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Record W4242430458 · doi:10.1504/ijgenvi.2017.086714

Cyclic injection of CO<SUB align="right">2 into a saline aquifer with extended interface

2017· article· en· W4242430458 on OpenAlexaff
Farshad A. Malekzadeh, Yuri Leonenko, Maurice B. Dusseault

Bibliographic record

VenueInternational Journal of Global Environmental Issues · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicCO2 Sequestration and Geologic Interactions
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsSaturation (graph theory)ImbibitionDissolutionAquiferSolubilityMass transferRelative permeabilityChemistryAqueous solutionThermodynamicsMechanicsSoil scienceGroundwaterChromatographyGeotechnical engineeringMathematicsEnvironmental scienceGeologyPhysics

Abstract

fetched live from OpenAlex

Cyclic CO2 injection is considered to be an effective method to maximise CO2 dissolution in hydrocarbon reservoirs (Reznik et al., 1984; Monger et al., 1991) and saline aquifers (Zhang and Agarwal, 2012; Dusseault et al., 2012). Gravity override and evolution of a transition zone have large effects on the development of a saturation transition zone between the pure host fluid and the injected gas. In this paper, equivalent relative permeability functions are derived to address the effect of gravity override, allowing reduction of the problem dimension from 2D to 1D. An analytical solution for saturation distribution in a cyclic drainage-imbibition process is obtained. To incorporate the solubility of CO2 in the aqueous phase, a one-way coupled approximation is used and a numerical solution is proposed for derivation of compositional distribution of the chemical species. Information about saturation distribution from the analytical solution provides saturation distribution over time and distance, and this is substituted in the concentration distribution equation. In contrast to previously well-studied analytical solutions (e.g., Orr, 2007), this hybrid scheme includes the effect of kinetic mass transfer and dispersion, and provides a reasonable approximation for saturation-concentration distribution during injection.

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)0.000
metaresearch head score (Gemma)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

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 science0.0000.001
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 head0.008
GPT teacher head0.306
Teacher spread0.298 · 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

Citations2
Published2017
Admission routes1
Has abstractyes

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