AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (4.5 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Original Paper | Open Access

Flocculation–microfiltration integration for high-salinity oilfield offshore produced water treatment

Mariane Carolina Pronera,bMaria Alice Prado Cechinela,bCarine Loureço Alvesa,bSálvio Lima de Carvalho Netoa,cSilvio Edegar WeschenfelderdSergio Yesid Gómez GonzálezcAlan AmbrosibMarco Di LucciobRegina de Fatima Peralta Muniz Moreiraa( )
Laboratory of Energy and Environment, Department of Chemical and Food Engineering, Federal University of Santa Catarina, Florianópolis, 88040-970, Santa Catarina, Brazil
Laboratory of Membrane Processes, Department of Chemical and Food Engineering, Federal University of Santa Catarina, Florianópolis, 88040-970, Santa Catarina, Brazil
Laboratory of Mass Transfer and Numerical Simulation of Chemical Systems, Department of Chemical and Food Engineering, Federal University of Santa Catarina, Florianópolis, 88040-970, Santa Catarina, Brazil
Petrobras Research Center, Rio de Janeiro, 21941-915, Rio de Janeiro, Brazil

Edited by Min Li

Peer review under the responsibility of China University of Petroleum (Beijing).

Show Author Information

Abstract

This study evaluated an integrated treatment system that combines chemical destabilization (through flocculation) with membrane-based separation (via submerged microfiltration) for removing of dispersed oil from oilfield produced water (OPW) under realistic salinity and temperature conditions. Both synthetic and real OPW emulsions were treated using polymeric flocculants, followed by the submerged-MF employing 0.1 μm tubular and flat sheet ceramic membranes at 60 ℃. System performance was assessed in terms of total oil and grease (TOG) removal and permeate flux. Fouling mechanisms were analyzed using Hermia models alongside a Python®-based numerical simulation, fitting the empirical resistance decay via nonlinear optimization. The use of the commercial anionic flocculant HYPERFLOCTM AE 120 led to TOG removal efficiencies up to 85% in synthetic emulsions prepared with 100 g/L NaCl at 60 ℃. The integrated flocculation/submerged-MF process ensured full compliance with offshore discharge regulations for produced water. Membrane configuration strongly influenced performance; flat sheet membranes exhibited milder flux decline and superior flux recovery after cleaning, while tubular membranes were prone to pore-blocking. In contrast, cake layer formation was more prominent in flat membranes. Empirical exponential decay models provided the best fit for resistance evolution (R2 = 0.996), surpassing the accuracy of the mechanistic Hermia models in describing fouling behavior. For oilfield produced water emulsions, flocculation was less efficient due to the matrix complexity. However, submerged-MF significantly reduced TOG content and turbidity. Overall, the engineered integrated system demonstrated robustness and scalability potential for OPW treatment in challenging offshore environments, highlighting the benefits of process synergy and operational adaptability.

References

【1】
【1】
 
 
Petroleum Science
Pages 5189-5202

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
Proner MC, Cechinel MAP, Alves CL, et al. Flocculation–microfiltration integration for high-salinity oilfield offshore produced water treatment. Petroleum Science, 2026, 23(8): 5189-5202. https://doi.org/10.1016/j.petsci.2026.03.025

3

Views

0

Downloads

0

Crossref

0

Web of Science

0

Scopus

0

CSCD

Received: 03 November 2025
Revised: 16 December 2025
Accepted: 11 March 2026
Published: 14 March 2026
© 2026 The Authors.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).