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Journal: Energies, 2019
Volume: 12
Number: 1880

Article: Data-Driven Framework to Predict the Rheological Properties of CaCl2 Brine-Based Drill-in Fluid Using Artificial Neural Network
Authors: by Ahmed Gowida, Salaheldin Elkatatny, Emad Ramadan and Abdulazeez Abdulraheem
Link: https://www.mdpi.com/1996-1073/12/10/1880

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