Uncertainty estimation in impedance inversion using Bayesian deep learning
Author:
Affiliation:
1. Hanyang University
Publisher
Society of Exploration Geophysicists
Link
https://library.seg.org/doi/pdf/10.1190/segam2020-3428098.1
Reference20 articles.
1. Alfarraj, M., and G. AlRegib, 2018, Petrophysical property estimation from seismic data using recurrent neural networks: 88th Annual International Meeting, SEG, Expanded Abstracts, 2141–2146, doi: 10.1190/segam2018-2995752.1.
2. Alfarraj, M., and G. AlRegib, 2019, Semi-supervised learning for acoustic impedance inversion: 89th Annual International Meeting, SEG, Expanded Abstracts, 2298–2302, doi: 10.1190/segam2019-3215902.1.
3. Prestack and poststack inversion using a physics-guided convolutional neural network
4. Das, V., A. Pollack, U. Wollner, and T. Mukerji, 2018, Convolutional neural network for seismic impedance inversion: 88th Annual International Meeting, SEG, Expanded Abstracts, 2071–2075, doi: 10.1190/segam2018-2994378.1.
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