Skip to main content
SpringerLink
Log in

A Case Based System for Oil and Gas Well Design

  • Conference paper
  • First Online:
Developments in Applied Artificial Intelligence (IEA/AIE 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2358))

  • 1153 Accesses

Abstract

A case base system for a complex problem like oil field design needs to be richer than the usual case based reasoning system. The system described in this paper contains large heterogeneous cases with metalevel knowledge. A multi level indexing scheme with both preallocated and dynamically computed indexing capability has been implemented. A user interface allows dynamic creation of similarity measures based on modelling of the user’s intentions. Both user aiding and problem solution facilities are supported, a novel feature is that risk estimates are also provided. Performance testing indicates that the case base produces on average, better predictions for new well developments than company experts. Early versions of the system have been deployed into oil companies in 6 countries around the world and research is continuing on refining the system in response to industry feedback.

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

Access this chapter

Log in via an institution
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. Baker, R.,: A primer of Oil Well Drilling, U of Texas, (1996)

    Google Scholar 

  2. Breiman, L., Friedman, J.H, Olshen, R..A., Stone, C. J.: Classification and Regression Trees, Wadsworth (1984)

    Google Scholar 

  3. Apte, C, Damerau, F. and Weiss, S. H.: Automated Learning of Decision Rules for Text Categorization, ACM Transactions on Information Systems, Vol. 12, No. 3,(July 1994.)

    Google Scholar 

  4. Harabagiu, Sanda M, Moldavan Dan I.: TextNet-A Text Based Intelligent System,: Natural Language Engineering 3(2/3): 171–190 (1997)

    Article  Google Scholar 

  5. Irrgang, R., Irrgang H., Kravis, S., Irrgang S., Thonhauser, G., Wrightstone A., Nakagawa, E., Agawani, M., Lollback, P., Gabler, T., Maidla, E.,: Assessment of Risk and Uncertainty for Field Developments: Integrating Reservoir and Drilling Expertise: SPE Annual Technical Conference and Exhibition, New Orleans, USA, SPE 71419, Oct, (2001)

    Google Scholar 

  6. Irrgang, R.; Kravis, K., Maidla, E. E., Damski, C; Millheim, K., A Case Based System to Cut Drilling Costs: SPE Annual Technical Conference and Exhibition, October (1999)

    Google Scholar 

  7. Irrgang, Rosemary, Kravis, S., Agawani, Mamdouh and Maidla, Eric: Automated Storage of Drilling Experience: Capture and Re-use of Engineering Knowledge. In Petrotech New Delhi, (1999)

    Google Scholar 

  8. Kitano, H. and Shimazu, H.: The Experience Sharing Architecture: A Case Study in Corporate-Wide Case-Based Software Quality Control,: In Case-Based Reasoning, Experiences, Lessons and Future Directions, Leake, D. (ed) MIT Press, Massachusetts USA, (1996)

    Google Scholar 

  9. Kolodner, J and Leake D.: A Tutorial Introduction to Case-Based Reasoning,: In Case-Based Reasoning, Experiences, Lessons and Future Directions, Leake, D. (ed) MIT Press, Massachusetts USA, (1996)

    Google Scholar 

  10. Rama D. V. and Srinivasan, Padmini: An Investigation of Content Representation using Text Grammars,: ACM Transactions on Information Systems, Vol. 11 No. 1, January (1993)

    Google Scholar 

  11. Smythe, B., Keane, M., Cunningham, P.: Hierarchical Case-Based Reasoning Integrating Case-Based and Decompositional Problem-Solving Techniques for Plant-Control Software Design, In: IEEE Transactions on Knowledge and Data Engineering, Vol. 13, No 5, September/October (2001)

    Google Scholar 

  12. Teufel, Bernd: Informations spuren Zum Numerischen und Graphischen Vergleich Von Reduzierten Naturlichsprachlichen Texten, Informatik-Dissertationen ETH Zurich, NR. 13, (1989)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. CSIRO Mathematical and Information Sciences, PO Box 664, Canberra City Act, 2601, Australia

    Simon Kravis

  2. CSIRO Mathematical and Information Sciences, Locked Bag 17, North Ryde, NSW, 1670

    Rosemary Irrgang

Authors
  1. Simon Kravis
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Rosemary Irrgang
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Centre for Intelligent Systems and Complex Processes, Swinburne University of Technology, John Street, Hawthorn, Victoria, Australia, 3122

    Tim Hendtlass

  2. Department of Computer Science, Southwest Texas State University, 601 University Drive, San Marcos, TX, 78666, USA

    Moonis Ali

Rights and permissions

Reprints and permissions

Copyright information

© 2002 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Kravis, S., Irrgang, R. (2002). A Case Based System for Oil and Gas Well Design. In: Hendtlass, T., Ali, M. (eds) Developments in Applied Artificial Intelligence. IEA/AIE 2002. Lecture Notes in Computer Science(), vol 2358. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48035-8_59

Download citation

  • DOI: https://doi.org/10.1007/3-540-48035-8_59

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43781-9

  • Online ISBN: 978-3-540-48035-8

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation