Evidence map›Paper›PMID 42191838›Full record

ArticleScientific reports2026

Investigating the effects of reaction time on scaling dynamics in produced water and its implications for enhanced re-injection practices.

Seyed Alireza Mostafavi, Siavash Riahi, Marzieh Mavaddat

Abstract read
In one paragraph

Article in Scientific reports, 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.

Seyed Alireza MostafaviDepartment of Petroleum Engineering, Faculty of Engineering, Kish International Campus, University of Tehran, Kish Island, Iran.
Siavash RiahiInstitute of Petroleum Engineering, School of Chemical Engineering, College of Engineering, University of Tehran, Tehran, Iran. riahi@ut.ac.ir.
Marzieh MavaddatNational Iranian Oil Company, Iranian Central Oil Fields Company, Shiraz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Produced water, major byproduct of oil production, presents significant environmental challenges due to its volume and toxicity. Effective management through re-injection is the most environmentally and economically viable approach, yet inorganic scale precipitation from incompatible water mixing poses a critical challenge. Compatibility investigations are essential to understand scale types and quantities before substantial investments, with reaction kinetics playing a pivotal role. This study examines the impact of reaction time on scale precipitation in produced water management, relevant to desalination processes such as pre-treatment and brine disposal. Water samples from two oil-producing fields were mixed, with field facilities allowing either immediate reinjection or 14-day retention. Precipitated scales were filtered from one container after 1 day and from another after 14 days under operational conditions. Results showed that scales filtered after 1 day exceeded 500 mg/L, while those after 14 days were below 150 mg/L, indicating over 350 mg/L of scales re-dissolved into the liquid phase. SEM-EDX analysis revealed that some scales increased in precipitation after 14 days, while others re-dissolved. These findings highlight the critical role of chemical reaction kinetics in scale precipitation, offering insights for optimizing pre-treatment and re-injection systems, enhancing scale management and environmental sustainability in produced water treatment.

Indexed as

Compatibility investigationInorganic scaleProduced water re-injectionReaction timeWaste water management

Identifiers

PMID42191838
PMCPMC13439343

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Registered trials

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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.