Evidence map›Paper›PMID 38025871›Full record

ArticleRSC advances2023

Enhancing drilling mud performance through CMITS-modified formulations: rheological insights and performance optimization.

Imtiaz Ali, Maqsood Ahmad, Syahrir Ridha, Cajetan Chimezie Iferobia, Najeebullah Lashari

Open access · goldAbstract read
In one paragraph

Article in RSC advances, 2023. 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
1.0field-weighted citation impact, top 25% 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, 5 citations in OpenAlex.

  1. 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

5 authors at 3 institutions in 2 countries.

Imtiaz AliDepartment of Petroleum Engineering, Universiti Teknologi PETRONAS Seri Iskandar 32610 Perak Malaysia imtiaz_17003333@utp.edu.my.ORCID https://orcid.org/0000-0002-2952-3038
Maqsood AhmadDepartment of Geosciences, Universiti Teknologi PETRONAS Seri Iskandar 32610 Perak Malaysia.
Syahrir RidhaInstitute of Hydrocarbon Recovery, Universiti Teknologi PETRONAS Seri Iskandar 32610 Perak Malaysia.
Cajetan Chimezie IferobiaDepartment of Petroleum Engineering, Universiti Teknologi PETRONAS Seri Iskandar 32610 Perak Malaysia imtiaz_17003333@utp.edu.my.
Najeebullah LashariDepartment of Petroleum and Gas Engineering, Dawood University of Engineering & Technology M. A. Jinnah Road Karachi 74800 Pakistan.
Universiti Teknologi Petronas · MYBalochistan University of Information Technology, Engineering and Management Sciences · PKDawood University of Engineering and Technology · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the context of deep well drilling, the addition of functionalized additives into mud systems becomes imperative due to the adverse impact of elevated borehole temperatures and salts on conventional additives, causing them to compromise their intrinsic functionalities. Numerous biomaterials have undergone modifications and have been evaluated in drilling muds. However, the addition of dually modified tapioca starch in bentonite-free mud systems remains a notable gap within the existing literature. This study aims to examine the performance of dually modified carboxymethyl irradiated tapioca starch (CMITS) under high temperature and salt-containing conditions employing central composite design approach; the study evaluates the modified starch's impact on mud rheology, thermal stability, and salt resistance. The findings indicated that higher DS (0.66) and CMITS concentrations (8 ppb) improved plastic viscosity (PV), yield point (YP) and gel strength (GS), while increased salt and temperature decreased it, demonstrating the complex interplay of these factors on mud rheology. The developed empirical models suggested that DS 0.66 starch addition enhanced rheology, especially at elevated temperatures, demonstrating improved borehole cleaning potential, supported by quadratic model performance indicators in line with American Petroleum Institute (API) ranges. The optimized samples showed a non-Newtonian behavior, and Power-law model fitting yields promising results for improved cuttings transportation with starch additives.

Identifiers

PMID38025871
PMCPMC10630931
OpenAlexW4388504262

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.