Publications / 2017 Proceedings of the 34rd ISARC, Taipei, Taiwan

Application of Configuration Management for Engineering Information Management in Pipeline Projects

Doyun Lee, Seokyung Won, Choonghee Han, Moonyoung Cho and Junbok Lee
Pages 750-757 (2017 Proceedings of the 34rd ISARC, Taipei, Taiwan, ISBN 978-80-263-1371-7, ISSN 2413-5844)

Since April 2009, Korea has been importing 1.5 million tons of LNG(Liquefied Natural Gas) annually from the Sakhalin-II project, which is operated by Gazprom, Russia's largest state-run gas company. Also, it is expected that the cost of pipeline construction will reach $55 ~ 60 trillion by 2018. In this long-distance pipeline construction project, the importance of effective management of the vast amount of information generated throughout the life cycle stands out, and KOGAS(Korea Gas Corporation) has been cooperated with by Gazprom in a variety of fields such as natural gas supply and performing gas-related projects since the signing of the Gas Cooperation Agreement with Gazprom in December 2016. However, the level of related technology in Korea is still not competitive. Then, many experts sought to focus on the improvement of the life cycle process and efficient management, and it is very important to maintain up-to-date data and utilize it for work during long-term projects to reflect changes in pipeline projects. Therefore, in this study, we propose a method to apply the Configuration Management to efficiently manage the changeable information generated during the engineering phase of the pipeline project. It is possible to systematically manage information that enables conformity and traceability of the design requirements and physical configuration of the changes in the engineering phase. This study concentrates on Configuration Management which is one of the techniques applied to efficiently manage the information generated in the engineering phase. So it is expected that efficient information change management would be achieved in the engineering phase by establishing data structure for each design requirement and physical configuration, and developing a model which facilitates linkage among the elements in the three areas of configuration management.

Keywords: Configuration Management, Data Breakdown Structure, Pipeline, Engineering Information Management, Conformity, Traceability