2 edition of Linearized inversion of reflection traveltimes found in the catalog.
Linearized inversion of reflection traveltimes
Myung W. Lee
by U.S. G.P.O., For sale by the Books and Open-File Reports Section, U.S. Geological Survey in [Washington], Denver, CO
Written in English
Includes bibliographical references (p. 21).
|Statement||by Myung W. Lee and Warren F. Agena.|
|Series||U.S. Geological Survey bulletin ;, 1965|
|Contributions||Agena, Warren F.|
|LC Classifications||QE75 .B9 no. 1965, QE539.2.S43 .B9 no. 1965|
|The Physical Object|
|Pagination||iii, 21 p. :|
|Number of Pages||21|
|LC Control Number||91007790|
A local triangulation is applied to make a connection between velocity and interface nodes. Then a joint inversion of first‐arrival and reflection traveltimes for imaging seismic velocity structures in complex terrains is presented. Numerical examples all perform well with different seismic velocity : XinYan Zhang, ZhiMing Bai, Tao Xu, Tao Xu, Rui Gao, Rui Gao, QiuSheng Li, Jue Hou, José Badal. Linear seismic inversion. Inverse modeling is a mathematical technique where the objective is to determine the physical properties of the subsurface of an earth region that has produced a given seismogram. Cooke and Schneider () defined it as calculation of the earth's structure and physical parameters from some set of observed seismic data.
model from manually picked reflection traveltimes. Although the assumptions inherent in NMO based velocity analyses are avoided by this approach, we have to consider the limitations of applying such a linearized inversion strategy to the non-linear problem of reflected traveltime inversion (e.g., Sen and Stoffa ). ForFile Size: KB. Migration and inversion of seismic data R. H. Stolt* and A. B. Wegleint tract information from traveltimes and reflectivities. The exact one-dimensional (I-D) acoustic inverse problem address migration and multidimensional linearized inversion, and briefly discuss nonlinear Size: 1MB.
Although numerous investigators have studied inversion of reflection traveltimes for 3D layered structure (e.g., Hubral , Gj~stdal & Ursin , Chiu et al. , Chiu & Stewart , Lin , Phadke & Kanasewich ), the analogous situation for refraction traveltime data has not been thoroughly : D.F. Aldridge, D.W. Oldenburg. Most seismic reflection data are still collected a clear that no serious sttempt can be made for unless we can make the hypothesis that there are geology (i.e., in the direction perpendicular to assume that the geological model is invariant y-axis (taking the x-axis as the profile line): r simplicity, we will later assur.
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Linearized inversion of reflection traveltimes (OCoLC) Material Type: Government publication, National government publication, Internet resource: Document Type: Book, Internet Resource: All Authors / Contributors: Myung W Lee; W F Agena; Geological Survey (U.S.).
Publication type: Report: Publication Subtype: USGS Numbered Series: Title: Linearized inversion of reflection traveltimes: Series title: Bulletin: Series number. This is the first book of its kind on seismic amplitude inversion in the context of reflection tomography.
The aim of the monograph is to advocate the use of ray-amplitude data, separately or jointly with traveltime data, in reflection seismic : Paperback. invert reflection traveltimes. We must rapidly compute traveltimes through models by a method avoiding raytracing.
It employs a fast finite-difference scheme based on a solution to the eikonal equation (Vidale, ). This accounts for curved rays and all types of primary arrivals, i.e., the fastest arrival, be it a direct arrival or a diffraction.
Seismic reflection tomography attempts to match traveltimes obtained from surface seismic data with the corresponding traveltimes of rays traced through a model of the subsurface. Traveltimes along Cited by: This paper presents a traveltime inversion approach, using the reflection traveltimes from offset VSP data, to reconstruct the horizontal and vertical velocities for stratified anisotropic media.
Reflection Traveltime Inversions in VTI Media Chunyan (Mary) Xiao, John ft, and R. James Brown, University of Calgary, Calgary Abstract Anisotropy parameters in a VTI medium can be obtained by normal-moveout velocity analysis performed on short-spread or long-spread reflection-seismic data, in combination with check-shot or well-log data.
Inversion of reflection seismic amplitude data for interface geometry Yanghua Wang and Gregory A. Houseman because the amplitudes and traveltimes are sensitive to different features of the performed a linearized inversion for 3-D structure under.
Geophys. Int. ()Sensitivities of seismic traveltimes and amplitudes in reflection tomography Yanghua Wang and R. Gerhard Pratt Department of Geology, Imperial College of Science, Technolog) and Medicine, London SW7 2BP, UK E-mail y h untlg(ci ic ac uk Accepted June Received June 12; in original form June 4.
Since S-wave velocities and the densi- ties are not available from the traveltime inversion in step (a), initial estimates of these parameters are com- puted from the following formulae (Birch.
): p = a/l p = + X&x (19) where a, p and p. respectively, are the P and S veloci- ties and density. This is the first book of its kind on seismic amplitude inversion in the context of reflection tomography.
The aim of the monograph is to advocate the use of ray-amplitude data, separately or jointly with traveltime data, in reflection seismic emphasis of seismic exploration is on imaging techniques, so that seismic section can be interpreted directly as a geological section.
separation between the short-spread reflections and early arriv-als, the feasibility of which is illustrated with a real data case study.
JFWI is alternated with a waveform inversion/migration of short-spread reflections to provide a short-scale impedance model. This model is.
Inversion of seismic reflection traveltimes using a nonlinear optimization scheme Sathish K. Pullammanappallil* and John N. Louie* ABSTRACT We present the use of a nonlinear optimization scheme called generalized simulated annealing to in-vert seismic reflection times for velocities, reflector depths, and lengths.
A finite-difference solution of the. This dependence is in the opposite direction to the sensitivity of ray-amplitudes to the interface wavenumber components. Therefore, the information content in reflection traveltimes and reflection amplitudes are indeed complementary in linearized inversion.
Traveltimes along rays from surface shot locations down to reflecting interfaces and then back up to surface receiver locations are used; the goal is to determine both the position of the reflectors and the slowness field above the reflectors.
Seismic reflection tomography is closely related to the inversion of a limited-angle Radon transform. Refraction/wide-angle reflection seismic data are reliable for velocity estimation through inversion of first-arrival traveltimes.
Nevertheless, velocity models inferred from traveltime analysis are limited by their poor resolution. Additional inversion of wide-angle reflection traveltimes allows to delineate the main geological interfaces in the : C.
Ravaut, S. Operto, L. Improta, A. Herrero, J. Virieux, P. dell'Aversana. Description. This is the first book of its kind on seismic amplitude inversion in the context of reflection tomography.
The aim of the monograph is to advocate the use of ray-amplitude data, separately or jointly with traveltime data, in reflection seismic tomography.
The emphasis of seismic exploration is on imaging techniques, Author: Yanghua. To reduce the nonlinearity of waveform inversion, we choose to decouple the effects of the model background and perturbation on the reflected waves within a linearized inversion framework.
The inversion of traveltimes from refraction experiments sometimes encounters the ray coverage problem. Irregular station distribution and ray shadow The observation equations for a traveltime t and gravity anomaly g can be linearized as Sequential integrated inversion of refraction and wide-angle reflection traveltimes and gravity data Cited by: where is a vector of traveltimes, is a vector of slowness, and L is a matrix in which a row contains the path lengths of a ray in each cell.
This forward problem is a nonlinear equation because the operator L depends on the slowness vector. This nonlinear problem can be linearized by subtracting a reference problem and expressing the forward problem of the traveltime deviations from the.
the linearized eikonal equationa aPublished in SEP report, 94, () Sergey Fomel1 INTRODUCTION Traveltime computation is an important part of seismic imaging algorithms. Conventional implementations of Kirchho migration require precomputing traveltime tables or include traveltime calculation in the innermost computational loop.Techniques for forward modeling and inversion of head wave traveltimes within the framework of one and two dimensional earth models are well developed.
The first portion of this thesis extends these methods to encompass three dimensional layered models. Each critically refracting horizon of the model is approximated by a plane interface with arbitrary strike and dip. An advantage of this.CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): We present the use of a nonlinear optimization scheme called generalized simulated annealing to invert seismic reflection times for velocities, reflector depths, and lengths.
A finite-difference solution of the eikonal equation computes reflection traveltimes through the velocity model and avoids raytracing.