Optimizing drilling fluid rheology: The role of particle size distribution and advanced rheological modelling

Abstract This study presents the first integrated evaluation of how particle size distribution (PSD) of weighting materials affects both the rheological behaviour of water‐based drilling fluids and the predictive accuracy of advanced rheological models. The originality lies in using complete mud formulations with multiple weighting materials, baryte, haematite, ilmenite, and Micromax, in both raw and milled forms, which enables a broader assessment than previously reported. Practically, the findings offer a pathway to optimize drilling fluid design for better viscosity control, improved wellbore stability, and reduced formation damage. Experimentally, reducing the D50 of baryte from 17.78 to 3.13 μm and haematite from 12.49 to 3.60 μm led to an approximate 50% increase in plastic viscosity and over 70% increase in yield point at a density of 16 ppg. Rheological models including Newtonian, Bingham Plastic, Power Law, Herschel–Bulkley, and Cross were applied, with Herschel–Bulkley and Cross models yielding R 2 values near 1.0 and RMSE as low as 0.23. Notably, finer particle sizes were better captured by advanced models, with Herschel–Bulkley and Cross outperforming simpler models, particularly at higher mud densities. These results demonstrate the critical role of PSD not only in fluid behaviour but also in selecting accurate rheological models for better prediction and formulation strategies. These results demonstrate the critical role of PSD not only in fluid behaviour but also in the selection of accurate rheological models for better prediction and formulation strategies.

Authors

Institutions

Publication Details

Journal
The Canadian Journal of Chemical Engineering
Published
2025-10-07
DOI
https://doi.org/10.1002/cjce.70107
Primary Topic
Drilling and Well Engineering
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimizing drilling fluid rheology: The role of particle size distribution and advanced rheological modelling

Badr Bageri, Jaber Al Jaberi
The Canadian Journal of Chemical Engineering
Drilling and Well Engineering
article

Optimizing drilling fluid rheology: The role of particle size distribution and advanced rheological modelling

Badr Bageri, Jaber Al Jaberi
article en

Abstract

Abstract This study presents the first integrated evaluation of how particle size distribution (PSD) of weighting materials affects both the rheological behaviour of water‐based drilling fluids and the predictive accuracy of advanced rheological models. The originality lies in using complete mud formulations with multiple weighting materials, baryte, haematite, ilmenite, and Micromax, in both raw and milled forms, which enables a broader assessment than previously reported. Practically, the findings offer a pathway to optimize drilling fluid design for better viscosity control, improved wellbore stability, and reduced formation damage. Experimentally, reducing the D50 of baryte from 17.78 to 3.13 μm and haematite from 12.49 to 3.60 μm led to an approximate 50% increase in plastic viscosity and over 70% increase in yield point at a density of 16 ppg. Rheological models including Newtonian, Bingham Plastic, Power Law, Herschel–Bulkley, and Cross were applied, with Herschel–Bulkley and Cross models yielding R 2 values near 1.0 and RMSE as low as 0.23. Notably, finer particle sizes were better captured by advanced models, with Herschel–Bulkley and Cross outperforming simpler models, particularly at higher mud densities. These results demonstrate the critical role of PSD not only in fluid behaviour but also in selecting accurate rheological models for better prediction and formulation strategies. These results demonstrate the critical role of PSD not only in fluid behaviour but also in the selection of accurate rheological models for better prediction and formulation strategies.

The Canadian Journal of Chemical EngineeringVol. 104(3)
King Fahd University of Petroleum and Minerals (SA)
Openalex Percentile: Top 65%
Drilling and Well Engineering
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.