Fast nonlinear uncertainty quantification for velocity model building and imaging
Author:
Affiliation:
1. Massachusetts Institute of Technology
2. Memorial University of Newfoundland
Publisher
Society of Exploration Geophysicists
Link
https://library.seg.org/doi/pdf/10.1190/segam2017-17731484.1
Reference15 articles.
1. Handbook of Markov Chain Monte Carlo
2. Bayesian Strategies to Assess Uncertainty in Velocity Models
3. Estimating a starting model for full-waveform inversion using a global optimization method
4. Ely, G., A. Malcolm, and D. Nicholls, 2015, Combining global optimization and boundary integral methods to robustly estimate subsurface velocity models: 85th Annual International Meeting, SEG, Expanded Abstracts, 3729–3733, 10.1190/segam2015-5918749.1.
5. Kirchhoff?Helmholtz reflection seismograms in a laterally inhomogeneous multi-layered elastic medium ? I. Theory
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