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- W3204273085 abstract "Unforeseen problems happen in drilling because these events are not fully predictable, which could be due to lack of sufficient data or improper modeling to simulate real conditions in the drilling process. Traditional mathematical models have not totally eliminated oil well problems because of the many simplifications, uncertainties, and incomplete information involved. This chapter proposes a new approach for overcoming these challenges. The main objective is to merge two scientific fields, case-based reasoning (CBR) and petroleum engineering, to implement a new methodology. This chapter focuses on the theoretical concepts related to the CBR method and the rule-based reasoning method, and the integration of the methods into digital well planning and construction. The success of the CBR system depends on the quality of the case data. The data quality is related to case base competence which is measured by the range of problems that can be satisfactorily solved. Modeling case base competence is a much-discussed issue in the discipline of CBR." @default.
- W3204273085 created "2021-10-11" @default.
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- W3204273085 date "2022-01-01" @default.
- W3204273085 modified "2023-09-24" @default.
- W3204273085 title "Case-based reasoning (CBR) in digital well planning and construction" @default.
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- W3204273085 doi "https://doi.org/10.1016/b978-0-323-90231-1.00003-0" @default.
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