Transfer learning in large-scale ocean bottom seismic wavefield reconstruction
Transfer learning in large-scale ocean bottom seismic wavefield reconstruction
Achieving desirable receiver sampling in ocean bottom acquisition is often not possible because of cost considerations. Assuming adequate source sampling is available, which is achievable by virtue of reciprocity and the use of modern randomized (simultaneous-source) marine acquisition technology, we are in a position to train convolutional neural networks (CNNs) …