MétaCan
Menu
← Back to cohort
Record W2025460314 · doi:10.1190/1.3059252

Characterizing the elastic properties and seismic signature of a heavy oil sand reservoir: Manitou Lake, Saskatchewan

2008· article· en· W2025460314 on OpenAlexaffabout
Maria F. Quijada, Robert R. Stewart

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicSeismic Imaging and Inversion Techniques
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsGeologySignature (topology)Petroleum engineeringSeismologyMining engineeringGeochemistry

Abstract

fetched live from OpenAlex

A suite of well logs from the Manitou Lake heavy oil field in Saskatchewan were analyzed to study the effect of lithology and saturating fluid on density and P- and S-wave velocities in the sand reservoirs. The Vp values do not change significantly from shale to sand, but the shear-wave velocity increases significantly from 800 to 1300 m/s. A Vp/Vs value lower than 2.15 indicate sand reservoirs. Within the target zone, densities lower than 2250 kg/m3 indicate sands. Modeling with the log response equation shows improvement in density estimations in comparison to using Gardner's relation. PP and PS synthetics show an opposite seismic signature at the top of the reservoir, seen as a trough on the PP section and as a peak in the PS section, making registration between the two sections more complex. Bright spots are expected on the PS section where sand is present.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.319
Threshold uncertainty score0.643

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.024
GPT teacher head0.190
Teacher spread0.166 · 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 source (direct Gemma or distilled Codex), 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

Citations2
Published2008
Admission routes2
Has abstractyes

Explore more

Same topicSeismic Imaging and Inversion Techniques→French-language works237,207→