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Prediction of wellbore cleanout parameters in mature fields using artificial neural networks / Ahmed Hamdy Ahmed Abdelghany ; Supervised Eissa M. Shokir , Abdel Sattar A. Dahab

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Ahmed Hamdy Ahmed Abdelghany , 2020Description: 54 P . : charts , facsmilies ; 30cmOther title:
  • التنبؤ بعوامل تنظيف حفرة البئر في الحقول الناضبة باستخدام شبكات الخلايا العصبية الاصطناعية [Added title page title]
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Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Metallurgical Engineering Summary: 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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Item type Current library Home library Call number Copy number Status Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.12.M.Sc.2020.Ah.P (Browse shelf(Opens below)) Not for loan 01010110082556000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.12.M.Sc.2020.Ah.P (Browse shelf(Opens below)) 82556.CD Not for loan 01020110082556000

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

Issued also as CD

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