Evidence map›Paper›PMID 37554841›Full record

ArticleHeliyon2023

A numerical investigation of mathematical modelling in 3D hexagonal porous prism on oil recovery using nanoflooding.

Mudasar Zafar, Hamzah Sakidin, Mikhail Sheremet, Iskandar Dzulkarnain, Roslinda Nazar, Abdullah Al-Yaari, Nur Asyatumaila Mohamad Asri, Mohd Zuki Salleh, Shazia Bashir

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 2023. 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
  2. Article
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.

Mudasar ZafarDepartment of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS, Bandar Seri Iskandar 32610, Perak, Malaysia.
Hamzah SakidinDepartment of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS, Bandar Seri Iskandar 32610, Perak, Malaysia.
Mikhail SheremetLaboratory on Convective Heat and Mass Transfer, Tomsk State University, 634050, Tomsk, Russia.
Iskandar DzulkarnainCenter for Research in Enhanced Oil Recovery, Universiti Teknologi PETRONAS, Bandar Seri Iskandar 32610, Perak, Malaysia.
Roslinda NazarDepartment of Mathematical Sciences, Faculty of Science & Technology, Universiti Kebangsaan Malaysia, 43600 UKM Bangi, Selangor, Malaysia.
Abdullah Al-YaariDepartment of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS, Bandar Seri Iskandar 32610, Perak, Malaysia.
Nur Asyatumaila Mohamad AsriDepartment of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS, Bandar Seri Iskandar 32610, Perak, Malaysia.
Mohd Zuki SallehCentre of Mathematical Sciences, Universiti Malaysia Pahang, 26300 UMP Gambang, Kuantan, Pahang, Malaysia.
Shazia BashirDepartment of Physics and Applied Mathematics and Centre for Mathematical Sciences, Pakistan Institute of Engineering and Applied Sciences, Nilore 45650, Islamabad, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of nanomaterials as a means of recovering heavy and light oil from petroleum reservoirs has increased over the preceding twenty years. Most researchers have found that injecting a nanoparticle dispersion (nanofluids) has led to good results and increased the amount of oil that can be recovered. In this research, we aim to imitate the three-dimensional hexagonal prism in the existence of SiO2 and Al2O3 nanoparticles for better oil recovery. Porosity (

Indexed as

CavityEORMathematical modellingNanofloodingPorous media

Identifiers

PMID37554841
PMCPMC10404672

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.