform Dynamic Equipment Based On RCM Maintenance Strategy Research

With more and more importance attached to offshore fields,offshore platforms play an increasingly important role in oil&gas exploitation and transportation,which raises greater demands for efficient and steady operation of offshore platforms.Rotating equipment,as a crucial part of equipment on offshore platforms,are designed to provide adequate power for oil and gas production and transportation.The efficiency and stationarity of offshore platforms depend much on the rotating equipment,which requires that the rotating equipment keep a high level of reliability constantly.RCM(reliability-centric maintenance)technology has been developed for decades,which is widely employed in the fields of aviation,railways,ships,petrochemicals,etc,and achieves significant success.However,because of the lateness of its introduction,RCM technology is rarely employed on offshore platforms in China.In order to improve the status of maintenance and management of offshore platforms,the research on the maintenance strategies for rotating equipment is conducted in this paper.Firstly,the theory and methodology of RCM are elaborated,then the RCM procedure for rotating equipment on offshore platforms is established according to the characteristics.Meanwhile,an importance evaluation method is proposed based on expert marking and risk matrix to select important rotating equipment,thus improving the efficiency of RCM analysis.Secondly,targeting the important rotating equipment,the methods of system definition,component importance evaluation,FMECA(failure mode,effect and criticality analysis),and logical decision of maintenance modes are successively established.The component importance evaluation method is established based on AHP(Analytic Hierarchy Process)and Monte Carlo simulation,which decreases the subjectivity of traditional qualitative analysis and makes the result more accurate and credible.Four methods of criticality analysis are analyzed,and the traditional RPN method is modified based on weighted mean,which is able to compensate for the defects of traditional RPN method.According to engineering applications and applicability analysis of different maintenance modes,the logic maintenance decision model is established.An offshore crude oil pump is analyzed as an example according to the above-mentioned methods,and the FMECA table and maintenance modes of each failure mode are obtained.Finally,the method of reliability analysis based on failure data is proposed.The K-S test is used to determine the best life distribution model,and then three algorithms of moment estimation,least square and maximum likelihood estimation are employed to the parameter estimation of the determined life distribution model.The R-squared is used to select the best life distribution model,based on which the reliability functions and the maintenance cycle are calculated.At the end of this paper,an RCM analysis software for offshore platforms is developed based on MATLAB,thus improving the efficiency of RCM analysis.