Overcoming numerical dispersion of finite-difference wave extrapolation using deep learning

[1]  Nanxun Dai,et al.  Solutions to numerical dispersion error of time FD in RTM , 2014 .

[2]  Yang Liu,et al.  A new time-space domain high-order finite-difference method for the acoustic wave equation , 2009, J. Comput. Phys..

[3]  Sverre Brandsberg-Dahl,et al.  The Pseudo-analytical Method: Application of Pseudo-Laplacians to Acoustic And Acoustic Anisotropic Wave Propagation , 2009 .

[4]  F. Andersson,et al.  Eliminating time dispersion from seismic wave modeling , 2018 .

[5]  Lexing Ying,et al.  Lowrank finite-differences and lowrank Fourier finite-differences for seismic wave extrapolation in the acoustic approximation , 2013 .

[6]  Lexing Ying,et al.  Low-rank one-step wave extrapolation for reverse time migration , 2016 .

[7]  G. Margrave,et al.  Phase-shift time-stepping for reverse-time migration: the Marmousi data experience , 2008 .

[8]  R. Fletcher,et al.  Recursive integral time-extrapolation methods for waves: A comparative review , 2014 .

[9]  Paul Sava,et al.  Madagascar: open-source software project for multidimensional data analysis and reproducible computational experiments , 2013 .

[10]  C. Stork,et al.  Eliminating Nearly All Dispersion Error from FD Modeling and RTM with Minimal Cost Increase , 2013 .

[11]  Chunlei Chu Compensating For Time Stepping Errors Locally In the Pseudo-analytical Method Using Normalized Pseudo Laplacian , 2011 .

[12]  R. Clapp,et al.  Equivalent accuracy at a fraction of the cost: Overcoming temporal dispersion , 2016 .

[13]  Lexing Ying,et al.  Seismic wave extrapolation using lowrank symbol approximation , 2013 .

[14]  Mrinal K. Sen,et al.  Acoustic VTI modeling with a time-space domain dispersion-relation-based finite-difference scheme , 2010 .