An architecture for multi-dimensional temporal abstraction supporting decision making in oil-well drilling

Smart Innovation, Systems and Technologies

Volumn 23, Issue , 2013, Pages 21-40

  Gundersen, Odd Erik ^a,b   Sørmo, Frode ^a  

^a Verdande Technology AS Trondheim   (Norway)

^b NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Norway)

Author keywords

Case based reasoning; Integrated decision support; Oil will drilling; Real data stream

Indexed keywords

COMMERCIAL DEPLOYMENT; CURRENT SITUATION; DATA STREAM; INTEGRATED DECISION; ONLINE DECISIONS; REAL-DATA STREAM; SITE MEASUREMENTS; TEMPORAL ABSTRACTION;

ABSTRACTING; ARTIFICIAL INTELLIGENCE; DATA COMMUNICATION SYSTEMS; DECISION SUPPORT SYSTEMS; OIL WELLS; WELL DRILLING;

CASE BASED REASONING;

EID: 84883305653     PISSN: 21903018     EISSN: 21903026     Source Type: Book Series    
DOI: 10.1007/978-3-642-36651-2_2     Document Type: Conference Paper

References (23)

1. Aamodt, A.: Knowledge-intensive case-based reasoning in CREEK. In: Funk, P., González-Calero, P. (eds.) ECCBR, Lecture Notes in Computer Science, vol. 3155, pp. 1-15. Springer (2004)
2. Aamodt, A., Plaza, P.: Case-based reasoning: foundational issues, methodological variations, and system approaches. AI Commun. 7(1), 39-59 (1994)
3. Barbosa, R., Belo, O.: An agent task force for stock trading. In: Demazeau, Y., Pechoucek, M., Corchado, J.M., Pérez, J.B. (eds.) PAAMS, Advances in Intelligent and Soft Computing, vol. 88, pp. 287-297. Springer (2011)
4. Barbosa, R.P., Belo, O.: Autonomous forex trading agents. In: Perner, P. (ed.) ICDM, Lecture Notes in Computer Science, vol. 5077, pp. 389-403. Springer (2008)
5. Booth, J.: Real-time drilling operations centers: a history of functionality and organizational purpose-the second generation. SPE Drill. Compl. 26(2), 295-302 (2011)
6. Catley, C., Stratti, H., McGregor, C.: Multi-dimensional temporal abstraction and data mining of medical time series data: trends and challenges. In: Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE, pp. 4322-4325 (2008)
7. Corkill, D.D.: Collaborating software: blackboard and multi-agent systems and the future. In: Proceedings of the International Lisp Conference. New York (2003)
8. Deeks, N.T.H.: WITSML changing the face of real-time. In: Intelligent Energy Conference and Exhibition (2008)
9. Endsley, M.R.: Toward a theory of situation awareness in dynamic systems. Hum. Factors J. Hum. Factors Ergon. Soc. 37, 32-64(33) (1995)
10. Finin, T., Fritzson, R., McKay, D., McEntire, R.: KQML as an agent communication language. In: Proceedings of the Third International Conference on Information and Knowledge Management. CIKM'94, pp. 456-463, ACM, New York, NY, USA (1994), http://doi.acm.org/10.1145/191246.191322
11. Hughes, B.: Baker Hughes investor relations: overview and FAQ. http://investor.shareholder.com/bhi/rig_counts/rc_index.cfm (2012)
12. Lesser, V.R.: Reflections on the nature of multi-agent coordination and its implications for an agent architecture. Auton. Agent. Multi-Agent Syst. 1, 89-111 (1998)
13. McGregor, C., Schiefer, J.: A web-service based framework for analyzing and measuring business performance. Inf. Syst. E-Bus. Manage. 2(1), 89-110 (2004)
14. Montani, S., Bottrighi, A., Leonardi, G., Portinale, L.: A CBR-based, closed-loop architecture for temporal abstractions configuration. Comput. Intell. 25(3), 235-249 (2009)
15. Nwana, H.S.: Software agents: an overview. Knowl. Eng. Rev. 11, 1-40 (1996)
16. O'Brien, P.D., Nicol, R.C.: FIPA-towards a standard for software agents. BT Technol. J. 16, 51-59 (1998)
17. Portinale, L., Montani, S., Bottrighi, A., Leonardi, G., Juárez, J.M.: A case-based architecture for temporal abstraction configuration and processing. In: ICTAI IEEE Computer Society, pp. 667-676 (2006)
18. Richter, M.: Similarity. In: Perner, P. (ed.) Case-Based Reasoning on Images and Signals, Studies in Computational Intelligence, vol. 73, pp. 25-90. Springer (2008)
19. Stacey, M., McGregor, C., Tracy, M.: An architecture for multi-dimensional temporal abstraction and its application to support neonatal intensive care. In: Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE, pp. 3752-3756 (2007)
20. Stein, A., Musen, M.A., Shahar, Y.: Knowledge acquisition for temporal abstraction. In: Proceedings of AMIA Annual Fall Symposium. CIKM'94, pp. 204-208. ACM, New York, NY, USA (1996)
21. Strøm, S., Balov, M.K., Kjørholt, H., Gaasø, R., Vefring, E., Rommetveit, R.: The future drilling scenario. In: Offshore Technology Conference. CIKM'94, pp. 204-208. ACM, New York, NY, USA (2008)
22. van Oort, E., Brady, K.: Case-based reasoning system predicts twist-off in Louisiana well based on mideast analog. World Oil (2011)
23. van Oort, E., Griffith, J., Shneider, B.: How to accelerate drilling learning curves. In: SPE/ IADC Drilling Conference and Exhibition (2011)