Evidence map›Paper›PMID 28149161›Full record

ArticleSaudi journal of biological sciences2017

Study on distribution of reservoir endogenous microbe and oil displacement mechanism.

Ming Yue, Weiyao Zhu, Zhiyong Song, Yunqian Long, Hongqing Song

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Saudi journal of biological sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 39% of its field
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

1 citing paper in PubMed, 12 citations in OpenAlex.

  1. Review
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

5 authors at 2 institutions in 1 country.

Ming YueSchool of Civil and Resources Engineering, University of Science & Technology Beijing, Beijing 100083, China.
Weiyao ZhuSchool of Civil and Resources Engineering, University of Science & Technology Beijing, Beijing 100083, China.
Zhiyong SongSchool of Civil and Resources Engineering, University of Science & Technology Beijing, Beijing 100083, China.
Yunqian LongInnovation Application Institute, Zhejiang Ocean University, Zhoushan 316022, China.
Hongqing SongSchool of Civil and Resources Engineering, University of Science & Technology Beijing, Beijing 100083, China.
University of Science and Technology Beijing · CNZhejiang Ocean University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to research oil displacement mechanism by indigenous microbial communities under reservoir conditions, indigenous microbial flooding experiments using the endogenous mixed bacterium from Shengli Oilfield were carried out. Through microscopic simulation visual model, observation and analysis of distribution and flow of the remaining oil in the process of water flooding and microbial oil displacement were conducted under high temperature and high pressure conditions. Research has shown that compared with atmospheric conditions, the growth of the microorganism metabolism and attenuation is slowly under high pressure conditions, and the existence of the porous medium for microbial provides good adhesion, also makes its growth cycle extension. The microbial activities can effectively launch all kinds of residual oil, and can together with metabolites, enter the blind holes off which water flooding, polymer flooding and gas flooding can't sweep, then swap out remaining oil, increase liquidity of the crude oil and remarkably improve oil displacement effect.

Indexed as

Displacement mechanismEndogenous microbesMicrobial communitiesMicrobial enhanced oil recoveryPorous media

Identifiers

PMID28149161
PMCPMC5272955
OpenAlexW2519105478

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.