Evidence map›Paper›PMID 40890400›Full record

ArticleScientific reports2025

Lab-scale investigation of drag reduction for crude oil by oil-soluble polymers.

Kun Liu, Xiao Xiong, Xiaodong Dai, Yue Liang, Jinxin Gou, Zhensong Cheng, Guoxin Zhang, Yuan Lu, Jianhua Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. 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

9 authors.

Kun Liu *College of Petroleum Engineering, Shandong Institute of Petroleum and Chemical Technology, Dongying, 257061, Shandong, People's Republic of China.
Xiao Xiong *School of Mechanical Engineering, Southwest Petroleum University, Chengdu, 610500, Sichuan, China.
Xiaodong DaiCollege of Petroleum Engineering, Shandong Institute of Petroleum and Chemical Technology, Dongying, 257061, Shandong, People's Republic of China. 000167@sdipct.edu.cn.
Yue LiangCollege of Petroleum Engineering, Shandong Institute of Petroleum and Chemical Technology, Dongying, 257061, Shandong, People's Republic of China.
Jinxin GouCollege of Petroleum Engineering, Shandong Institute of Petroleum and Chemical Technology, Dongying, 257061, Shandong, People's Republic of China.
Zhensong ChengCollege of Petroleum Engineering, Shandong Institute of Petroleum and Chemical Technology, Dongying, 257061, Shandong, People's Republic of China.
Guoxin ZhangCNOOC (Tianjin) Oilfield Chemical Co. Ltd, Tianjin, 300450, People's Republic of China.
Yuan LuCNOOC (Tianjin) Oilfield Chemical Co. Ltd, Tianjin, 300450, People's Republic of China.
Jianhua ZhangInstitute for Sustainable Industries and Liveable Cities, Victoria University, Werribee, Victoria, 3030, Australia.

Funding

Study on fatigue damage and crack growth model of X80 steel hydrogen pipeline heat-affected zone based on non-homogeneous polycrystals 52404061
6 · The paper itself

Abstract

This study investigates the drag reduction performance of oil-soluble polymers, specifically Polyisobutylene (PIB), in crude oil pipelines. The experiments were conducted using a flow-loop system to simulate turbulent flow conditions. The effects of Reynolds number and polymer concentration on drag reduction were analyzed using Response Surface Methodology (RSM). The results indicated that both the Reynolds number and the concentration of PIB significantly influence the drag reduction performance, with the quadratic term of concentration showing a significant effect. The model developed through RSM was found to be significant with a high R-square value, indicating a good fit to the experimental data. The predictive accuracy of the model was further validated through a comparison of experimental and calculated drag reduction rates, which were found to be within ± 10% of each other. The study concludes that PIB is an effective drag reducer for crude oil, and the developed model can be used to optimize the application of PIB in pipeline transportation, potentially leading to increased efficiency and cost savings.

Identifiers

PMID40890400
PMCPMC12402074

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.