Constrained three parameter AVO inversion and uncertainty analysis
Bibliographic record
Abstract
PreviousNext No AccessSEG Technical Program Expanded Abstracts 2001Constrained three parameter AVO inversion and uncertainty analysisAuthors: Jonathan E. DowntonLaurence R. LinesJonathan E. DowntonScott Pickford / University of Calgary and Laurence R. LinesUniversity of Calgaryhttps://doi.org/10.1190/1.1816583 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Permalink: https://doi.org/10.1190/1.1816583FiguresReferencesRelatedDetailsCited ByBayesian Deterministic Inversion Based on the Exact Reflection Coefficients Equations of Transversely Isotropic Media With a Vertical Symmetry AxisIEEE Transactions on Geoscience and Remote Sensing, Vol. 60Stress prediction and evaluation approach based on azimuthal amplitude‐versus‐offset inversion of unconventional reservoirs3 December 2020 | Geophysical Prospecting, Vol. 69, No. 2The preconditioned ARD-based AVA inversion method for P-impedance and S-impedanceYongzhen Ji, Huafeng Hu, Zhengliang Lin, Kefei Zhang, and Han Zhong30 September 2020Nonlinear amplitude versus angle inversion for transversely isotropic media with vertical symmetry axis using new weak anisotropy approximation equations20 April 2020 | Petroleum Science, Vol. 17, No. 3Matrix-fluid decoupling-based joint PP-PS-wave seismic inversion for fluid identificationBing-Yi Du, Wu-Yang Yang, Jing Zhang, Xue-Shan Yong, Jian-Hu Gao, and Hai-Shan Li19 April 2019 | GEOPHYSICS, Vol. 84, No. 3Three-term amplitude-variation-with-offset projectionsVaughn Ball, Luis Tenorio, Christian Schiøtt, Michelle Thomas, and J. P. Blangy2 August 2018 | GEOPHYSICS, Vol. 83, No. 5Pre-stack seismic density inversion in marine shale reservoirs in the southern Jiaoshiba area, Sichuan Basin, China26 July 2018 | Petroleum Science, Vol. 15, No. 3A nonlinear multiparameter prestack seismic inversion method based on hybrid optimization approach24 January 2018 | Arabian Journal of Geosciences, Vol. 11, No. 3Simultaneous inversion of P- and S-wave impedance based on an improved AVO equationXin Fu, Feng Zhang, and Xiang-Yang Li17 August 2017Target-oriented linear least squares and nonlinear, trust-region Newton inversions of plane waves using AVA and PVA data for elastic model parametersTing Gong and George A. McMechan20 August 2016 | GEOPHYSICS, Vol. 81, No. 5AVO INVERSION WITH THE INVERSE OPERATOR ESTIMATION ALGORITHM1 August 2016 | Chinese Journal of Geophysics, Vol. 59, No. 3Blocky inversion of prestack seismic data using mixed-normsDaniel O. Pérez*, Danilo R. Velis, and Mauricio D. Sacchi5 August 2014High-resolution prestack seismic inversion using a hybrid FISTA least-squares strategyDaniel O. Pérez, Danilo R. Velis, and Mauricio D. Sacchi2 September 2013 | GEOPHYSICS, Vol. 78, No. 5AVO inversion with t-distribution as priori constraintQichao Zhou, Xingyao Yin, Zhaoyun Zong, and Hanqing Liu19 August 2013Elastic impedance variation with angle inversion for elastic parameters27 March 2012 | Journal of Geophysics and Engineering, Vol. 9, No. 3Deterministic mapping of reservoir heterogeneity in Athabasca oil sands using surface seismic dataYong Xu and Satinder Chopra15 December 2008A novel prestack AVO inversion and its applicationXingyao Yin, Peijie Yang, and Guangzhi Zhang15 December 2008Linearized amplitude variation with offset (AVO) inversion with supercritical anglesJonathan E. Downton and Charles Ursenbach28 August 2006 | GEOPHYSICS, Vol. 71, No. 5Wide‐angle inversion for density: Tests for heavy‐oil reservoir characterizationBaishali Roy, Phil Anno, and Michael Gurch6 October 2006A study on applicability of density inversion in defining reservoirsYongyi Li7 December 2005Three term AVO waveform inversionJonathan E. Downton and Laurence R. Lines3 January 2005Spherical wave AVO modeling of converted waves in isotropic mediaArnim B. Haase3 January 2005AVO before NMOJonathan E. Downton and Laurence R. Lines3 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: 03 Jan 2005 CITATION INFORMATION Jonathan E. Downton and Laurence R. Lines, (2001), "Constrained three parameter AVO inversion and uncertainty analysis," SEG Technical Program Expanded Abstracts : 251-254. https://doi.org/10.1190/1.1816583 Plain-Language Summary PDF DownloadLoading ...
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".