Evaluating and optimising integrated planning in complex production assets: learnings from offshore petroleum industry

Yu Bai and Jayantha P. Liyanage

International Journal of Decision Sciences, Risk and Management, 2010, vol. 2, issue 3/4, 252-275

Abstract: With the changes in production conditions in the oil and gas industry, what was very evident of the last few years was the need for more integrated solutions to achieve the objectives. As a result, integrated planning (IP) is gradually appearing as a novel approach to resolving some of the challenges associated with traditional work planning practices. The IP aims at achieving desired planning goals through more effective and efficient coordination of multi-disciplinary planning tasks under various limitations and constraints involving a systematic and a well-defined process. This paper presents a benchmarking portal together with a pilot framework of IP, based on the field data collected through a case study performed in Norway and China. This aimed at the definition of comprehensive details of the IP process for systematic follow up, the development of a mechanism to periodically evaluate the current status and find gaps in the existing IP process, and the development of means to prioritise the important tasks in continuity with the IP development and implementation process.

Keywords: integrated planning; integrated work processes; asset management; work management; integrated operations; complex production assets; offshore petroleum industry; Norway; China. (search for similar items in EconPapers)
Date: 2010
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=37486 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijdsrm:v:2:y:2010:i:3/4:p:252-275

Access Statistics for this article

More articles in International Journal of Decision Sciences, Risk and Management from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().