Advertisement

Improved Efficiency of Oil Well Drilling through Case Based Reasoning

  • Paal Skalle
  • Jostein Sveen
  • Agnar Aamodt
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1886)

Abstract

A system that applies a method of knowledge-intensive case-based reasoning, for repair and prevention of unwanted events in the domain of offshore oil well drilling, has been developed in cooperation with an oil company. From several reoccurring problems during oil well drilling the problem of “lost circulation”, i.e. loss of circulating drilling fluid into the geological formation was picked out as a pilot problem. An extensive general knowledge model was developed for the domain of oil well drilling. About fifty different cases were created on the basis of information from one North Sea operator. When the completed CBR-system was tested against a new case, five cases with descending similarity were selected by the tool. In an informal evaluation, the two best fitting cases proved to give the operator valuable advise on how to go about solving the new case.

Keywords

Drill String Domain Object Lost Circulation Drilling Engineer General Domain Knowledge 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Allen, B.R.: Case-based reasoning: Business applications. Communication of the ACM, 37(3) (1994) 40–44CrossRefGoogle Scholar
  2. 2.
    Auriol, 1999Google Scholar
  3. 3.
    Manago, 1998Google Scholar
  4. 4.
    Skalle, P., Aamodt, A. and Sveen, J.: Case-based reasoning, a method for gaining experience and giving advice on how to avoid and how to free stuck drill strings. Proc.., IADC Middle East Drilling Conference, Dubai (3. & 4. of Nov. 1998) 13 ppGoogle Scholar
  5. 5.
    Milheim, K.K. and Gaebler, T.: Virtual experience simulation for drilling — the concept. Paper SPE 52803 presented at SPE/IADC Drilling Conf., Amsterdam (9–11 March, 1999) 317–328Google Scholar
  6. 6.
    Minton, Jr. R.C. and Vik, R.: The Well Learning System — The evolution of a tool into a modern management system for drilling operations. Paper SPE 49112 presented at the 1998 SPE Ann. Tech. Conf. and Exhib., New Orleans (27–30 Sept., 1998) 525–534Google Scholar
  7. 7.
    McCann, 1998Google Scholar
  8. 8.
    Rojas, C.C., Fitzgerald, B.L., Modi, S. and Bzant, P.N.: Minimizing downhole mud losses. Paper SPE 39398 presented at the IADC/SPE Drilling Conf., Dallas (03–06 March, 1998) 871–877Google Scholar
  9. 9.
    Lietard, O., Ulvin, T., Guillot, D.J. and Hodder, M.H.: Fracture with logging while drilling and drilling mud/loss-circulation-material selection guidelines in naturally fractured reservoirs. SPE Drilling & Completion, 14(3), (Sept., 1999) 168–177CrossRefGoogle Scholar
  10. 10.
    Sinor, L.A., Tyberø, P. and Eide, O.: Rotary liner drilling for depleated reservoirs. Paper SPE 39399, presented at the 1998 IADC/SPE Drilling Conf., Dallas (03–06-March, 1998) 879–890Google Scholar
  11. 11.
    Sweatman, R., Faul, R. and Ballow, C.: New solutions for subsalt-well lost circulation and optimized primary cementing. Paper SPE 56499, presented at the 1999 SPE Ann Tech. Conf. and Exhib., Houston (03–06 Oct., 1999) 157–167Google Scholar
  12. 12.
    Aamodt, A.: Explanation — driven-case-based reasoning. Published in Topics in case-based reasoning, edited by S. Wess et al., Springer Verlag, Berlin Heidelberg New York (1994) 274–288Google Scholar
  13. 13.
    Aamodt, A and Plaza, E.: Case-based reasoning: Foundation issues, methodological variation, and system approaches. AICOM, Vol. 7, no. 1 (Mar. 1994) 39–59Google Scholar
  14. 14.
    Darley, C.C., Rogers, A.F. and Gray, C.C.: Composition and function of drilling fluids. 4 th ed. Gulf Publishing Co., 4 th edition, Houston (1988)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Paal Skalle
    • 1
  • Jostein Sveen
    • 2
  • Agnar Aamodt
    • 3
  1. 1.Dept. of Petroleum TechnologyNorwegian University of Science and TechnologyTrondheimNorway
  2. 2.Dept. of Safety and ReliabilitySINTEFTrondheimNorway
  3. 3.Dept. of Computer and Information ScienceNorwegian University of Science and TechnologyTrondheimNorway

Personalised recommendations