SINBAD Fall 2013 Presentations
SINBAD 2013 Presentations
Monday, December 2
FWI & WEMVA
1) Frugal FWI
2) Relaxing the physics: A penalty method for full-waveform inversion
3) Examples from the Penalty-method
4) Extended images in action: efficient WEMVA via randomized probing
5) Parallel 3D FWI with simultaneous shots
6) Phase-residual based quality-control methods and techniques for mitigating cycle skips
FWI & case studies
7) Reflection FWI with a poor starting model
8) Lessons learned from Chevron Gulf of Mexico data set
9) SLIM's findings on the Machar dataset
10) Model-space versus data-space FWI with the acoustic wave equation
11) Uncertainty analysis for FWI
Wave-equation based linearized inversion
12) Fast imaging with multiples and source estimation
13) Imaging with hierarchical semi separable matrices
14) Fast imaging via depth stepping with the two-way wave equation
15) Extended images in action: efficient AVA via probing
Tuesday, December 3
Seismic data acquisition & multiples
16) Time-jittered marine sources
17) Estimating 4D differences in time-lapse using randomized sampling techniques
18) Bootstrapping Robust EPSI with coarsely sampled data
19) Using prior support information in approximate message passing algorithms
Seismic wavefield recovery via matrix/tensor completions
20) Wavefield reconstruction with SVD-free low-rank matrix factorization
21) Structured tensor formats for missing-trace interpolation and beyond
22) Matrix and tensor completion for large-scale seismic interpolation: a comparative study
Large-scale (convex) optimization
23) The proximal-proximal gradient algorithm
24) Putting the curvature back into sparse solvers
25) A dual approach to PhaseLift via gauge programming and bundle methods
26) Taming time through tangents
Compressive sensing
27) The bridge from orthogonal to redundant transforms and weighted ℓ1 optimization
28) Applications of phase retrieval methods to blind seismic deconvolution
29) Noise reduction by using interferometric measurements
30) Compressed sensing, recovery of signals using random Turbo matrices
Wednesday, December 4
Forward modeling & computational aspects
31) Krylov solvers in frequency domain FWI
32) Accelerating an iterative Helmholtz solver with FPGAs
33) Solving the data-augmented wave equation
34) Swift FWI