Shutdown preparedness monitoring

Abstract

Statoil is a prominent Norwegian actor in the oil and gas industry at home and abroad. Maintaining the offshore installations has gradually become more important in line with the installations age, increased HMS demands and the fact that the offshore industry is extremely capital intensive.

Management of shutdowns is an essential part of Statoil’s strategy for safe and efficient operation of assets or plants.

The objective of the thesis is to investigate existing methods and tools that measures turnaround preparedness and propose areas for improvements. The work shall include a review of theory and practices related to performance indicators and address maintenance management with specific focus on measuring planned and unforeseen shutdowns.

The main tasks in this thesis were given in three points: Describe the state-of-the-art in key performance indicators related to maintenance management with specific focus on measuring shutdown preparedness.Review existing work processes, methods and tools that enables monitoring of shutdown preparedness.Investigate the shutdown preparedness and propose areas for improvement based on data collected from two different installations operated by Statoil. Key performance indicators related to maintenance management has been given thorough account for, where different groups of indicators have been presented, how the KPI logic differs between different levels in the organization and the relationship between the indicators. We are separating between economic, technical and organizational indicators. Lagging indicators are indicators of past events and results - prior to a shutdown. Leading indicators are measurements of what will lead to the desired events and results.

Shutdown preparedness is measured through monitoring of indicators identified by the experts from Statoil and IBM. The indicators measure the quality & volume of shutdown-related work orders as they pass through the natural work order maturing process: Initiating, planning, execution and termination. Monitoring of the indicators is done by creating a database, and then to perform queries in the relational database management system, Microsoft Access.