The SEG Advanced Modeling Corporation has been a favorite topic of SEG journals, conferences, and Annual Meetings since its inception.
The story of SEAM as told at SEG Denver 2014.
Since the completion of the first SEAM project, the data sets generated have proven invaluable to advancing research in the study of geophysics. Now that SEAM data sets are available to the public, geoscientists and institutions everywhere can tap into this valuable resource for their own research needs.
Imaging of primaries and multiples with 3D SEAM synthetic
Lu, Whitmore, Valenciano, and Chemingui
RTM images from SEAM data show interesting features
Stork, Compton, and Heuermann
Improved RTM depth image with full waveform inversion
Bulcão, Filho, Catão, Moreira, Van den Berg, and Gisolf
Resolution analysis for full wavefield inversion and its application to time-lapse
Song, Baumstein, and Routh
Efficient parallel algorithms for Hierarchically SemiSeparable (HSS) matrices: Kernel of a massively parallel structured direct Helmholtz solver
Wang, Xia, Situ, de Hoop, and Li
Fast stochastic inversion of marine CSEM and seismic data with the Neighbourhood Algorithm
Fliedner, Treitel, Frenkel, and MacGregor
On the separation of simultaneous-source data by inversion
Ayeni, Almomin, and Nichols
Multiple attenuation challenges for a multivessel coil survey
Espinoza, Dragoset and Curtin
Green's theorem derived methods for preprocessing seismic data when the pressure P and its normal derivative are measured
Mayhan, Terenghi, Weglein and Chemingui
RTM angle gathers using Poynting vectors
Dickens and Winbow
Time-reversal methods for RTM and FWI
Anderson, Tan and Wang
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