Validation of Teleseismic Inversion of the 2004 Mw 6.3 Les Saintes, Lesser Antilles, Earthquake by 3D Finite-Difference Forward Modeling

2009 ◽  
Vol 99 (6) ◽  
pp. 3390-3401 ◽  
Author(s):  
J. Salichon ◽  
A. Lemoine ◽  
H. Aochi
Keyword(s):  
Finite Difference ◽  
Forward Modeling ◽  
Lesser Antilles ◽  
Les Saintes

A modified-boundary condition algorithm for efficient 3D forward modeling of CSEM data

2021 ◽  
Author(s):  
Rahul Dehiya
Keyword(s):  
Boundary Condition ◽  
Finite Difference ◽  
Source Term ◽  
Forward Modeling ◽  
Field Vector ◽  
Fine Grid ◽  
Boundary Field ◽  
Radiation Boundary ◽  
3D Forward Modeling ◽  
Modeling Algorithm

<p>I present a newly developed 3D forward modeling algorithm for controlled-source electromagnetic data. The algorithm is based on the finite-difference method, where the source term vector is redefined by combining a modified boundary condition vector and source term vector. The forward modeling scheme includes a two-step modeling approach that exploits the smoothness of the electromagnetic field. The first step involves a coarse grid finite-difference modeling and the computation of a modified boundary field vector called radiation boundary field vector. In the second step, a relatively fine grid modeling is performed using radiation boundary conditions. The fine grid discretization does not include stretched grid and air medium. The proposed algorithm derives computational efficiency from a stretch-free discretization, air-free computational domain, and a better initial guess for an iterative solver. The numerical accuracy and efficiency of the algorithm are demonstrated using synthetic experiments. Numerical tests indicate that the developed algorithm is one order faster than the finite-difference modeling algorithm in most of the cases analyzed during the study. The radiation boundary method concept is very general; hence, it can be implemented in other numerical schemes such as finite-element algorithms.</p>

Simulation of the 2004 tsunami of Les Saintes in Guadeloupe (Lesser Antilles) using new source constraints

2020 ◽  
Vol 103 (2) ◽  
pp. 2103-2129
Author(s):  
Louise Cordrie ◽  
Audrey Gailler ◽  
Javier Escartin ◽  
Nathalie Feuillet ◽  
Philippe Heinrich
Keyword(s):  
Lesser Antilles ◽  
Les Saintes ◽  
2004 Tsunami

Irregular surface seismic forward modeling by a body-fitted rotated–staggered-grid finite-difference method

2018 ◽  
Vol 15 (3-4) ◽  
pp. 420-431
Author(s):  
Jing-Wang Cheng ◽  
Na Fan ◽  
You-Yuan Zhang ◽  
Xiao-Chun Lü
Keyword(s):  
Finite Difference ◽  
Finite Difference Method ◽  
Difference Method ◽  
Forward Modeling ◽  
Staggered Grid ◽  
Irregular Surface

Initial sub-aerial volcanic activity along the central Lesser Antilles inner arc: New K–Ar ages from Les Saintes volcanoes

2014 ◽  
Vol 287 ◽  
pp. 12-21 ◽  
Author(s):  
Fabienne Zami ◽  
Xavier Quidelleur ◽  
Julia Ricci ◽  
Jean-Frédéric Lebrun ◽  
Agnès Samper
Keyword(s):  
Volcanic Activity ◽  
Lesser Antilles ◽  
Les Saintes

Optimal 15-point finite difference forward modeling in frequency-space domain

2012 ◽  
Author(s):  
Lu Liu ◽  
Hong Liu ◽  
Hongwei Liu ◽  
Jianhua Liu
Keyword(s):  
Finite Difference ◽  
Forward Modeling ◽  
Space Domain ◽  
Frequency Space

scholarly journals Application Of Finite Difference Eikonal Solver For Traveltime Computation In Forward Modeling And Migration

2021 ◽  
Vol 72 ◽  
pp. 113-122
Author(s):  
Amir Mustaqim Majdi ◽  
◽  
Seyed Yaser Moussavi Alashloo ◽  
Nik Nur Anis Amalina Nik Mohd Hassan ◽  
Abdul Rahim Md Arshad ◽  
...  
Keyword(s):  
Wave Equation ◽  
Finite Difference ◽  
Ray Tracing ◽  
Forward Modeling ◽  
Fast Marching ◽  
Seismic Image ◽  
And Migration ◽  
Ray Path ◽  
Seismic Images ◽  
Tracing Method

Traveltime is one of the propagating wave’s components. As the wave propagates further, the traveltime increases. It can be computed by solving wave equation of the ray path or the eikonal wave equation. Accurate method of computing traveltimes will give a significant impact on enhancing the output of seismic forward modeling and migration. In seismic forward modeling, computation of the wave’s traveltime locally by ray tracing method leads to low resolution of the resulting seismic image, especially when the subsurface is having a complex geology. However, computing the wave’s traveltime with a gridding scheme by finite difference methods able to overcomes the problem. This paper aims to discuss the ability of ray tracing and fast marching method of finite difference in obtaining a seismic image that have more similarity with its subsurface model. We illustrated the results of the traveltime computation by both methods in form of ray path projection and wavefront. We employed these methods in forward modeling and compared both resulting seismic images. Seismic migration is executed as a part of quality control (QC). We used a synthetic velocity model which based on a part of Malay Basin geology structure. Our findings shows that the seismic images produced by the application of fast marching finite difference method has better resolution than ray tracing method especially on deeper part of subsurface model.

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