The invention discloses a data processing method and a data processing system for mining well drilling, which belong to the field of well drilling data processing, are used for solving the problem of mining well drilling data preprocessing, and are used for determining the fluctuation level of data by calculating the change rate of stratum density and Poisson's ratio data and comparing the standard deviation with a set fluctuation threshold value. An interpolation method or a truncation method is flexibly selected to process data according to the fluctuation level, and data reliability and processing flexibility are ensured. Reliable signals are generated by comparing the response degree with a data reliable threshold value, the abnormal degree of measured data is evaluated, and accuracy and reliability are provided for geological exploration and drilling engineering. The classification capability of the features is judged according to the classification uncertainty index, the response degree is introduced for quality correction, finally, a feature set with high relevance and classification capability is obtained, and the accuracy and reliability of well drilling data analysis are improved.