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Toplam kayıt 4, listelenen: 1-4
An Artificial Neural Network Approach for the Prediction of Water-Based Drilling Fluid Rheological Behaviour
(2018)
It is well known that high temperatures, which change the rheological properties of the drillingfluid and can frequently cause problems in deep wells, is a major problem during drilling. Theimportance of the estimation and ...
Experimental Investigation of MWCNTs Decorated with ZnO Nanoparticles as a Novel Additive in Conventional Water-based Drilling Mud
(IOP Publishing, 2021)
The effect of multi-walled carbon nanotubes (MWCNTs) decorated with ZnONPs on the rheological and filtration properties of conventional water-based drilling muds (WBDM) was investigated. ZnONPs and MWCNTs were synthesized ...
Development of novel inhibitive water-based drilling muds for oil and gas field applications
(Elsevier, 2022)
The aim of this study is to develop inhibitive drilling fluid systems generated from waste materials that can contribute to the reduction of potential well instability problems caused by drilling fluid based on rheological ...
Development of Water-Based Drilling Fluid in Miticration of Differential Sticking Tenuency
(University of Zagreb, 2022)
The objective of the study is to design a drilling fluid that prevents differential pressure pipe sticking tendency caused by drilling fluid with fly ash that is an industrial waste generated from the combustion of coal. ...