Newly Developed Correlations to Predict the Rheological Parameters of High-Bentonite Drilling Fluid Using Neural Networks

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...

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Bibliographic Details
Main Authors: Ahmed Gowida, Salaheldin Elkatatny, Khaled Abdelgawad, Rahul Gajbhiye
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Sensors
Subjects:
rheological properties
high-bentonite mud
artificial neural network
mud weight
marsh funnel
Online Access:https://www.mdpi.com/1424-8220/20/10/2787

Internet

https://www.mdpi.com/1424-8220/20/10/2787

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