Evidence map›Paper›PMID 34451195›Full record

ArticlePolymers2021

Synergetic Effects of Graphene Nanoplatelets/Tapioca Starch on Water-Based Drilling Muds: Enhancements in Rheological and Filtration Characteristics.

Maqsood Ahmad, Imtiaz Ali, Muhammad Syahmi Bins Safri, Mohammad Arif Izzuddin Bin Mohammad Faiz, Asif Zamir

Abstract read
In one paragraph

Article in Polymers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

5 authors.

Maqsood AhmadDepartment of Petroleum Engineering, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Malaysia.ORCID 0000-0003-1381-8082
Imtiaz AliDepartment of Petroleum Engineering, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Malaysia.ORCID 0000-0002-2952-3038
Muhammad Syahmi Bins SafriDepartment of Petroleum Engineering, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Malaysia.
Mohammad Arif Izzuddin Bin Mohammad FaizDepartment of Petroleum Engineering, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Malaysia.
Asif ZamirDepartment of Petroleum Engineering, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Malaysia.ORCID 0000-0002-0803-5027

Funding

Ministry of Higher Education, Malaysia FRGS/1/2020/TK0/UTP/02/3Yayasan UTP 015LC0-085
6 · The paper itself

Abstract

Several borehole problems are encountered during drilling a well due to improper mud design. These problems are directly associated with the rheological and filtration properties of the fluid used during drilling. Thus, it is important to investigate the mud rheological and filtration characteristics of water-based drilling muds (WBMs). Several materials have been examined but due to the higher temperature conditions of wells, such materials have degraded and lost their primary functions. In this research, an attempt was made to prepare a water-based mud by utilizing graphene nano platelets (GNP) in addition to the native tapioca starch at different ratios. The combined effect of starch and graphene nano platelets has been investigated in terms of mud's rheological and filtration parameters, including its plastic viscosity (PV), yield point (YP), fluid loss volume (FLV) and filtercake thickness (FCT). The morphological changes in the filtercake have also been observed using Field Emission Scanning Electron Microscope (FESEM) micrographs. Plastic viscosity was increased from 18-35 cP, 22-31 cP and 21-28 cP for 68 °F, 250 °F and 300 °F, respectively. The yield point was also enhanced from 22-37 lb/100ft

Indexed as

filtercake morphologyfiltration properties of water-based mudsgraphene nanoplateletsmud rheologytapioca starch rheology

Identifiers

PMID34451195
PMCPMC8401484

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Registered trials

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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.