Mohamad Alizade Pudeh, Esmaeil Rahimi
Barite is an important additive material used to increase the weight of excavation mud, and its particle sizes play a critical role in the effectiveness of the mud in drilling processes. This study aimed to analyze the effect of particle size gradation on the specific gravity and viscosity of barite powder employed in excavation mud formulations. Methodologically, the research was conducted through systematic experimentation where variations in the particle sizes corresponding to 200 and 325 mesh were evaluated. The results indicated that reducing the particle sizes slightly increased the specific gravity of the barite powder. Notably, it was found that larger particle sizes could decrease the density, although this effect may also introduce systematic errors in laboratory measurement conditions. The granulation of barite showed a significant influence on its viscosity, with dimensions below 325 mesh being notably effective. Consequently, excavating companies are found to utilize more barite powder when the specific gravity of the excavation mud decreases. Overall, this study highlights the importance of selecting appropriate barite particle sizes to manage both viscosity and density in excavation mud effectively.
@article{32209a76-8129-4468-bfe1-7ff04a7ab125,
title={Analyzing the effect of gradation on specific gravity and viscosity of barite powder used in excavation mud},
author={Mohamad Alizade Pudeh and Esmaeil Rahimi},
year={2017},
language={en}
}TY - JOUR TI - Analyzing the effect of gradation on specific gravity and viscosity of barite powder used in excavation mud AU - Mohamad Alizade Pudeh AU - Esmaeil Rahimi PY - 2017 LA - en ER -
Deepak Malhotra
This work discusses the essential components of a rigorous auditing process aimed at enhancing metallurgical plant performance. The objective is to id
Ian Cameron, Mitren Sukhram
This book delves into the intricate processes involved in blast furnace ironmaking, emphasizing the analysis, control, and optimization of operations.
Unknown, Unknown
This chapter discusses metal casting processes, highlighting the diversity and common characteristics among them. The objective is to elucidate the fu
Rajesh Jha, Bimal Kumar Jha
This book describes the application of artificial intelligence (AI) and machine learning (ML) concepts to develop predictive models that can be used t
The Australasian Institute of Mining and Metallurgy
This conference, held in Perth, Western Australia, focuses on the latest advancements in metallurgical processing plant design and operational strateg
David Pollard, Geoff Dunlop
The MetPlant 2008 conference focused on advancements in metallurgical processing of ores, emphasizing plant design, operation strategies, and innovati