A Deep Learning Method for Denoising Based on a Fast and Flexible Convolutional Neural Network
Seismic data denoising has always been an indispensable step in the seismic exploration workflow. The quality of the results directly affects the results of subsequent inversion and migration imaging.
Seismic data denoising has always been an indispensable step in the seismic exploration workflow. The quality of the results directly affects the results of subsequent inversion and migration imaging.
quality, migration imaging, indispensable step, Seismic data denoising, seismic exploration workflow, results of subsequent inversion
