next up previous [pdf]

Next: INTRODUCTION Up: Reproducible Documents

Published as Geophysical Prospecting, 61, 526-536 (2013)

Seismic wave extrapolation using lowrank symbol approximation

Sergey Fomel% latex2html id marker 3992
\setcounter{footnote}{1}\fnsymbol{footnote}, Lexing Ying% latex2html id marker 3993
\setcounter{footnote}{2}\fnsymbol{footnote}, and Xiaolei Song% latex2html id marker 3994
\setcounter{footnote}{1}\fnsymbol{footnote}
% latex2html id marker 3995
\setcounter{footnote}{1}\fnsymbol{footnote}Bureau of Economic Geology,
John A. and Katherine G. Jackson School of Geosciences
The University of Texas at Austin
University Station, Box X
Austin, TX 78713-8972
USA
sergey.fomel@beg.utexas.edu
% latex2html id marker 3996
\setcounter{footnote}{2}\fnsymbol{footnote}Department of Mathematics
The University of Texas at Austin
1 University Station
Austin, TX 78712
USA
lexing@math.utexas.edu


Abstract:

We consider the problem of constructing a wave extrapolation operator in a variable and possibly anisotropic medium. Our construction involves Fourier transforms in space combined with the help of a lowrank approximation of the space-wavenumber wave-propagator matrix. A lowrank approximation implies selecting a small set of representative spatial locations and a small set of representative wavenumbers. We present a mathematical derivation of this method, a description of the lowrank approximation algorithm, and numerical examples which confirm the validity of the proposed approach. Wave extrapolation using lowrank approximation can be applied to seismic imaging by reverse-time migration in 3D heterogeneous isotropic or anisotropic media.




next up previous [pdf]

Next: INTRODUCTION Up: Reproducible Documents

2014-06-02