Hybridized machine-learning for prompt prediction of rheology and filtration properties of water-based drilling fluids
Author:
Funder
Tomsk Polytechnic University
Publisher
Elsevier BV
Subject
Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering
Reference94 articles.
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