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Record W1443492929

Mobility and relative permeability effects on surfactant-enhanced remediation treatments

2005· article· en· W1443492929 on OpenAlexaboutno aff
A.E. Bevilacqua, Marco Edoardo Rosti, Giovanni Dotelli, Mikhael D. Levi, Steven L. Bryant, Thomas P. Lockhart, Robert E. Hinchee, A. Porta, Maura Pellei

Bibliographic record

VenueVirtual Community of Pathological Anatomy (University of Castilla La Mancha) · 2005
Typearticle
Languageen
FieldChemistry
TopicSurfactants and Colloidal Systems
Canadian institutionsnot available
Fundersnot available
KeywordsPulmonary surfactantRelative permeabilityEnvironmental remediationPermeability (electromagnetism)ChemistryEnvironmental scienceContaminationPorosity
DOInot available

Abstract

fetched live from OpenAlex

In order to study the influence of mobility and relative permeability effects on surfactant-enhanced remediation processes, carefully-designed porous media experiments have been conducted with trichloroethylene (TCE) as the contaminating phase in sandpacks prepared with Ottawa sand. Injection of an aqueous solution of the anionic surfactant MA-80 into linear sandpacks resulted in the removal of >99% of the residual TCE within 2 pore volumes. Multiple pressure taps along the sandpacks revealed a high pressure transient associated with the movement of the NAPL bank through the column; this is attributed to a relative permeability effect localised at the front of the NAPL bank. Experimental evidence for the formation of viscous NAPL/surfactant phases both within and outside the sandpacks were also obtained. The impact of these mobility and relative permeability effects on SEAR process efficiency was simulated by conducting parallel sandpack floods with one sandpack initially at residual TCE concentration and the other free of TCE. In the higher-dimensional parallel flood, in fact, these factors cause the majority of the surfactant solution injected to enter the clean column. 
\nClassificato ISI

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.768
Threshold uncertainty score0.871

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.015
GPT teacher head0.229
Teacher spread0.214 · 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 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

Citations0
Published2005
Admission routes1
Has abstractyes

Explore more

Same venueVirtual Community of Pathological Anatomy (University of Castilla La Mancha)Same topicSurfactants and Colloidal SystemsFrench-language works237,207