Abstract
In the view of the complex influence factor, simplified research method and structural or partial structural application model a drilling parameter selection optimization method based on case-based reasoning is provided in this paper. The goal of the research is to build up a drilling parameter selection optimization method which has great applicability. Based on the field drilling data and parameters a case base is built up. Afterward data discovery is used to deal with the case selection problem and select case from case base. Combining with field situation, drilling parameters selection is optimized and drilling speed could be predicted.
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