Robust AVP estimation using least‐squares wave‐equation migration
Bibliographic record
Abstract
PreviousNext No AccessSEG Technical Program Expanded Abstracts 2002Robust AVP estimation using least‐squares wave‐equation migrationAuthors: Henning KuehlMauricio SacchiHenning KuehlDept. of Physics, Institute for Geophysical Research, U. of Alberta, Edmonton, Canda and Mauricio SacchiDept. of Physics, Institute for Geophysical Research, U. of Alberta, Edmonton, Candahttps://doi.org/10.1190/1.1817231 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Permalink: https://doi.org/10.1190/1.1817231FiguresReferencesRelatedDetailsCited byTrue-amplitude migration through regularized extended linearized waveform inversionEttore Biondi, Mark A. Meadows, and Biondo Biondi10 November 2021 | GEOPHYSICS, Vol. 87, No. 1Accelerating least-squares Kirchhoff time migration using beam methodologyYubo Yue, Yujin Liu, and Samuel H. Gray8 April 2021 | GEOPHYSICS, Vol. 86, No. 3Fast Single-Step Least-Squares Reverse-Time Imaging via Adaptive Matching Filters in BeamsIEEE Transactions on Geoscience and Remote Sensing, Vol. 58, No. 3Amplitude preserving migration through extended acoustic least-squares RTMEttore Biondi, Mark Meadows, and Biondo Biondi10 August 2019Least-squares reverse time migration (LSRTM) for damage imaging using Lamb waves3 May 2019 | Smart Materials and Structures, Vol. 28, No. 6One-step data-domain least-squares reverse time migrationQiancheng Liu and Daniel Peter2 July 2018 | GEOPHYSICS, Vol. 83, No. 4Plane-wave least-squares reverse time migration with a preconditioned stochastic conjugate gradient methodChuang Li, Jianping Huang, Zhenchun Li, and Rongrong Wang14 November 2017 | GEOPHYSICS, Vol. 83, No. 1A comparison of iterative methods performance to exact and pseudo adjoint operators in least-squares migrationBreno Bahia and Reynam Pestana3 August 2017Elastic least-squares reverse time migrationYuting Duan, Antoine Guitton, and Paul Sava30 May 2017 | GEOPHYSICS, Vol. 82, No. 4Efficient amplitude encoding least-squares reverse time migration using cosine basis29 March 2016 | Geophysical Prospecting, Vol. 64, No. 6Elastic least-squares reverse time migrationYuting Duan, Paul Sava, and Antoine Guitton1 September 2016Seismic Processing: Migration I Complete Session1 September 2016Wave-Propagation Operators for True-Amplitude Reverse-Time MigrationPlane-wave least square reverse time migration for rugged topographyC. Li*, J. P. Huang, Z. C. Li, and Q. Y. Li5 August 2014Plane-wave least-squares reverse-time migrationWei Dai and Gerard T. Schuster3 June 2013 | GEOPHYSICS, Vol. 78, No. 4Least-squares reverse time migration of marine data with frequency-selection encodingWei Dai, Yunsong Huang, and Gerard T. Schuster24 June 2013 | GEOPHYSICS, Vol. 78, No. 4Preserved-amplitude angle domain migration by shot-receiver wavefield continuation27 September 2010 | Geophysical Prospecting, Vol. 59, No. 2Smoothing imaging condition for shot-profile migrationAntoine Guitton, Alejandro Valenciano, Dimitri Bevc, and Jon Claerbout6 April 2007 | GEOPHYSICS, Vol. 72, No. 3High-resolution wave-equation amplitude-variation-with-ray-parameter (AVP) imaging with sparseness constraintsJuefu Wang and Mauricio D. Sacchi16 November 2006 | GEOPHYSICS, Vol. 72, No. 19. Imaging and Partial Subsurface Illumination21 March 20129. Imaging and Partial Subsurface Illumination21 March 2012High-resolution wave-equation AVA imaging: Algorithm and tests with a data set from the Western Canadian Sedimentary BasinJuefu Wang, Henning Kuehl, and Mauricio D. Sacchi9 September 2005 | GEOPHYSICS, Vol. 70, No. 5Data regularization and redatuming using Newton's methodRobert J. Ferguson and Sergey B. Fomel7 December 2005High‐resolution wave equation AVP imaging with sparseness constraintsJuefu Wang and Mauricio D. Sacchi7 December 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 Henning Kuehl and Mauricio Sacchi, (2002), "Robust AVP estimation using least‐squares wave‐equation migration," SEG Technical Program Expanded Abstracts : 281-284. https://doi.org/10.1190/1.1817231 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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".