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Record W2810451745 · doi:10.3997/2214-4609.201801120

The Composite Azimuthal Effect of Intrinsic and Scattering Attenuation on 3D Seismic Data

2018· article· en· W2810451745 on OpenAlexaff
Daxin Shi, B. Milkereit

Bibliographic record

VenueProceedings · 2018
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicSeismic Imaging and Inversion Techniques
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAttenuationAmplitudeAzimuthScatteringWaveformGeologyAnelastic attenuation factorSeismologySeismic waveViscoelasticityAcousticsComputational physicsPhysicsOptics

Abstract

fetched live from OpenAlex

Summary The seismic attenuation we observed from previous studies at various sites suggested the complexity of imaging in a hardrock environment. Firstly, the attenuation effect is extremely strong from VSP measurements. It causes the loss of unconformity images along distinct sections. Secondly, the strong attenuation is highly localized. Observation from the surface 3D seismic datasets indicated that the low Q structures occur vertically with specific elongated shapes. We conduct a 3D full waveform Finite-Difference (FD) viscoelastic modelling to illustrate this type of complexity. The 3D model consists of vertical low-Q-low-Vp and high-Q-high-Vp zones. Thus, both of the intrinsic and scattering attenuation effects are embedded. The result implies the surface observed seismic amplitude can exhibit azimuthal variations under the influence of both of these two effects. The local amplitude fast decaying direction may not align with the true low Q or high velocity directions.

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.

How this classification was reachedexpand

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)0.001
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.816
Threshold uncertainty score0.182

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.241
Teacher spread0.224 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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