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Record W4407824156 · doi:10.1002/9781394356294.ch14

Downhole Pressure and Temperature Observations at a CO <sub>2</sub> Injector Under Differing Injection Conditions

2025· other· en· W4407824156 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

Venuenot available
Typeother
Languageen
FieldEngineering
TopicInjection Molding Process and Properties
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsInjectorMaterials scienceEnvironmental scienceMechanicsThermodynamicsPhysics

Abstract

fetched live from OpenAlex

In order to meet the commitments of climate change and net-zero carbon emission policies, carbon capture, utilization, and storage (CCUS) technology is required to reduce carbon dioxide (CO 2 ) emissions from energy-intensive industries such as coal-fired power plants, cement, and steel manufacturing factories (IPCC 2022; IEA 2020). Given the limited number of current large-scale geological CO 2 storage projects, opportunities exist to study the complex surface and subsurface issues associated with injection of relatively low temperature supercritical CO 2 into deep hot geological formations (e.g., saline aquifers, depleted gas reservoirs). A world class example of such a CO 2 storage operation in deep hyper-saline aquifer is the Aquistore CCS project in Saskatchewan, Canada.

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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.132
Threshold uncertainty score1.000

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)0.0010.000

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 head0.011
GPT teacher head0.210
Teacher spread0.199 · 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

Quick stats

Citations1
Published2025
Admission routes2
Has abstractyes

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