The invention provides a seismic horizon identification and tracking method and system. The method comprises logging data and actual seismic data are processed to obtain a training data set and tag data; a pre-established multi-scale time series deep learning model is trained through utilizing the training data set and the tag data; the trained multi-scale deep learning model is utilized for automatic horizon tracking, seismic data interpretation is performed through utilizing the multi-scale time series deep learning model based on the expanded convolutional neural network and the time-seriesrecurrent neural network, the method adapts to the position where the seismic horizon property changes rapidly, and accuracy of the result is greatly improved.