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Generating Geological Facies Models with Fidelity to Diversity and Statistics of Training Images using Improved Generative Adversarial Networks
The resulting samples are ensured to have the equal probability (or an unbiased distribution) as from the training dataset.
Sparse-promoting Full Waveform Inversion based on Online Orthonormal Dictionary Learning
It has been attacked successfully with the Gauss-Newton method and sparsity promoting regularization based on fixed multiscale transforms that permit significant subsampling of the seismic data when the model perturbation at each FWI data-fitting iteration can be represented with sparse coefficients.
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