Seismic processing with deep convolutional neural networks: opportunities and challenges

Deep convolutional neural networks (DCNNs) are growing their popularity in seismic data processing due to their previous achievements in signal and image processing. In this paper, we explore the link between DCNN and seismic processing. We use two examples to demonstrate the potential of the application of DCNNs to seismic processing. More importantly, we discuss challenges and issues to solve before deploying DCNNs to production, and suggest some directions of study.