The potential of self-supervised networks for random noise suppression in seismic data

15 September 2021

Papers citing "The potential of self-supervised networks for random noise suppression in seismic data"

6 / 6 papers shown

Title
Explainable Artificial Intelligence driven mask design for self-supervised seismic denoising C. Birnie M. Ravasi 8 8 0 13 Jul 2023
DAS-N2N: Machine learning Distributed Acoustic Sensing (DAS) signal denoising without clean data S. Lapins A. Butcher Jeffrey M. Kendall T. Hudson A. Stork M. Werner Jemma Gunning A. Brisbourne 20 6 0 17 Apr 2023
Transfer learning for self-supervised, blind-spot seismic denoising C. Birnie T. Alkhalifah OOD 25 17 0 25 Sep 2022
A hybrid approach to seismic deblending: when physics meets self-supervision N. Luiken M. Ravasi C. Birnie 13 5 0 30 May 2022
StorSeismic: A new paradigm in deep learning for seismic processing R. Harsuko T. Alkhalifah 16 35 0 30 Apr 2022
MLReal: Bridging the gap between training on synthetic data and real data applications in machine learning T. Alkhalifah Hanchen Wang O. Ovcharenko OOD 36 63 0 11 Sep 2021