A comprehensive data mining approach to estimate the rate of penetration: Application of neural network, rule based models and feature ranking

Author:

Eskandarian Sajad,Bahrami Peyman,Kazemi Pezhman

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Fuel Technology

Reference28 articles.

1. The effect of drilling mud density on penetration rate;Akpabio;Int. Res. J. Eng. Technol.,2015

2. A novel approach for modeling and optimization of surfactant/polymer flooding based on genetic programming evolutionary algorithm;Bahrami;Fuel,2016

3. Tuning the parameters of an artificial neural network using central composite design and genetic algorithm;Bashiri;Sci. Iran.,2011

4. Applied drilling engineering;Bourgoyne,1986

5. A multiple regression approach to optimal drilling and abnormal pressure detection;Bourgoyne;SPE J.,1974

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