eprintid: 14943
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/49/43
datestamp: 2023-11-10 03:29:32
lastmod: 2023-11-10 03:29:32
status_changed: 2023-11-10 01:58:13
type: article
metadata_visibility: show
creators_name: Alakbari, F.S.
creators_name: Mohyaldinn, M.E.
creators_name: Ayoub, M.A.
creators_name: Muhsan, A.S.
creators_name: Hassan, A.
title: Apparent and plastic viscosities prediction of water-based drilling fluid using response surface methodology
ispublished: pub
keywords: Drilling fluids; Forecasting; Infill drilling; Nanocomposites; Surface properties, Empirical correlations; Independent variables; Mathematical relation; Nanoclay concentrations; Response surface methodology; Response surface plot; Rheological property; Water based drilling fluids, Viscosity, bentonite; plastic; silica nanoparticle; water, Article; concentration (parameter); controlled study; liquid; measurement accuracy; priority journal; response surface method; temperature; viscosity
note: cited By 12
abstract: Apparent and plastic viscosities are two of the significant rheological properties of drilling fluid. Monitoring the apparent and plastic viscosities during drilling operations is essential to prevent various drilling problems and achieve successful drilling operations. Due to the constraints associated with experimental measurements, a reliable prediction is regarded as an excellent alternative for quick assessment of the apparent and plastic viscosities. There were many attempts taken to develop models to predict the apparent and plastic viscosities. However, the published models' main problems are their lack of accuracy and limitation of the parameters included. Therefore, this work presents new statistical-based empirical correlations for the prediction of apparent and plastic viscosities. The developed correlations relate the apparent viscosity and plastic viscosity to some variables, viz. bentonite, nanoclay concentration, nanosilica concentration, and temperature. Published data were utilized, and Response Surface Methodology (RSM) was used to obtain the mathematical relation between the variables and responses and describe the variables' interactions. ANOVA then validated the correlations, F-statistics test, fit statistics, and Pareto chart standardised effects. The validation has shown that the RSM models were more robust with high accuracy. The influence of the independent variables on the apparent and plastic viscosities of the drilling fluids was established in response surface plots (3D), and the interaction between variables in the system was found statistically significant. The results show that the RSM model's performance is accurate, reliable, and can, hence, be used for precise prediction of apparent and plastic viscosities. © 2021 Elsevier B.V.
date: 2021
publisher: Elsevier B.V.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85101560611&doi=10.1016%2fj.colsurfa.2021.126278&partnerID=40&md5=9a4b98ac8670afde20db9fca2f6743fd
id_number: 10.1016/j.colsurfa.2021.126278
full_text_status: none
publication: Colloids and Surfaces A: Physicochemical and Engineering Aspects
volume: 616
refereed: TRUE
issn: 09277757
citation:   Alakbari, F.S. and Mohyaldinn, M.E. and Ayoub, M.A. and Muhsan, A.S. and Hassan, A.  (2021) Apparent and plastic viscosities prediction of water-based drilling fluid using response surface methodology.  Colloids and Surfaces A: Physicochemical and Engineering Aspects, 616.   ISSN 09277757