Generalized least‐squares DSR migration using a common angle imaging condition
Bibliographic record
Abstract
PreviousNext No AccessSEG Technical Program Expanded Abstracts 2001Generalized least‐squares DSR migration using a common angle imaging conditionAuthors: Henning KuehlMauricio D. SacchiHenning KuehlUniversity of Alberta and Mauricio D. SacchiUniversity of Albertahttps://doi.org/10.1190/1.1816254 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InReddit Permalink: https://doi.org/10.1190/1.1816254FiguresReferencesRelatedDetailsCited byQ-compensated least-squares reverse time migration with velocity-anisotropy correction based on the first-order velocity-pressure equationsYingming Qu, Jianggui Zhu, Zhenzhong Chen, Chongpeng Huang, Yixin Wang, and Chang Liu27 October 2022 | GEOPHYSICS, Vol. 87, No. 6Gradient normalized least-squares reverse-time migration imaging technology25 August 2022 | Frontiers in Earth Science, Vol. 10Illumination compensation of shadow zones in extended least squares migrated images by solving the linear inverse problem in tomographic full waveform inversionRahul Sarkar and Biondo Biondi10 August 2019Least-squares data-to-data migration: An approach for migrating free-surface-related multiplesYikang Zheng, Yibo Wang, and Xu Chang13 February 2019 | GEOPHYSICS, Vol. 84, No. 2Wave-Propagation Operators for True-Amplitude Reverse-Time MigrationLeast squares reverse-time migration in a matrix-based formulation28 January 2015 | Geophysical Prospecting, Vol. 73Least-squares data to data migrationYibo Wang, Yikang Zheng, Xu Chang, and Zhenxing Yao5 August 2014Least-Squares Reverse-Time MigrationGang Yao and Helmut Jakubowicz25 October 2012Non-Linear Least-Squares Reverse-Time MigrationGang Yao and Helmut Jakubowicz25 October 2012Preserved-amplitude angle domain migration by shot-receiver wavefield continuation27 September 2010 | Geophysical Prospecting, Vol. 59, No. 2Target‐oriented wave‐equation inversion: Postack versus prestackAlejandro A. Valenciano14 September 2007Least-squares joint imaging of multiples and primariesMorgan P. Brown and Antoine Guitton8 September 2005 | GEOPHYSICS, Vol. 70, No. 5Target‐oriented wave‐equation inversionAlejandro A. Valenciano, Biondo Biondi, and Antoine Guitton7 December 2005Regularized least‐squares inversion for 3‐D subsalt imagingMarie L. Clapp, Robert G. Clapp, and Biondo L. Biondi7 December 2005Amplitude and kinematic corrections of migrated images for nonunitary imaging operatorsAntoine Guitton28 July 2004 | GEOPHYSICS, Vol. 69, No. 4Least‐squares joint imaging of multiples and primariesMorgan Brown3 January 2005Efficient prestack modeling and imaging of pegleg multiplesMorgan Brown and Antoine Guitton3 January 2005Illumination‐based normalization for wave‐equation depth migrationJames E. Rickett4 August 2003 | GEOPHYSICS, Vol. 68, No. 4Least‐squares wave‐equation migration for AVP/AVA inversionHenning Kühl and Mauricio D. Sacchi27 February 2003 | GEOPHYSICS, Vol. 68, No. 1Amplitude and kinematic corrections of migrated images for non‐unitary imaging operatorsAntoine Guitton3 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 Henning Kuehl and Mauricio D. Sacchi, (2001), "Generalized least‐squares DSR migration using a common angle imaging condition," SEG Technical Program Expanded Abstracts : 1025-1028. https://doi.org/10.1190/1.1816254 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) | 0.004 | 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".