Variable Grid Finite-Difference Modeling Including Surface Topography

We have developed a two-dimensional viscoelastic finite-difference modeling method for highly complex topography. Realistic modeling of seismic wave propagation in the near surface is complicated by many factors, such as strong heterogeneity, topographic relief and large attenuation. In order to...

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Bibliographic Details
Main Authors: Hayashi, Koichi, Burns, Daniel R.
Other Authors: Massachusetts Institute of Technology. Earth Resources Laboratory
Format: Technical Report
Published: Massachusetts Institute of Technology. Earth Resources Laboratory 2012
Online Access:http://hdl.handle.net/1721.1/75434
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author Hayashi, Koichi
Burns, Daniel R.
author2 Massachusetts Institute of Technology. Earth Resources Laboratory
author_facet Massachusetts Institute of Technology. Earth Resources Laboratory
Hayashi, Koichi
Burns, Daniel R.
author_sort Hayashi, Koichi
collection MIT
description We have developed a two-dimensional viscoelastic finite-difference modeling method for highly complex topography. Realistic modeling of seismic wave propagation in the near surface is complicated by many factors, such as strong heterogeneity, topographic relief and large attenuation. In order to account for these complications, we use a velocity-stress staggered grid and employ an 0(2,4) accurate viscoelastic finite-difference scheme. The implementation includes an irregular free surface condition for topographic relief and a variable grid technique in the shallow parts of the model. Numerical tests indicate that approximately ten grid-points per shortest wavelength results in accurate calculations. The method is accurate and stable, and allows us to handle complex structure in finite-difference modeling.
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spelling mit-1721.1/754342019-04-10T23:57:03Z Variable Grid Finite-Difference Modeling Including Surface Topography Hayashi, Koichi Burns, Daniel R. Massachusetts Institute of Technology. Earth Resources Laboratory Burns, Daniel R. We have developed a two-dimensional viscoelastic finite-difference modeling method for highly complex topography. Realistic modeling of seismic wave propagation in the near surface is complicated by many factors, such as strong heterogeneity, topographic relief and large attenuation. In order to account for these complications, we use a velocity-stress staggered grid and employ an 0(2,4) accurate viscoelastic finite-difference scheme. The implementation includes an irregular free surface condition for topographic relief and a variable grid technique in the shallow parts of the model. Numerical tests indicate that approximately ten grid-points per shortest wavelength results in accurate calculations. The method is accurate and stable, and allows us to handle complex structure in finite-difference modeling. Massachusetts Institute of Technology. Borehole Acoustics and Logging Consortium Massachusetts Institute of Technology. Earth Resources Laboratory. Reservoir Delineation Consortium United States. Dept. of Energy (Grant DE-FG02-98ER14846) 2012-12-12T19:38:24Z 2012-12-12T19:38:24Z 1999 Technical Report http://hdl.handle.net/1721.1/75434 Earth Resources Laboratory Industry Consortia Annual Report;1999-16 application/pdf Massachusetts Institute of Technology. Earth Resources Laboratory
spellingShingle Hayashi, Koichi
Burns, Daniel R.
Variable Grid Finite-Difference Modeling Including Surface Topography
title Variable Grid Finite-Difference Modeling Including Surface Topography
title_full Variable Grid Finite-Difference Modeling Including Surface Topography
title_fullStr Variable Grid Finite-Difference Modeling Including Surface Topography
title_full_unstemmed Variable Grid Finite-Difference Modeling Including Surface Topography
title_short Variable Grid Finite-Difference Modeling Including Surface Topography
title_sort variable grid finite difference modeling including surface topography
url http://hdl.handle.net/1721.1/75434
work_keys_str_mv AT hayashikoichi variablegridfinitedifferencemodelingincludingsurfacetopography
AT burnsdanielr variablegridfinitedifferencemodelingincludingsurfacetopography