Evidence map›Paper›PMID 41835573›Full record

ArticleACS omega2026

Identifying the Enhanced Oil Recovery Polymer in Sludge Formed in Water Lines.

Gustavo G Celestino, Júlia V Nunes, Elizabete F Lucas

Abstract read
In one paragraph

Article in ACS omega, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Gustavo G CelestinoPrograma de Engenharia Metalúrgica e de Materiais/COPPE/LADPOL, Universidade Federal do Rio de Janeiro, Av. Horácio Macedo, 2030, bloco F, Rio de Janeiro, RJ 21941598, Brazil.ORCID https://orcid.org/0000-0003-1002-8878
Júlia V NunesInstituto de Macromoléculas/LMCP, Universidade Federal do Rio de Janeiro, Rua Moniz Aragão, 360, bloco 8G/CT2, Rio de Janeiro, RJ 21941594, Brazil.
Elizabete F LucasPrograma de Engenharia Metalúrgica e de Materiais/COPPE/LADPOL, Universidade Federal do Rio de Janeiro, Av. Horácio Macedo, 2030, bloco F, Rio de Janeiro, RJ 21941598, Brazil.ORCID https://orcid.org/0000-0002-9454-9517

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sludge formation is extremely undesirable in the petroleum industry. Such sludge formation can be induced by different causes. The deposition of asphaltenes, waxes, inorganic salts, and even corrosion products is among the main causes of sludge formation. Therefore, it is very important to characterize the sludge to identify the causes of its formation and apply procedures to minimize or even avoid it. A protocol to characterize sludge in oil and water lines is already available. However, the role of the polymer used in enhanced oil recovery (EOR) on the sludge formation is already unknown. In this work, a procedure to identify the presence of the EOR polymer in sludge samples was developed. Two techniques to detect polymers were selected: size-exclusion chromatography (SEC) and multiangle light scattering (MALS). These techniques were validated by using polymer solutions at different concentrations. Then, synthetic sludge samples were prepared based on an emulsion of waxes and asphaltenes in toluene and brine, without and with different concentrations of polymers. The synthetic sludge samples were submitted to successive extractions with organic solvents to recover the residue, which was dispersed in water, filtered, and analyzed by SEC and MALS. The procedure was validated with synthetic sludge and applied to eight real sludge samples coming from a Brazilian oil field. The polymer was detected in all of them, and its concentration could be estimated. This kind of characterization makes it possible to identify the causes of sludge formation, preventing it and helping to reduce the environmental impact of the oil industry.

Identifiers

PMID41835573
PMCPMC12980226

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.