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Record W2050895373 · doi:10.1190/1.1816584

Non‐linear AVO equations and their use in 3‐parameter inversions

2001· article· en· W2050895373 on OpenAlexaboutno aff
Michael C. Kelly, Charles M. Skidmore

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicSeismic Imaging and Inversion Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsGeologyComputer science

Abstract

fetched live from OpenAlex

PreviousNext No AccessSEG Technical Program Expanded Abstracts 2001Non‐linear AVO equations and their use in 3‐parameter inversionsAuthors: Michael C. KellyCharles SkidmoreMichael C. KellyDiamond Geoscience Research Corp. and Charles SkidmoreDiamond Geoscience Research Corp.https://doi.org/10.1190/1.1816584 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Permalink: https://doi.org/10.1190/1.1816584FiguresReferencesRelatedDetailsCited byTwo-step joint PP- and PS-wave three-term amplitude-variation with offset inversionQizhen Du, Bo Zhang, Xianjun Meng, Chengfeng Guo, Gang Chen, and Guodong Huo17 October 2016 | Interpretation, Vol. 4, No. 4Elastic impedance variation with angle inversion for elastic parameters27 March 2012 | Journal of Geophysics and Engineering, Vol. 9, No. 3Prediction of Shale Plugs between Wells in Heavy Oil Sands using Seismic Attributes8 December 2006 | Natural Resources Research, Vol. 15, No. 2Simultaneous inversion of PP and PS seismic dataHelene Hafslund Veire and Martin Landrø22 May 2006 | GEOPHYSICS, Vol. 71, No. 3Gas hydrates at the Storegga Slide: Constraints from an analysis of multicomponent, wide-angle seismic dataStefan Bünz, Jürgen Mienert, Maarten Vanneste, and Karin Andreassen14 September 2005 | GEOPHYSICS, Vol. 70, No. 5Examination of wide‐angle, multi‐component, AVO attributes for prediction of shale in heavy oil sands: A case study from the Long Lake Project, Alberta, CanadaDavid Gray, Paul Anderson, and Jay Gunderson3 January 2005Spherical wave AVO modeling of converted waves in isotropic mediaArnim B. Haase3 January 2005Plane waves, spherical waves and angle‐dependent P‐wave reflectivity in elastic VTI‐modelsArnim B. Haase3 January 2005 SEG Technical Program Expanded Abstracts 2001ISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2001 Pages: 2135 publication data© 2001 Copyright © 2001 Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished Online: 03 Jan 2005 CITATION INFORMATION Michael C. Kelly and Charles Skidmore, (2001), "Non‐linear AVO equations and their use in 3‐parameter inversions," SEG Technical Program Expanded Abstracts : 255-256. https://doi.org/10.1190/1.1816584 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)0.009
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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.002

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 head0.039
GPT teacher head0.231
Teacher spread0.192 · 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

Citations12
Published2001
Admission routes1
Has abstractyes

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