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Record W2035135171 · doi:10.1016/j.egypro.2014.11.570

Impacts of Injection Induced Fractures Propagation in CO2 Geological Sequestration – Is Fracturing Good or Bad for CO2 Sequestration

2014· article· en· W2035135171 on OpenAlexaff
Zhiyuan Luo, Steven L. Bryant

Bibliographic record

VenueEnergy Procedia · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicCO2 Sequestration and Geologic Interactions
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsCarbon sequestrationPlumeFracture (geology)Petroleum engineeringEnhanced oil recoveryEnvironmental scienceWork (physics)Injection wellWater injection (oil production)Parametric statisticsGeologyGeotechnical engineeringCarbon dioxideChemistryEngineeringThermodynamics

Abstract

fetched live from OpenAlex

In large-scale CO2 sequestration project the formation temperature decreases as huge amounts of relatively cool CO2 are injected. Injection induced fractures from injectors are facilitated as the critical pressure in the formation for fracturing is reduced by considerable thermo-elastic stress, which is proportional to the temperature difference between CO2 and reservoir. In this study, we analyze injection induced fracture growth and its impact on CO2 plume migration by a semi-analytical quasi-steady state model in the case that injection induced fractures are permitted by regulators. By parametric analysis with the model, geological properties and operating conditions are investigated to show their sensitivity on fracture growth and CO2 migration. This work provides analytical tools, which enable fast and simple screening of appropriate storage sites and of injection strategy, to predict fracturing and CO2 migration to avoid potential risks.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.207
Threshold uncertainty score0.774

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 communication0.0000.001
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 head0.017
GPT teacher head0.280
Teacher spread0.263 · 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 designBench or experimental
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

Citations14
Published2014
Admission routes1
Has abstractyes

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