A gradient‐based Markov chain Monte Carlo algorithm for elastic pre‐stack inversion with data and model space reduction
Author:
Affiliation:
1. Earth Sciences Department University of Pisa via S. Maria 53 Pisa 56126 Italy
Publisher
Wiley
Subject
Geochemistry and Petrology,Geophysics
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/1365-2478.13081
Reference42 articles.
1. Hamiltonian Monte Carlo algorithms for target- and interval-oriented amplitude versus angle inversions
2. Combining discrete cosine transform and convolutional neural networks to speed up the Hamiltonian Monte Carlo inversion of pre‐stack seismic data
3. Discrete cosine transform for parameter space reduction in linear and non-linear AVA inversions
4. Using orthogonal Legendre polynomials to parameterize global geophysical optimizations: Applications to seismic-petrophysical inversion and 1D elastic full-waveform inversion
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