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Record W2099950767 · doi:10.3997/2214-4609.20130467

AVAZ Inversion for Fracture Orientation and Intensity - A Physical Modeling Study

2013· article· en· W2099950767 on OpenAlex
Faranak Mahmoudian, Gary F. Margravé

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

VenueProceedings · 2013
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicSeismic Imaging and Inversion Techniques
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsIsotropyAnisotropyInversion (geology)AmplitudeShear (geology)GeologyOrientation (vector space)OpticsGeometrySeismologyPhysicsMathematics

Abstract

fetched live from OpenAlex

veltime analysis. This experimental model represents a HTI layer. We apply amplitude inversion of small incident angle data to extract the fracture orientation (direction of isotropic plane of the medium), and are able estimate the fracture orientation quite accurately. Knowing the fracture orientation, we modified the available linear PP reflection coefficient approximation to invert for the anisotropy parameters (ε(V), δ(V), γ). The results for all three anisotropy parameters from AVAZ inversion compare very favorably to those obtained previously by a traveltime inversion. This result makes it possible to compute the shear-wave splitting parameter, directly related to fracture intensity, which historically had been determined from shear-wave data, from a quantitative analysis of the PP reflected data.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.979
Threshold uncertainty score0.354

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 head0.017
GPT teacher head0.232
Teacher spread0.215 · 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