eprintid: 7201
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/72/01
datestamp: 2023-11-09 16:19:00
lastmod: 2023-11-09 16:19:00
status_changed: 2023-11-09 16:08:44
type: conference_item
metadata_visibility: show
creators_name: Alashloo, S.Y.M.
creators_name: Ghosh, D.P.
creators_name: Bashir, Y.
creators_name: Yusoff, W.I.W.
title: A comparison on initial-value ray tracing and fast marching eikonal solver for VTI traveltime computing
ispublished: pub
keywords: Anisotropic media; Anisotropy; Earth sciences; Geology; Seismic prospecting; Seismology, Anisotropic medium; Kirchhoff migration; Propagation angle; Ray-tracing method; Seismic anisotropy; Seismic imaging; Tomography algorithm; Vertical transverse isotropies, Ray tracing, algorithm; anisotropic medium; Kirchhoff equation; numerical method; ray tracing; seismic anisotropy; seismic migration; seismic tomography; seismic wave; travel time; wave equation; wave velocity
note: cited By 2; Conference of 3rd International Conference on Geological, Geographical, Aerospace and Earth Science, AeroEarth 2015 ; Conference Date: 26 September 2015 Through 27 September 2015; Conference Code:119552
abstract: The Earth's subsurface is an anisotropic medium where the velocity of seismic waves alters in different propagation angles. Omitting anisotropy in seismic imaging not only brings mis-positioning of migrated dipping events but also fails to retain dipping energy during dip-moveout. To account for the efficacy of seismic anisotropy in imaging, an anisotropic wave equation must be engaged. Seismic traveltime computing is fundamental of both Kirchhoff migration and tomography algorithms. Two main categories of traveltime computing involve traditional ray tracing methods and finite difference eikonal solvers. In this study, we present two techniques of initial-value ray tracing and fast marching eikonal solver in isotropic and vertical transverse isotropy (VTI) media, and a comparison between results is demonstrated for more evaluation. Although the ray tracing approach is able to compute multiple arrivals with great precision, the eikonal solver is faster and more robust for traveltime computation. Since the ray tracing result is not a deterministic solution and it depends on the initial circumstance, employing the eikonal solver method are more preferred and suggested. © Published under licence by IOP Publishing Ltd.
date: 2016
publisher: Institute of Physics Publishing
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84960858084&doi=10.1088%2f1755-1315%2f30%2f1%2f012007&partnerID=40&md5=72e5b78516a0f7dd5fc2c51bccc251cb
id_number: 10.1088/1755-1315/30/1/012007
full_text_status: none
publication: IOP Conference Series: Earth and Environmental Science
volume: 30
number: 1
refereed: TRUE
issn: 17551307
citation:   Alashloo, S.Y.M. and Ghosh, D.P. and Bashir, Y. and Yusoff, W.I.W.  (2016) A comparison on initial-value ray tracing and fast marching eikonal solver for VTI traveltime computing.  In: UNSPECIFIED.