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Record W2126642672 · doi:10.1071/aseg2015ab245

Lateral Velocity Variations in the Darai Limestone, Papua New Guinea Foreland

2015· article· en· W2126642672 on OpenAlexaff
Andrew W. Nelson, B. R. Turner

Bibliographic record

VenueASEG Extended Abstracts · 2015
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicSeismic Imaging and Inversion Techniques
Canadian institutionsHorizon Health Network
Fundersnot available
KeywordsForeland basinGeologyNew guineaDrillingSeismic velocityStructural basinSeismologyPaleontologyGeomorphologyPetrology

Abstract

fetched live from OpenAlex

A combination of exploration and appraisal drilling results from wells on three adjacent discoveries in the Papuan Basin, western Papua New Guinea foreland, shows significant lateral velocity variation across the more than 1 km thick Darai Limestone. Investigation suggests that these are due to alteration, including dolomitisation, of the limestone. Most alteration appears associated with small scale faulting which is typically crestal. Seismic processing velocities are key to establishing the velocity profiles between wells required for depth conversion. Seismic forward modelling studies based on predicted high velocity bodies show processing velocities can develop an oscillatory behaviour in the vicinity of abrupt lateral velocity changes similar to those that may accompany dolomitisation. Similar results are observed on some of the field 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.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.897
Threshold uncertainty score0.986

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 head0.033
GPT teacher head0.250
Teacher spread0.218 · 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 designObservational
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
Published2015
Admission routes1
Has abstractyes

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