Abstract
This overview of different applications of CBR in petroleum engineering is based on a survey and comparative evaluation of different successful applications of CBR. The number of papers and research groups is indicative of importance, need, and growth of CBR in different industries. Application-oriented research in the area of case based reasoning has moved mature research results into practical applications. In this paper we present the evolving story of CBR applied in petroleum engineering especially in drilling engineering. Drilling engineering contains several potential domains of interest, in which CBR can be employed successfully.
Chapter PDF
Similar content being viewed by others
References
Aamodt, A., Plaza, E.: Case-Based Reasoning: Fundamental Issues, Methodological Variations, and System Approaches. Artificial Intelligence Communications 7(1), 39–59 (1994)
Marling, C., Rissland, E., Aamodt, A.: Integrations with case-based reasoning. Knowledge Engineering Review 20(03), 241–245 (2005)
Kolodner, J.: Case-Based Reasoning. Morgan Kaufmann Publishers Inc., San Francisco (1993)
Koton, P.: Reasoning about evidence in causal explanations. In: Proceedings of the Seventh National Conference on Artificial Intelligence (AAAI 1988), pp. 256–261. AAAI Press, Menlo Park (1988)
Abel, M., Reategui, E.B., Castilho, J.M.V.: Using Case-Based Reasoning In A System That Supports Petrographic Analysis. In: Artificial Intelligence in the Petroleum Industry: Symbolic and Computational Applications II, ch. 7 (1996)
Aamodt, A.: Knowledge-Intensive Case-Based Reasoning in CREEK. In: Funk, P., González Calero, P.A. (eds.) ECCBR 2004. LNCS (LNAI), vol. 3155, pp. 1–15. Springer, Heidelberg (2004)
Schank, R.C., Abelson, R.P.: Scripts, Plans, Goals and Understanding. Erlbaum, Hillsdale (1977)
Mark, W.S.: Case-Based Reasoning for Autoclave Management. In: Proceedings of the Case-Based Reasoning Workshop (1989)
Watson, I., Marir, F.: Case-Based Reasoning: A Review. The Knowledge Engineering Review 9(4), 355–381 (1994)
Irrgang, R., Damski, C., Kravis, S., Maidla, E., Millheim, K.: A Case-Based System to Cut Drilling Costs. In: SPE 56504, Presented at the SPE Annual Technical Conference and Exhibition Held in Houston, Texas (1999)
Kravis, S., Irrgang, R.: A Case Based System for Oil and Gas Well Design with Risk Assessment. Applied Intelligence 23(1), 39–53 (2005)
Mendes, J.R.P., Guilherme, I.R., Morooka, C.K.: Case-based system: indexing and retrieval with fuzzy hypercube. In: Joint 9th IFSA World Congress and 20th NAFIPS International Conference, Vancouver, vol. 7 (2001)
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)
Morooka, C.K., Guilhermeb, I.R., Mendesa, J.R.P.: Development of intelligent systems for well drilling and petroleum production. Journal of Petroleum Science and Engineering 32(2-4), 191–199 (2001)
Skalle, P., Aamodt, A., Sveen, J.: Case-Based Reasoning, a method for gaining experience and giving advise on how to avoid and how to free stuck drill strings. In: Proceedings of IADC Middle East Drilling Conference, Dubai (November 1998)
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)
Skalle, P., Aamodt, A.: Knowledge-based Decision Support in Oil Well Drilling. In: Proceedings of the ICIIP, International Conference on Intelligent Information Systems, Beijing, October 21-23 (2004)
Shokouhi, S.V., Aamodt, A., Skalle, P., Sørmo, F.: Determining Root Causes of Drilling Problems by Combining Cases and General Knowledge. In: McGinty, L., Wilson, D.C. (eds.) ICCBR 2009. LNCS, vol. 5650, pp. 509–523. Springer, Heidelberg (2009); ISSN-0302-9743
Shokouhi, S.V., Aamodt, A., Skalle, P., Sørmo, F.: Comparing Two Types of Knowledge-Intensive CBR for Optimized Oil Well Drilling. In: Proceedings of the 4th Indian International Conference on Artificial Intelligence (IICAI 2009), Tumkur, India, December16-18, pp. 722–737 (2009)
Millheim, K.K., Gaebler, T.: Virtual Experience Simulation for Drilling - The Concept. In: 52803-MS, SPE/IADC Drilling Conference, Amsterdam, March 9-11 (1999)
Kravis, S., Irrgang, R., Phatak, A., Martins, A., Nakagawa, E.: Drilling Parameter Selection for Well Quality Enhancement in Deepwater Environments. In: SPE 77358-MS, SPE Annual Technical Conference and Exhibition, San Antonio, September 29 - October 2 (2002)
Perry, P.B., Curry, D.A., Kerridge, J.D., Lawton, J., Bowden, D., Flett, A.N.: A Case Based Knowledge Repository for Drilling Optimization. In: IADC/SPE Asia Pacific Drilling Technology Conference and Exhibition, Malaysia, September 13-15 (2004)
Popa, A., Popa, C., Malamma, M., Hicks, J.: Case-Based Reasoning Approach for Well Failure Diagnostics and Planning. In: SPE 114229-MS, SPE Western Regional and Pacific Section AAPG Joint Meeting, Bakersfield, California, USA, March 29 - April 2 (2008)
Shokouhi, S.V., Skalle, P.: Enhancing Decision Making in Critical Drilling Operations. Paper SPE 120290, Prepared for Presentation at the SPE Middle East Oil & Gas Show and Conference Held in the Bahrain, March 15-18 (2009)
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-MS, Presented at the IADC/SPE Drilling Conference, Orlando, Florida, USA, March 4-6 (2008)
Shokouhi, S.V., Aamodt, A., Skalle, P.: A Semi-Automatic Method for Case Acquisition in CBR, A Study in Oil Well Drilling. In: Proceedings of the Tenth IASTED International Conference on Artificial Intelligence and Applications, AIA-2010, Innsbruck, Austria, February 15-17, pp. 263–270. ACTA Press (2010)
Shokouhi, S.V., Aamodt, A., Skalle, P., Sørmo, F.: Integration of Real-Time Data and Past Experiences for Reducing Operational Problems. In: IPTC 13969, Proceedings of the International Petroleum Technology Conference held in Doha, Qatar, December 7-9 (2009)
Bhushan, V., Hopkinson, S.C.: A Novel Approach to Identify Reservoir Analogues. In: European Petroleum Conference, Aberdeen, United Kingdom, October 29-31 (2002)
Sinha, S., Yan, M., Jalali, Y.: A Methodology for Integrated Well Planning. In: SPE 85315-MS, SPE/IADC Middle East Drilling Technology Conference and Exhibition, Abu Dhabi, United Arab Emirates, October 20-22 (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 IFIP International Federation for Information Processing
About this paper
Cite this paper
Valipour Shokouhi, S., Aamodt, A., Skalle, P. (2010). Applications of CBR in Oil Well Drilling: A General Overview. In: Shi, Z., Vadera, S., Aamodt, A., Leake, D. (eds) Intelligent Information Processing V. IIP 2010. IFIP Advances in Information and Communication Technology, vol 340. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16327-2_15
Download citation
DOI: https://doi.org/10.1007/978-3-642-16327-2_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16326-5
Online ISBN: 978-3-642-16327-2
eBook Packages: Computer ScienceComputer Science (R0)