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Page 1
Machine Learning Model for Monitoring Rheological Properties of Synthetic Oil-Based Mud.
ACS Omega. 2022 Apr 29;7(18):15603-15614. doi: 10.1021/acsomega.2c00404. eCollection 2022 May 10.
ACS Omega. 2022.
PMID: 35571769
Free PMC article.
Real-Time Prediction of Rheological Properties of Invert Emulsion Mud Using Adaptive Neuro-Fuzzy Inference System.
Alsabaa A, Gamal H, Elkatatny S, Abdulraheem A.
Alsabaa A, et al.
Sensors (Basel). 2020 Mar 17;20(6):1669. doi: 10.3390/s20061669.
Sensors (Basel). 2020.
PMID: 32192144
Free PMC article.
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Improved Tracking of the Rheological Properties of Max-Bridge Oil-Based Mud Using Artificial Neural Networks.
Alsabaa A, Elkatatny S.
Alsabaa A, et al.
ACS Omega. 2021 Jun 11;6(24):15816-15826. doi: 10.1021/acsomega.1c01230. eCollection 2021 Jun 22.
ACS Omega. 2021.
PMID: 34179625
Free PMC article.
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