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Record W2068549956 · doi:10.1190/1.1816092

Prestack elastic Kirchhoff migration for multicomponent seismic data in variable velocity media

2000· article· en· W2068549956 on OpenAlexaffabout
George A. McMechan

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicSeismic Imaging and Inversion Techniques
Canadian institutionsBP (Canada)
Fundersnot available
KeywordsPrestackGeologySeismic migrationSeismologyVariable (mathematics)Mathematical analysisMathematics

Abstract

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PreviousNext No AccessSEG Technical Program Expanded Abstracts 2000Prestack elastic Kirchhoff migration for multicomponent seismic data in variable velocity mediaAuthors: Aimin XueGeorge A. McMechanAimin XueVeritasDGC Inc., 715, Fifth Avenue, S.W., Suite 2200, Calgary, Alberta T2P 5A2, Canada and George A. McMechanCenter for lithospheric studies, The University of Texas at Dallas, Box 830688, Richardson, Texas 75083‐0688https://doi.org/10.1190/1.1816092 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Permalink: https://doi.org/10.1190/1.1816092FiguresReferencesRelatedDetailsCited ByElastic least-squares reverse time migration in vertical transverse isotropic mediaJidong Yang, Hejun Zhu, George McMechan, Houzhu Zhang, and Yang Zhao9 October 2019 | GEOPHYSICS, Vol. 84, No. 6Isotropic elastic reverse time migration using the phase- and amplitude-corrected vector P- and S-wavefieldsJidong Yang, Hejun Zhu, Wenlong Wang, Yang Zhao, and Houzhu Zhang1 October 2018 | GEOPHYSICS, Vol. 83, No. 6Migration of Elastic Fields Based on Kirchhoff and Rayleigh Integrals17 February 2018A velocity tomography method in the angle domain for elastic vector wavefieldNing Qin, Zhenchun Li, and Kai Zhang25 October 2012Multicomponent joint migration velocity analysis in the angle domain for PP-waves and PS-wavesQizhen Du, Fang Li, Jing Ba, Yitong Zhu, and Bo Hou15 February 2012 | GEOPHYSICS, Vol. 77, No. 1Elastic Kirchhoff migration of vectorial wave-fields8 January 2009 | Applied Geophysics, Vol. 5, No. 4Vector imaging of converted wave data in laterally uniform media with VTI anisotropyCharlie Jing, Thomas A. Dickens, and Graham A. Winbow1 August 2006 | GEOPHYSICS, Vol. 71, No. 4Vector imaging of converted wave data in laterally uniform media with VTI anisotropyCharlie Jing, Thomas A. Dickens, and Graham A. Winbow7 December 2005 SEG Technical Program Expanded Abstracts 2000ISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2000 Pages: 2484 publication data© 2000 Copyright © 2000 Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished: 04 Jan 2005 CITATION INFORMATION Aimin Xue and George A. McMechan, (2000), "Prestack elastic Kirchhoff migration for multicomponent seismic data in variable velocity media," SEG Technical Program Expanded Abstracts : 449-452. https://doi.org/10.1190/1.1816092 Plain-Language Summary PDF DownloadLoading ...

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.136
Threshold uncertainty score0.454

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1360.041

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.031
GPT teacher head0.240
Teacher spread0.209 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations10
Published2000
Admission routes2
Has abstractyes

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