Reduce Unplanned Shutdown on Surface Facilities of Oil and Gas Plant Process

Abstract

The purpose of this study is to assess the impact of equipment condition monitoring and asset management based on historical data management on reducing unplanned shutdowns and improving plant reliability to meet company expectations and maintain the safety of upstream oil and gas business installations. The scope of research is limited to the application of condition monitoring analysis methods, big data management and the concept of operation on turbomachinery in surface facilities in maintenance activities in upstream oil and gas business. The research approach is carried out quantitatively and qualitatively. The quantitative approach uses references to experience in employment in the field of maintenance of surface facilities, the use of turbomachinery equipment operating data including organizational and human capital influence in upstream oil and gas industries. The utilization of library reviews on Statistical Quality Control is used to facilitate the realization of the purpose of this research. Condition monitoring is an innovation in the field of equipment maintenance and is the basis for the formation of predictive maintenance methods. The study is to ensure that big data analysis is the main capital to reduce unplanned plant shutdown in the oil and gas industry.

Keywords: Oil and Gas shortfall, Surface Facilities, Preventive Maintenance, Predictive Maintenance, CMIMS (Computerized Maintenance Inspection Management System), Unplanned shutdown, Turbo-compressor, Obsolescence, spare parts, Availability, Reliability, Artificial Intelligent, Statistical Quality Control, Six Sigma, innovation and design thinking, Knowledge Management