Research on Intelligent Recognition Technology in Lithology Based on Multi- parameter Fusion of Logging While Drilling
Haibo Liang,
Jiaguo Xiong,
Yi Yang
et al.
Abstract:In oil and gas drilling, timely and accurate identification of formation lithology is an important guarantee of drilling safety. Aiming at the problems of inaccurate identification of lithology in drilling by traditional methods, and low efficiency due to the fact that even modern instruments cannot respond to lithology in real time. the Categorical Boost (CatBoost) model was applied to lithology identification in this study. However, since CatBoost uses more hyperparameters in its modeling, it is difficult to… Show more
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