Abstract: Establishing a reasonable PDC bit drilling rate model can predict drilling rate well, and thus provide the foundation for engineers to direct the drilling production. . Based on the Teale model, this paper comprehensively considers the energy parameters of downhole screw drilling tools, hydraulic rock breaking and rotary impact drilling tools, introduces the concepts of polycrystalline diamond compact (PDC) threshold weight on bit (WOB) and threshold torque, corrects the calculation methods of WOB and torque, and establishes the theoretical equation of drilling speed of composite specific energy. Based on the concept of drilling speed ratio, a prediction model of drilling speed based on deep fusion of theory and data is established, which not only ensures the correct theoretical direction, but also comprehensively utilizes the advantages of data-driven learning, and further improves the prediction accuracy of drilling speed. The prediction accuracy of the fusion method is verified by the actual drilling data in Shunbei, and the drilling speed can be greatly improved by the optimization analysis of the example. This method can provide an effective quantitative tool for optimizing drilling parameters, evaluating rock breaking effect of drill bit and optimizing speed-up tools, which has important application value.