Remote support services using condition monitoring and online sensor data for offshore oilfield

Abstract

Based on advanced technology in condition monitoring and online sensor data, a new style of operation and maintenance management called remote operation and maintenance support services has been created to improve oil and gas E&P performance. This master thesis will look into how the remote support service is conducted including the concept, design, technology and management philosophies; the current implementation of remote support services in China, Norway and the rest of the world to breaking barriers and creating business values; Explore the performance in LCC, RAM (reliability and maintenance） level perspective and decision making through the using of condition monitoring and online sensor data; study the future development of remote support services and Integrated Operations (IO).

The author will study the state of art technology from literatures, company documents and consult to the professors and engineers. A study of remote support services in ABB, SKF and ConocoPhillips will be conducted as an evolution of integrated operations.

Further research is needed to face many challenges exist in the practical use of the remote support services through successfully breaking barriers to boundary-less organizations and developing management process and competent employees into the organization. The cultural change is difficult but fatal for the success of the system implementation.

The suggested remote operation and maintenance support strategy is not complete for CNOOC and COSL, but gives a conceptual and an academic idea for practical use.