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Record W2994669130 · doi:10.1680/jenes.19.00003

Compacted Brazilian soil hydraulic behaviour during the percolation of petroleum-produced water

2019· article· en· W2994669130 on OpenAlexvenueno aff
Fernando Vieira Lima, Sandro Lemos Machado

Bibliographic record

VenueJournal of Environmental Engineering and Science · 2019
Typearticle
Languageen
FieldEngineering
TopicSoil and Unsaturated Flow
Canadian institutionsnot available
Fundersnot available
KeywordsHydraulic conductivityCompactionMacroporeSoil waterDispersion (optics)Soil sciencePorosityMineralogyEnvironmental scienceChemistryGeologyGeotechnical engineering

Abstract

fetched live from OpenAlex

This paper analyses the results of column tests performed on samples of compacted soils permeated by petroleum-produced water from onshore areas in north-east Brazil. It is shown that in almost all of the tested samples, the soil hydraulic conductivity decreased over time. Bioclogging and biofilm formation, as well as clay dispersion and filtration, are analysed; clay dispersion is indicated as the probable main cause of the observed behaviour. Furthermore, particle dispersion seems to be dependent on the changes in soil porosimetry (lower fraction of macropores), which is caused by higher compaction energy. Breakthrough curves obtained for magnesium (Mg) and calcium (Ca) suggest that bivalent cations were replaced by sodium (Na) cations during the tests. Furthermore, for longer test times, a noticeable amount of solid-particle sediment was observed at the bottom of the fluid collection jars. The authors confirmed that bioclogging did not significantly influence the reduction in soil hydraulic conductivity, as this reduction occurred before the start of any microbial activity.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.601
Threshold uncertainty score0.236

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 head0.003
GPT teacher head0.159
Teacher spread0.156 · 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

Citations5
Published2019
Admission routes1
Has abstractyes

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