Advances and new directions in seismic imaging and inversionMS67

Seismic data are inverted to estimate subsurface model parameters. We would like to address current challenges and directions in seismic data inversion and parameter estimation. Questions to address include inversion of non-ideal data, the influence of parametrization on the retrieval of velocity models, inversion of data in the absence of frequencies, and estimation methods for models with sharp discontinuities. Issues to discuss in this mini-symposium are of current importance. With the advent of algorithms for seismic full-waveform inversion, new problems have arisen, and a definite necessity for formulating new directions in seismic inversion and geophysical estimation theory.

Comet interior imaging using radar tomography.
Paul Sava (Colorado School of Mines)
Seismic image matching
Sergey Fomel (University of Texas, Austin)
Data-to-Born transform for inversion and imaging with seismic waves
Alexander Mamonov (University of Houston)
Direct waveform inversion (DWI) by explicit time-space causality
Yingcai Zheng (University of Houston)
Efficient estimates of uncertainty in time-lapse seismic imaging
Maria Kotsi (Memorial University of Newfoundland)
Experiments in bandwidth extension
Laurent Demanet (MIT )
Imaging complex near surface using noisy and narrow band surface wave data
Farbod Khosro Anjom (Politecnico di Torino)
Multi-domain target-oriented imaging using extreme-scale matrix factorization
Felix J. Herrmann (Georgia Institute of Technology)
Multi-parameter full-waveform inversion: the influence of the parameterization
Ettore Biondi (Stanford University)
Retrieving full-wavefields within the medium from incomplete, one-sided data
Ivan Vasconcelos (Dept. of Earth Sciences, Utrecht University )
Salt Geometry Reconstruction in Seismic Imaging
Ajinkya Kadu (Utrecht University )
Edge preserving filter for full waveform inversion
Mauricio Sacchi (University of Alberta)
Laurent Demanet (MIT )
Sergey Fomel (University of Texas, Austin)
Mauricio Sacchi (University of Alberta)
full-waveform inversion, geophysical imaging, inverse problems, inverse problems, non-linear optimization, regularization methods, seismic imaging