Yu An

Fault interpretation is critical in finding the presence of natural resources, like oil, gas, however, the manual label process is time-consuming. In the last decade, deep convolutional neural networks have successfully applied in multi-discipline and shown very high performance on various image processing tasks. Therefore, we purpose using deep convolution neural networks (e.g. Unet) to interpret faults from the perspective of image segmentation and edge detection.