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Record W6981421109

Effectiveness of seismic detection modelling for CO2 migration scenarios near the Aquistore CO2 injection site, Estevan, Saskatchewan, Canada

2012· other· en· W6981421109 on OpenAlexaboutno aff

Bibliographic record

VenueEspace ÉTS (ETS) · 2012
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsClimate changeField (mathematics)Noise (video)Plume
DOInot available

Abstract

fetched live from OpenAlex

The Aquistore site is a proposed CO2 injection site located near Estevan, Saskatchewan, Canada, where CO2 will be stored in a saline aquifer at a depth of approximately 3000 m. This study used fluid replacement modelling to simulate the effects of CO2 migration from the injection interval into overlying saline aquifers. The objective was to discover whether or not, and to what degree, seismic surveys could resolve the presence of CO2 above the injection interval. Log data from a nearby well were analyzed to investigate the effects of adding CO2 on various physical properties of the subsurface. Two sets of synthetic seismic traces — with and without CO2 present — were compared. Differences in traveltimes through aquifer units were also compared before and after CO2 replacement. Results suggest that seismic monitoring at the Aquistore site would be more effective for the detection of CO2 migrating in shallow aquifers than in aquifers near the base of the Williston basin.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.136
Threshold uncertainty score0.274

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.009
GPT teacher head0.222
Teacher spread0.213 · 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 designSimulation or modeling
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
Published2012
Admission routes1
Has abstractno

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