Mustafa Mohamed Amer <br/><br/>
Rate of penetration predictive model using artificial neural networks /  
 نموذج التنبؤ بمعدل الحفر باستخدام الشبكات العصبية الاصطناعية 
Mustafa Mohamed Amer ; Supervised Abdelsattar Dahab , Abdelalim Hashem Elsayed 
 - Cairo :   Mustafa Mohamed Amer ,   2009 
 - 78 P. :   charts ;   30cm 
<br/><br/>Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Metallurgical Engineering 
<br/><br/> Bit performance is a key factor to improve drilling performance and reduce drilling costs . The objective of the research is to provide a tool that can predict ROP in order to optimize bit selection . The specific goal of this study is a mean to predict ROP using Artificial Neural Networks ( ANN ) model . Lithology changes , drilling parameters data and bit data were the inputs of our model 
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<br/><br/><label>Subjects--Index Terms: </label>ANN  Bit  ROP