Oil well drilling operation is a complex process, in which there are always new lessons learned during drilling operation. Casebased reasoning (CBR) is an approach to problem solving that recalls previous experiences. Whenever the process is running smoothly, or is failing, the experiences gained during such episodes are valuable and should be stored for later re-use. This paper presents a methodology for automatic case building and case discrimination to obtain a robust case-based reasoning and learning system. To achieve this, a platform that integrates cases with general domain knowledge was used and employed in the oil well drilling domain. The implemented system showed the efficiency of the methodology for capturing and reusing previous experiences.
KEY WORDSCase-based reasoning, oil well drilling, knowledge discovery
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.
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