Prediction of the Rheological Properties of Invert Emulsion Mud Using an Artificial Neural Network-Reference-Cited by-同舟云学术

Prediction of the Rheological Properties of Invert Emulsion Mud Using an Artificial Neural Network

Published:2021-11-24 Issue:48 Volume:6 Page:32948-32959
ISSN:2470-1343
Container-title:ACS Omega
language:en
Short-container-title:ACS Omega

Author:

Gouda Abdelrahman¹,Khaled Samir¹²^ORCID,Gomaa Sayed¹²,Attia Attia M.¹

Affiliation:

1. Petroleum Engineering and Gas Technology Department, Faculty of Energy and Environmental Engineering, The British University in Egypt, El Shorouk City, Cairo 11837, Egypt

2. Mining and Petroleum Engineering Department, Faculty of Engineering, Al-Azhar University, Nasr City, Cairo 11371, Egypt

Publisher

American Chemical Society (ACS)

Subject

General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acsomega.1c04937

Reference73 articles.

1. Drilling fluids: State of the art

2. A practical method for determining the rheology of drilling fluid

3. Selecting a Drilling Fluid

4. Real-Time Determination of Rheological Properties of Spud Drilling Fluids Using a Hybrid Artificial Intelligence Technique

5. Apparent Viscosity Prediction of Water-Based Muds Using Empirical Correlation and an Artificial Neural Network

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