Skip to main content

Determining Root Causes of Drilling Problems by Combining Cases and General Knowledge

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5650))

Abstract

Oil well drilling is a complex process which frequently leads to operational problems. In order to deal with some of these problems, knowledge intensive case based reasoning (KiCBR) has clearly shown potential. An important problem in oil well drilling is hole cleaning, in which a high number of observed parameters and other features are involved. This paper presents how to determine the root causes of poor hole cleaning episodes by means of KiCBR. This will help the drilling crew to apply a proper remedy. The effect of general domain knowledge was demonstrated in a comparative study, in which improved results in terms of similarity assessment and explanation capability were achieved.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Datta, B.K., Ratnayake, C., Saasen, A., Omland, T.H.: Hole Cleaning and Pressure-Loss Prediction From a Bulk Transport Perspective. Paper SPE 96315 presented at Offshore Europe, 6-9, September 2005, Aberdeen, United Kingdom (2005)

    Google Scholar 

  2. Skalle, P., Sveen, J., Aamodt, A.: Improved Efficiency of Oil Well Drilling through Case-Based Reasoning. In: Mizoguchi, R., Slaney, J.K. (eds.) PRICAI 2000. LNCS, vol. 1886. Springer, Heidelberg (2000)

    Chapter  Google Scholar 

  3. Mendes, J.R.P., Morooka, C.K., Guilherme, I.R.: Case-based reasoning in offshore well design. Journal of Petroleum Science and Engineering 40, 47–60 (2003)

    Article  Google Scholar 

  4. Popa, A., Popa, C., Malamma, M., Hicks, J.: Case-based reasoningapproach for well failluer diagnostics and planning. SPE paper 114 229, presented at the 2008 SPE Western Regiounal and Pacific Section AAPG Joint Mtg, Bakersfield, March 31- April 2 (2008)

    Google Scholar 

  5. Abdollahi, J., Carlsen, I.M., Randhol, P., Tenold, E., Haga, H.B., Jakobsen, T.: A Case-Based Approach to Understand the Complexity of Causal Connections Related to Well Integrity Problems. In: IADC/SPE 111129, Presented at the 2008 IADC/SPE Drilling Conference held in Orlando, Florida, U.S.A., March 4–6 (2008)

    Google Scholar 

  6. Yu, M., Takach, N.E., Nakamura, D.R., Shariff, M.M.: An experimental study of hole cleaning under simulated downhole conditions. In: Paper SPE 109840 presented at SPE Annual Technical Conference and Exhibition, Anaheim, California, November 11-14 (2007)

    Google Scholar 

  7. Lapierre, S., Courville, G., Song, J.: Achieving Technical Limits: Expanded Application of Real-Time Pressure-While-Drilling Data Helps Optimize ROP and Hole Cleaning in Large-Diameter, Directional Intervals. In: Paper SPE 99142-MS presented at IADC/SPE Drilling Conference, Miami, February 21-23 (2006)

    Google Scholar 

  8. Adari, R.B., Miska, S., Kuru, E., Bern, P.: Selecting Drilling Fluid Properties and Flow Rates For Effective Hole Cleaning in High-Angle and Horizontal Wells. In: Paper SPE 63050-MS presented at SPE Annual Technical Conference and Exhibition, Dallas, October 1-4 (2000)

    Google Scholar 

  9. Sanchez, R.A., Azar, J.J., Bassal, A.A., Martins, A.L.: Effect of Drillpipe Rotation on Hole Cleaning During Directional-Well Drilling. SPE Journal 4(2), 101–108 (1999)

    Article  Google Scholar 

  10. Charlez, P.A.: Rock Mechanics: Petroleum Applications, p. 661. Editions Technip. (1997)

    Google Scholar 

  11. Peden, J.M., Ford, J.T., Oyeneyin, M.B.: Comprehensive Experimental Investigation of Drilled Cuttings Transport in Inclined Wells Including the Effects of Rotation and Eccentricity. In: Paper SPE 20925-MS presented at European Petroleum Conference, The Hague, October 21-24 (1990)

    Google Scholar 

  12. Aamodt, A., Plaza, E.: Case-Based Reasoning: Fundamental Issues, Methodological Variations, and System Approaches. Artificial Intelligence Communications 7(1), 39–59 (1994)

    Google Scholar 

  13. Sørmo, F., Aamodt, A.: Knowledge elaboration for improved CBR. In: Sixteenth International Joint Conference on Artificial Intelligence, Workshop ML-5: Automating the Construction of Case-Based Reasoners, Stockholm, pp. 39–43 (1999)

    Google Scholar 

  14. Aamodt, A.: Knowledge-Intensive Case-Based Reasoning in CREEK. In: Funk, P., González Calero, P.A. (eds.) ECCBR 2004. LNCS, vol. 3155, pp. 1–15. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Shokouhi, S.V., Aamodt, A., Skalle, P., Sørmo, F. (2009). Determining Root Causes of Drilling Problems by Combining Cases and General Knowledge. In: McGinty, L., Wilson, D.C. (eds) Case-Based Reasoning Research and Development. ICCBR 2009. Lecture Notes in Computer Science(), vol 5650. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02998-1_36

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-02998-1_36

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02997-4

  • Online ISBN: 978-3-642-02998-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics