Skip to main content

Plan Recommendation for Well Engineering

  • Conference paper
Book cover Modern Approaches in Applied Intelligence (IEA/AIE 2011)

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 is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. jColibri CBR Framework, http://gaia.fdi.ucm.es/projects/jcolibri/

  2. Stewart, S., Vogt, C.: A Case-Based Approach to Understanding Vacation Planning. Leisure Sciences 21(2), 79–95 (1999)

    Article  Google Scholar 

  3. High Performance Case-Based Planning, www.cs.umd.edu/projects/plus/Caper/

  4. DrillEdge, www.verdandetechnology.com/products-a-services.html

  5. Smyth, B.: Case-based recommendation. In: Brusilovsky, P., Kobsa, A., Nejdl, W. (eds.) Adaptive Web 2007. LNCS, vol. 4321, pp. 342–376. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  6. Sahay, S., Ram, A.: Conversational Framework for Web Search and Recommendations. In: ICCBR Workshop Proceedings, pp. 161–170. Springer, Heidelberg (2010)

    Google Scholar 

  7. Skalle, P., Aamodt, A., Sveen, J.: Case-Based Reasoning, a method for gaining experience and giving advice on how to avoid and how to free stuck drill strings. In: IADC Middle East Drilling Conference, Dubai (1998)

    Google Scholar 

  8. Aamodt, A.: Knowledge-Intensive Case-Based Reasoning in CREEK. In: 6th Int. Conference on Case-Based Reasoning, Workshop Proceedings, pp. 62–71 (2005)

    Google Scholar 

  9. Islam, A.M., Skalle, P.: Review of wellbore instability cases in drilling through case base resoning (CBR) method. In: Proceedings of the International Conference on Mechanical Engineering (2007)

    Google Scholar 

  10. Skalle, P., Aamodt, A.: Knowledge-Based decision support in oil well drilling. In: Intelligent Information Processing II IFIP International Conference on Intelligent Information Processing, vol. 163, pp. 443–455 (2005)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Thomson, R., Massie, S., Craw, S., Ahriz, H., Mills, I. (2011). Plan Recommendation for Well Engineering. In: Mehrotra, K.G., Mohan, C.K., Oh, J.C., Varshney, P.K., Ali, M. (eds) Modern Approaches in Applied Intelligence. IEA/AIE 2011. Lecture Notes in Computer Science(), vol 6704. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21827-9_45

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-21827-9_45

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21826-2

  • Online ISBN: 978-3-642-21827-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics