Application of general regression neural network (GRNN) for indirect measuring pressure loss of Herschel–Bulkley drilling fluids in oil drilling
Author:
Publisher
Elsevier BV
Subject
Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation
Reference39 articles.
1. Applied Drilling Engineering;Bourgoyne,1991
2. Experimental study and predictions of pressure losses of fluids modeled as Herschel–Bulkley in concentric and eccentric annuli in laminar, transitional and turbulent flows;Kelessidis;J. Petrol. Sci. Eng.,2011
3. Konsistenzmessungen von Gummi-Benzollosungen;Herschel;Kolloid Z.,1926
4. Optimal determination of rheological parameters for Herschel–Bulkley drilling fluids and impact on pressure drop, velocity profiles and penetration rates during drilling;Kelessidis;J. Petrol. Sci. Eng.,2006
5. Optimal determination of rheological parameters for Herschel–Bulkley drilling fluids using genetic algorithms (GAs);Rooki;Korea-Australia Rheol. J.,2012
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