In cable logging operations，accurately regulating the cable tension is crucial to ensure the safe arrival of the logging instruments at the wellbore bottom and accurate data acquisition. In order to precisely predict the change of cable tension during well logging，a well logging cable tension prediction system based on the hybrid model was designed，which combines the physical model with in-depth understanding of the mechanical nature of the logging process and the data-driven model SC-PBiGRU with advantages in data processing and analysis. The system was validated using a large number of well logging data. The system can keep the maximum error of the prediction results within 5% and deliver stable prediction accuracy under complex geological conditions and equipment status. It is a powerful tool to provide technical support for tension regulation in cable logging operations.