Plan recommendation for well engineering.

Thomson, Richard; Massie, Stewart; Craw, Susan; Ahriz, Hatem; Mills, Ian

Abstract

Good project planning provides the basis for successful offshore well drilling projects. In this domain, planning occurs in two phases: an onshore phase develops a project plan; and an offshore phase implements the plan and tracks progress. The Performance Tracker applies a case-based reasoning approach to support the reuse of project plans. Cases comprise problem parts that store project initiation data, and solution parts that record the tasks and subtasks of actual plans. An initial evaluation shows that nearest neighbour retrieval identifies projects in which the retrieved tasks and subtasks are relevant for the new project. The Performance Tracker can be viewed as a recommender system in which recommendations are plans. Thus the data that is routinely captured as part of the performance tracking during offshore implementation is utilised as experiences. This conference was held in Syracuse, NY.

Citation

THOMSON, R., MASSIE, S., CRAW, S., AHRIZ, H. and MILLS, I. 2011. Plan recommendation for well engineering. In Mehrotra, K.G., Mohan, C.K., Oh, J.C., Varshney, P.K. and Ali, M. (eds.) Modern approaches in applied intelligence: proceedings of the 24th International conference on industrial, engineering and other applications of applied intelligent systems (IEA/AIE 2011), 28 June - 1 July 2011, Syracuse, USA. Lecture notes in computer science, 6704. Berlin: Springer [online], part II, pages 436-445. Available from: https://doi.org/10.1007/978-3-642-21827-9_45

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 24th International conference on industrial, engineering and other applications of applied intelligent systems (IEA/AIE 2011)
• Start Date: Jun 28, 2011
• End Date: Jul 1, 2011
• Acceptance Date: Jul 31, 2011
• Online Publication Date: Jul 31, 2011
• Publication Date: Dec 31, 2011
• Deposit Date: Oct 22, 2015
• Publicly Available Date: Oct 22, 2015
• Publisher: Springer
• Peer Reviewed: Peer Reviewed
• Pages: 436-445
• Series Title: Lecture notes in computer science
• Series Number: 6704
• ISBN: 9783642218262
• DOI: https://doi.org/10.1007/978-3-642-21827-9_45
• Keywords: Case based reasoning; Recommender systems
• Public URL: http://hdl.handle.net/10059/1321
• Contract Date: Oct 22, 2015