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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

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.916
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0360.002

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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations27
Published2002
Admission routes1
Has abstractyes

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