Real-Time Prediction of the Rheological Properties of Water-Based Drill-In Fluid Using Artificial Neural Networks

Real-Time Prediction of the Rheological Properties of Water-Based Drill-In Fluid Using Artificial Neural Networks

The rheological properties of drilling fluids are the key parameter for optimizing drilling operation and reducing total drilling cost by avoiding common problems such as hole cleaning, pipe sticking, loss of circulation, and well control. The conventional method of measuring the rheological propert...

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Bibliographic Details
Main Author: Salaheldin Elkatatny
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Sustainability
Subjects:
empirical correlations
rheological properties
real-time
water-based drill-in fluid
artificial neural network
Online Access:https://www.mdpi.com/2071-1050/11/18/5008

Internet

https://www.mdpi.com/2071-1050/11/18/5008

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