Evidence map›Paper›PMID 40871114›Full record

ArticlePolymers2025

Synergistic Optimization of Polymer-Surfactant Binary Flooding for EOR: Core-Scale Experimental Analysis of Formulation, Slug Design, and Salinity Effect.

Wenjie Tang, Patiguli Maimaiti, Hongzhi Shao, Tingli Que, Jiahui Liu, Shixun Bai

Abstract read
In one paragraph

Article in Polymers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

6 authors.

Wenjie TangResearch Institute of Exploration and Development, Xinjiang Oilfield Company, PetroChina, Karamay 834000, China.
Patiguli MaimaitiResearch Institute of Exploration and Development, Xinjiang Oilfield Company, PetroChina, Karamay 834000, China.
Hongzhi ShaoResearch Institute of Exploration and Development, Xinjiang Oilfield Company, PetroChina, Karamay 834000, China.
Tingli QueResearch Institute of Exploration and Development, Xinjiang Oilfield Company, PetroChina, Karamay 834000, China.
Jiahui LiuSchool of Petroleum, China University of Petroleum-Beijing at Karamay, Karamay 834000, China.
Shixun BaiSchool of Petroleum, China University of Petroleum-Beijing at Karamay, Karamay 834000, China.ORCID 0000-0001-9598-8661

Funding

Basic scientific research fund of Xinjiang Uyghur 240 Autonomous Region No. XQZX20220094
6 · The paper itself

Abstract

As conventional waterflooding enters mid-to-late stages, chemical enhanced oil recovery (EOR) technologies such as polymer-surfactant binary flooding have emerged to address declining recovery rates. This study systematically investigates the synergistic effects of polymer-surfactant binary formulations through core-flooding experiments under varying concentrations, injection volumes, and salinity conditions. The optimal formulation, identified as 0.5% surfactant and 0.15% polymer, achieves a maximum incremental oil recovery of 42.19% with an interfacial tension (IFT) reduction to 0.007 mN/m. A 0.5 pore volume (PV) injection volume balances sweep efficiency and economic viability, while sequential slug design with surfactant concentration gradients demonstrates superior displacement efficacy compared with fixed-concentration injection. Salinity sensitivity analysis reveals that high total dissolved solids (TDS) significantly degrade viscosity, whereas low TDS leads to higher viscosity but only marginally enhances the recovery. These findings provide experimental evidence for optimizing polymer-surfactant flooding strategies in field applications, offering insights into balancing viscosity control, interfacial tension reduction, and operational feasibility.

Indexed as

EOR optimizationinterfacial tensionpolymer–surfactant binary floodingsalinity sensitivity

Identifiers

PMID40871114
PMCPMC12389002

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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.