Newly Developed Correlations to Predict the Rheological Parameters of High-Bentonite Drilling Fluid Using Neural Networks
High-bentonite mud (HBM) is a water-based drilling fluid characterized by its remarkable improvement in cutting removal and hole cleaning efficiency. Periodic monitoring of the rheological properties of HBM is mandatory for optimizing the drilling operation. The objective of this study is to develop...
Main Authors: | Ahmed Gowida, Salaheldin Elkatatny, Khaled Abdelgawad, Rahul Gajbhiye |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-05-01
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Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/20/10/2787 |
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