Prediction of thickening times of oil fi
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Philip Fletcher; Peter Coveney
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Article
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1995
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Elsevier Science
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English
โ 661 KB
Nonlinear statistical models based on artificial neural networks have been constructed to predict the thickening times of class G, class H, and class A oil well cement slurries from physicochemical data on cement powders. These data include chemical composition, particlesize distributions, and Fouri