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Record W1999272239 · doi:10.1190/1.1817060

Optimal Zoeppritz approximations

2002· article· en· W1999272239 on OpenAlexaff
Charles P. Ursenbach

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicSeismic Imaging and Inversion Techniques
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsComputer science

Abstract

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PreviousNext No AccessSEG Technical Program Expanded Abstracts 2002Optimal Zoeppritz approximationsAuthors: Charles P. UrsenbachCharles P. UrsenbachCREWES, The University of Calgaryhttps://doi.org/10.1190/1.1817060 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Permalink: https://doi.org/10.1190/1.1817060FiguresReferencesRelatedDetailsCited byNonlinear AVO inversion based on Zoeppritz equations to estimate density, P- and S-wave velocities, and the ratio of velocities: Case study of Gulf of MexicoUn Young Lim, Richard L. Gibson, and Nurul Kabir10 August 2019Application of extended elastic impedance in seismic geomechanicsJavad Sharifi, Naser Hafezi Moghaddas, Gholam Reza Lashkaripour, Abdolrahim Javaherian, and Marzieh Mirzakhanian10 April 2019 | GEOPHYSICS, Vol. 84, No. 3Imperialist competitive algorithm optimization method for nonlinear amplitude variation with angle inversionAmir Mollajan, Hossein Memarian, and Beatriz Quintal8 April 2019 | GEOPHYSICS, Vol. 84, No. 3Application of pseudolinear Zoeppritz equation in the prediction of CBM "sweet spot"Yinping Dong, Jianqing Wang, Zhongbin Tian, and Youyi Shen27 August 2018Second-order perturbation approximation of reflection based on scattering-matrix decompositionCheng-cheng Gong, Guo-chen Wu, and Jun-zhen Shan27 August 2018Amplitude variation with angle inversion using the exact Zoeppritz equations — Theory and methodologyLixia Zhi, Shuangquan Chen, and Xiang-yang Li18 February 2016 | GEOPHYSICS, Vol. 81, No. 2An inversion method for seafloor elastic parametersYangting Liu, Umberta Tinivella, and Xuewei Liu23 April 2015 | GEOPHYSICS, Vol. 80, No. 3Joint AVO Inversion of PP and PS waves using exact Zoeppritz equationLixia Zhi, Shuangquan Chen, and Xiang-yang Li19 August 2013AVO inversion using the Zoeppritz equation for PP reflectionsXinfa Zhu and George McMechan25 October 2012A non‐linear, three‐parameter AVO method that can be solved non‐iterativelyChuck Ursenbach3 January 2005 SEG Technical Program Expanded Abstracts 2002ISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2002 Pages: 2478 publication data© 2002 Copyright © 2002 Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished Online: 03 Jan 2005 CITATION INFORMATION Charles P. Ursenbach, (2002), "Optimal Zoeppritz approximations," SEG Technical Program Expanded Abstracts : 1897-1900. https://doi.org/10.1190/1.1817060 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)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.013
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0130.002

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 head0.023
GPT teacher head0.200
Teacher spread0.177 · 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 designTheoretical or conceptual
Domainnot available
GenreMethods

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

Citations27
Published2002
Admission routes1
Has abstractyes

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Same topicSeismic Imaging and Inversion TechniquesFrench-language works237,207