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Data-Driven Framework to Predict the Rheological Properties of CaCl2 Brine-Based Drill-in Fluid Using Artificial Neural Network
- Ahmed Gowida
- , Salaheldin Elkatatny*
- , Emad Ramadan
- , Abdulazeez Abdulraheem
*Corresponding author for this work
Research output: Contribution to journal › Article › peer-review
38
Scopus
citations