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Record W2052022168 · doi:10.1016/j.egypro.2013.06.422

CO2 Geological Storage in the Province of Québec, Canada Capacity Evaluation of the St. Lawrence Lowlands basin

2013· article· en· W2052022168 on OpenAlexaffabout
Karine Bédard, Michel Malo, Félix-Antoine Comeau

Bibliographic record

VenueEnergy Procedia · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicCO2 Sequestration and Geologic Interactions
Canadian institutionsInstitut National de la Recherche Scientifique
FundersMinistry of Sustainability and the Environment
KeywordsStructural basinGeologyEnvironmental scienceGeographyGeomorphology

Abstract

fetched live from OpenAlex

The evaluation of the storage capacity of the St. Lawrence Lowlands basin was performed in the Province of Québec (Eastern Canada). The Covey Hill and Cairnside formations have global porosities of 5% and 3%, which is enough to be considered in the basin-scale storage capacity evaluation. The efficiency factors used in the capacity calculation are defined in the Carbon Sequestration Atlas of the United States and Canada and range from 0.51% to 5.4% in clastic sedimentary units. Two 3D geological models of the basin were used to represent the potential reservoir units at the basin-scale: uniform and faulted basin. This allowed calculating the volume of the potential reservoirs and comparing the capacity of a large-scale uniform basin with a faulted basin compartmentalized by the existing normal faults.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.172
Threshold uncertainty score0.999

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)0.0020.000

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 head0.016
GPT teacher head0.217
Teacher spread0.201 · 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.

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

Citations9
Published2013
Admission routes2
Has abstractyes

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