Research on seismic modeling and inversion at the center for wave phenomena: Status, february, 1989

1989 ◽  
Vol 1 (1) ◽  
pp. 33-61
Author(s):  
Norman Bleistein ◽  
Jack K. Cohen
Keyword(s):  
Seismic Modeling ◽  
And Inversion ◽  
Wave Phenomena

Meshing for velocity modeling and ray tracing in complex velocity fields

Geophysics ◽  
2006 ◽  
Vol 71 (1) ◽  
pp. U1-U11 ◽  
Author(s):  
Andreas Rüger ◽  
Dave Hale
Keyword(s):  
Unstructured Grids ◽  
Velocity Fields ◽  
Computer Memory ◽  
Seismic Modeling ◽  
Complex Velocity ◽  
Space Filling ◽  
Velocity Modeling ◽  
Velocity Models ◽  
Automated Process ◽  
And Inversion

In seismic processing, velocity fields are commonly represented on finely sampled Cartesian grids. Attractive alternatives are unstructured grids such as meshes composed of triangles or tetrahedra. Meshes provide a space-filling framework that enables editing of velocity models while facilitating numerical tasks such as seismic modeling and inversion. In this paper, we introduce an automated process to generate meshes of subsurface velocity structures for highly resolved velocity fields without providing additional external constraints such as horizons and faults. Our analysis shows that these new meshes can represent both smooth and discontinuous velocity profiles accurately and with less computer memory than grids.

Multichannel seismic modeling and inversion based on Markov‐Bernoulli random field

2009 ◽  
Author(s):  
Alon Heimer ◽  
Israel Cohen ◽  
Anthony A. Vassiliou
Keyword(s):  
Random Field ◽  
Seismic Modeling ◽  
And Inversion

scholarly journals General representations for wavefield modeling and inversion in geophysics

Geophysics ◽  
2007 ◽  
Vol 72 (5) ◽  
pp. SM5-SM17 ◽  
Author(s):  
Kees Wapenaar
Keyword(s):  
Wave Equation ◽  
Vector Wave ◽  
Geophysical Modeling ◽  
Vector Wave Equation ◽  
Symmetry Properties ◽  
Multiple Elimination ◽  
And Inversion ◽  
Matrix Vector ◽  
Wave Phenomena

Acoustic, electromagnetic, elastodynamic, poroelastic, and electroseismic waves are all governed by a unified matrix-vector wave equation. The matrices in this equation obey the same symmetry properties for each of these wave phenomena. This implies that the wave vectors for each of these phenomena obey the same reciprocity theorems. By substituting Green’s matrices in these reciprocity theorems, unified wavefield representations are obtained. Analogous to the well-known acoustic wavefield representations, these unified representations find applications in geophysical modeling, migration, inversion, multiple elimination, and interferometry.

EXPLORATION ORIENTED SEISMIC MODELING AND INVERSION

1994 ◽  
pp. 417-524
Author(s):  
Alfred Behle ◽  
G. Seriani ◽  
J.M. Carcione ◽  
E. Priolo ◽  
G. Jacovitti ◽  
...  
Keyword(s):  
Seismic Modeling ◽  
And Inversion

REFRACTION SEISMIC MODELING AND INVERSION FOR THE DETECTION OF FRACTURE ZONES IN BEDROCK

2018 ◽  
Author(s):  
Georgios A. Tassis ◽  
Jan Steinar Rønning ◽  
Siegfried Rohdewald
Keyword(s):  
Fracture Zones ◽  
Seismic Modeling ◽  
Refraction Seismic ◽  
And Inversion

An efficient method for calculating finite‐difference seismograms after model alterations

Geophysics ◽  
2000 ◽  
Vol 65 (3) ◽  
pp. 907-918 ◽  
Author(s):  
Johan O. A. Robertsson ◽  
Chris H. Chapman
Keyword(s):  
Finite Difference ◽  
Computational Cost ◽  
Time Lapse ◽  
Full Model ◽  
Seismic Modeling ◽  
Complete Model ◽  
Model Following ◽  
Seismic Models ◽  
And Inversion ◽  
Full Simulation

Seismic modeling, processing, and inversion often require the calculation of the seismic response resulting from a suite of closely related seismic models. Even though changes to the model may be restricted to a small subvolume, we need to perform simulations for the full model. We present a new finite‐difference method that circumvents the need to resimulate the complete model for local changes. By requiring only calculations in the subvolume and its neighborhood, our method makes possible significant reductions in computational cost and memory requirements. In general, each source/receiver location requires one full simulation on the complete model. Following these pre‐computations, recalculation of the altered wavefield can be limited to the region around the subvolume and its neighborhood. We apply our method to a 2-D time‐lapse seismic problem, thereby achieving a factor of 15 reduction in computational cost. Potential savings for 3-D are far greater.

Seismic modeling and inversion

1984 ◽  
Vol 72 (10) ◽  
pp. 1385-1393 ◽  
Author(s):  
C.B. Wason ◽  
J.L. Black ◽  
G.A. King
Keyword(s):  
Seismic Modeling ◽  
And Inversion

scholarly journals Seismic modeling and inversion using half-precision floating-point numbers

Geophysics ◽  
2020 ◽  
Vol 85 (3) ◽  
pp. F65-F76
Author(s):  
Gabriel Fabien-Ouellet
Keyword(s):  
Graphics Processing Units ◽  
Dynamic Range ◽  
Stable Solution ◽  
Floating Point ◽  
Seismic Modeling ◽  
Reverse Time ◽  
Single Precision ◽  
Time Migration ◽  
And Inversion ◽  
Floating Point Numbers

New processors are increasingly supporting half-precision floating-point numbers, often with a significant throughput gain over single-precision operations. Seismic modeling, imaging, and inversion could benefit from such an acceleration, but it is not obvious how the accuracy of the solution can be preserved with a very narrow 16-bit representation. By scaling the finite-difference expression of the isotropic elastic wave equation, we have found that a stable solution can be obtained despite the very narrow dynamic range of the half-precision format.We develop an implementation with the CUDA platform, which, on most recent graphics processing units (GPU), is nearly twice as fast and uses half the memory of the equivalent single-precision version. The error on seismograms caused by the reduced precision is shown to correspond to a negligible fraction of the total seismic energy and is mostly incoherent with seismic phases. Finally, we find that this noise does not adversely impact full-waveform inversion nor reverse time migration, which both benefit from the higher throughput of half-precision computation.

Sign in / Sign up

Export Citation Format

Share Document