Prediction of wellbore cleanout parameters in mature fields using artificial neural networks /
التنبؤ بعوامل تنظيف حفرة البئر في الحقول الناضبة باستخدام شبكات الخلايا العصبية الاصطناعية
Ahmed Hamdy Ahmed Abdelghany ; Supervised Eissa M. Shokir , Abdel Sattar A. Dahab
- Cairo : Ahmed Hamdy Ahmed Abdelghany , 2020
- 54 P . : charts , facsmilies ; 30cm
Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Metallurgical Engineering
Recently, the Applications of the Artificial Intelligence in oil industry is increasing and seem to be promising. Using artificial neural networks it is possible to predict well bore cleanout parameters in mature field in western and eastern desert in Egypt. This target was achieved by using three main individual neural networks that successfully predict the cloud envelop results for the output parameters stated for the wellbore cleanout design
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