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Record W6884628903 · doi:10.11575/prism/25635

Development and Characterization of a Geostatic Model for Monitoring Shallow CO2 Injection

2016· other· en· W6884628903 on OpenAlexfundaboutno aff

Bibliographic record

VenuePRISM (University of Calgary) · 2016
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
FundersCenovus Energy
KeywordsCaprockPorosityPermeability (electromagnetism)Relative permeabilityPlumeOverpressureShoreGeomechanics

Abstract

fetched live from OpenAlex

A 25 sq. km static geomodel was constructed for shallow injection into the 7 m thick Basal Belly River Sandstone at 300 m depth in Newell County, Alberta. Effective porosity and intrinsic permeability were calibrated to six core laboratory analyses. The regressional shoreline sandstone has effective porosity of 11% and intrinsic permeability of 0.57 mD. Dynamic simulation was completed on the P10-50-90 static cases for multiple injection scenarios, totalling approximately 3250 t/CO2 over a five-year period. The evolution of the CO2 plume was observed at one-year during injection and five-years during injection, as well as the one-year and ten-year mark for the post-injection period. The final ten-year post-injection result simulated a laterally extensive plume, expanding to 350 m in diameter and 20 m of vertical migration into the caprock interval. The target interval proves to be an ideal reservoir, and the seal interval predicts containment over a ten-year post-injection period.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.706
Threshold uncertainty score0.861

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)0.0000.000

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 head0.213
Teacher spread0.196 · 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
GenreMethods

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
Published2016
Admission routes2
Has abstractyes

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