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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 ...
The Rheology and Performance of Geothermal Spring Water-Based Drilling Fluids
(Wiley-Hindawi, 2019)
In this study, the rheological properties and performances of mud prepared with geothermal spring water to be used by geothermal drilling operators were examined at ambient and elevated temperatures. In this context, mud ...
Bor İçerikli Atık Killerin Sondaj Çamurlarında Kullanımı
(Bor Dergisi, 2021)
Bu çalışmada, Eskişehir ili Kırka ilçesinden temin edilen bor işletme tesisi proses katı atıklarının (PKA) sondaj çamurlarında kullanılabilirliği araştırılmıştır. Çalışma kapsamında Amerikan Petrol Enstitüsü (API) Spec. ...
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 ...