Comparative study on the application of machine learning algorithms in lithology identification
The analysis of while-drilling measurement data and lithology analysis based on algorithms is one of the important research directions in digital drilling technology.Using portable electric-driven digital drilling equipment for while-drilling measurement,this paper collects while-drilling measurement parameters and rock physical and me-chanical property data.Ten common machine learning algorithms for lithology identification are employed for compar-ative training.Through this comparison,the top five algorithms with the best performance are selected for precise pa-rameter tuning and optimization.The results indicate that the random forest algorithm achieves an accuracy rate of up to 95%in lithology identification,significantly enhancing the precision and efficiency of the identification process.
digital drilling equipmentwhile-drilling measurementlithology identificationmachine learning algorithm
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