Deep learning-based fault intelligent identification method and system

The invention relates to a fault intelligent identification method and system based on deep learning, and the method comprises the steps: generating a fault and a label corresponding to the fault according to input seismic data, constructing a fault sample library, and providing a training sample and a label thereof by the fault sample library; constructing a convolutional neural network based on image segmentation, and training the convolutional neural network by the training sample and the label to obtain a network model for performing intelligent detection on a fault in the three-dimensional seismic data; performing data standardization and data augmentation on parameters of the network model, selecting an optimized loss function, and improving the fault identification capability of the network model; and inputting real seismic data into the network model for prediction, evaluating a prediction result, and adjusting and perfecting a training sample. The method is higher in efficiency, more accurate in resu