In the circumstance of the real business process changing constantly， the original business process model needs to be repaired to better represent the real business process. The key step of model repair is to analyze the deviation between the real log and the model. However， the current methods to find the deviation mainly use the alignment repetition technique， and do not quantitatively analyze the abstract structure from the perspective of behavior. Therefore， a method of analyzing deviation between log and model by behavioral profile was proposed， and based on the above， a model repair method was further proposed on the basis of logical Petri nets. Firstly， based on the behavioral profile， the compliance between the log and the model was calculated to identify the deviation trace. Secondly， the logic transitions were selected from deviant activities through the deviant triple set in the deviation trace. Finally， the logic function was set based on the logic transitions， and the original model was repaired by adding new branches or reconstructing new structures. The fitness and precision of the repair models were verified. Simulation results show that when the all finesses are 1， the repair model obtained by the proposed repair method has higher precision compared with Fahland method and Goldratt method， on the basis of maintaining the similarity between the repair model and original model as much as possible.