Development of an ANN-based soft-sensor to estimate the apparent viscosity of water-based drilling fluids

Author:

Bispo Vitor Diego da Silva,Scheid Cláudia Miriam,Calçada Luís Américo,Meleiro Luiz Augusto da Cruz

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Fuel Technology

Reference9 articles.

1. Estimation of reservoir parameter using a hybrid neural network;Aminzadeh;J. Pet. Sci. Eng.,1999

2. The neighborhood approach to prediction of permeability from wireline logs and limited core plug analysis data using backpropagation artificial neural networks;Arpat;J. Pet. Sci. Eng.,1998

3. Bourgoyne Jr., A.T., Millheim, K.K., Chenevert, M.E., Young Jr., F.S., 1991. Applied Drilling Engineering. SPE Textbook Series, Second Printing.

4. Drilling fluids: state of the art;Caenn;J. Pet. Sci. Eng.,1996

5. Predicting effective viscosity of magnetite ore slurries by using artificial neural network;Deosarkar;Powder Technol.,2012

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