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Record W1966428076 · doi:10.1071/aseg2006ab006

A comparison between anisotropic reverse time and phase-shift plus interpolation prestack migrations for tilted anisotropic media

2006· article· en· W1966428076 on OpenAlex
John C. Bancroft, Du Xiang, Don C. Lawton

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueASEG Extended Abstracts · 2006
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicSeismic Imaging and Inversion Techniques
Canadian institutionsXanadu Quantum Technologies (Canada)University of Calgary
Fundersnot available
KeywordsExtrapolationInterpolation (computer graphics)PrestackAnisotropyDispersion (optics)Seismic migrationPhase (matter)Wave equationMathematical analysisComputational physicsPhysicsAlgorithmMaterials scienceMathematicsAcousticsOpticsGeologyClassical mechanicsGeophysicsSeismologyQuantum mechanics

Abstract

fetched live from OpenAlex

Two 2D anisotropie prestack depth migration algorithms that use wavefield extrapolation are evaluated for tilted transversely isotropie media (TTI).The first method is anisotropie phase-shift-plus-interpolation (A-PSPI) that is based on an analytical solution of frequency-dispersion enabling the use of an arbitrary distribution of velocities and anisotropie parameters. The second method is anisotropie reverse-time (A-RT) that uses the full wave equation.We evaluate the accuracy and efficiency of there algorithms. Examples are presented that use numerical and physically modelled data along with a structurally complex real data example. Both A-PSPI and A-RT have excellent performance with A-RT maintaining the advantage of using the full wave equation.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.825
Threshold uncertainty score0.671

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)0.0000.000

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.

Opus teacher head0.025
GPT teacher head0.279
Teacher spread0.254 · 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