Quantification and prediction of carbonate diagenesis from well logs and core data by artificial neural network /
Samar Saied Abdelrady Shahat Hawary
Quantification and prediction of carbonate diagenesis from well logs and core data by artificial neural network / التقييم الكمى لتحوارت الصخور الجيرية والتنبؤ بها من معلومات تسجيلات الآبار واللباب الصخرى عن طريق الشبكات الاصطناعية العصبية Samar Saied Abdelrady Shahat Hawary ; Supervised Abdulaziz M. Abdulaziz - Cairo : Samar Saied Abdelrady Shahat Hawary , 2019 - 111 P. : charts , maps ; 30cm
Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Metallurgical Engineering
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
Carbonate reservoir Diagenesis Coefficient prediction Well logging
Quantification and prediction of carbonate diagenesis from well logs and core data by artificial neural network / التقييم الكمى لتحوارت الصخور الجيرية والتنبؤ بها من معلومات تسجيلات الآبار واللباب الصخرى عن طريق الشبكات الاصطناعية العصبية Samar Saied Abdelrady Shahat Hawary ; Supervised Abdulaziz M. Abdulaziz - Cairo : Samar Saied Abdelrady Shahat Hawary , 2019 - 111 P. : charts , maps ; 30cm
Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Metallurgical Engineering
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
Carbonate reservoir Diagenesis Coefficient prediction Well logging