Parametric elastic full waveform inversion with convolutional neural network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geophysics
Link
https://link.springer.com/content/pdf/10.1007/s11600-023-01123-3.pdf
Reference41 articles.
1. Baumstein A (2014) Extended subspace method for attenuation of crosstalk in multi-parameter full wavefield inversion In: Proceedings 2014 SEG annual meeting 2014, All days: SEG-2014–0546.
2. Billette FJ, and Brandsberg-Dahl S (2005) The 2004 BP velocity benchmark In: Extended abstracts https://doi.org/10.3997/2214-4609-pdb.1.B035.
3. Bishop CM (2006) Pattern recognition and machine learning (information science and statistics). Springer, New York
4. Borisov D, Singh SC (2015) Three-dimensional elastic full waveform inversion in a marine environment using multicomponent ocean-bottom cables: a synthetic study. Geophys J Int 201(3):1215–1234. https://doi.org/10.1093/gji/ggv048
5. Brenders AJ, Albertin U and Mika J (2012) Comparison of 3-D time-and frequency-domain waveform inversion: Benefits and insights of a broadband, discrete-frequency strategy In: Proceedings 2012 SEG annual meeting, OnePetro.
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1. Deep-learning optimization using the gradient of a custom objective function: A full-waveform inversion example study on the convolutional objective function;GEOPHYSICS;2024-09-01
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