Reduce Unplanned Shutdown on Surface Facilities of Oil and Gas Plant Process - In the case of Upstream Oil and Gas Business Yedi Rahmat Supriyadi
a) School of Business and Management, Institute Technology Bandung, Bandung 40132, West Java, Indonesia
b) PT. Pertamina Sub Holding Upstream Regional 4, South Jakarta 12950, Jakarta, Indonesia
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. Based on the issue of fluctuating oil & gas price issues, declining oil & gas reserves, especially in Indonesia and the increasingly sensitive oil & gas wells to plant shutdown conditions, 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. However, predictive maintenance activities experience problems in analyzing big data on the results of condition monitoring so that the ability to take action to prevent abnormal conditions of industrial operations still takes time.
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.
Topic: Innovation, IT, Operations and Supply Chain Management
