TY  - BOOK
AU  - Samar Saied Abdelrady Shahat Hawary
AU  - Abdulaziz M. Abdulaziz , 
TI  - Quantification and prediction of carbonate diagenesis from well logs and core data by artificial neural network / 
PY  - 2019///
CY  - Cairo : 
PB  - Samar Saied Abdelrady Shahat Hawary , 
KW  - Carbonate reservoir
KW  - Diagenesis Coefficient prediction
KW  - Well logging
N1  - Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Metallurgical Engineering; Issued also as CD
N2  - The application of artificial neural networks (ANNs) is used successfully to generate a numerical scale for diagenesis quantification from 0 to 10 with specified particular range for each type of diagenesis. It enhances identifying the rock typing and generated a link between geological and reservoir modeling. Also, a mathematical correlation is generated to directly predict the quantification of diagenesis in carbonate rocks in the study area
UR  - http://172.23.153.220/th.pdf
ER  -