The correlation analysis of the multi-source and heterogeneous data based on drilling information of the layered formation

In order to effectively identify the geological information of the layered formation, the drilling information obtained from the independent drilling test-bed was analyzed and aligned through the information fusion technology, and the heterogeneous data was constructed. The corresponding relationship between the drilling information of the drilling rigs and the layered formation characteristics was established by using data mining method, and the combination of the sensitive drilling parameters was screened. The relationship between various drilling parameters was analyzed by principal component analysis, and the output analysis model of the typical layered formation characteristics was established. The characteristic roots and eigenvectors of each principal component were calculated. The appropriate principal component was selected according to the cumulative contribution rate greater than 90%. The original drilling parameter information could be analyzed by calculating the comprehensive score. The results show that the optimization method is reasonable and feasible, which lays a foundation for the real-time and accurate identification of the characteristics of the coal and rock while drilling.