TY  - BOOK
AU  - Mustafa Mohamed Amer
AU  - Abdelalim Hashem Elsayed , 
AU  - Abdelsattar Dahab , 
TI  - Rate of penetration predictive model using artificial neural networks / 
PY  - 2009///
CY  - Cairo : 
PB  - Mustafa Mohamed Amer , 
KW  - ANN
KW  - Bit
KW  - ROP
N1  - Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Metallurgical Engineering; Issued also as CD
N2  - 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
UR  - http://172.23.153.220/th.pdf
ER  -