Prediction of wellbore cleanout parameters in mature fields using artificial neural networks / Ahmed Hamdy Ahmed Abdelghany ; Supervised Eissa M. Shokir , Abdel Sattar A. Dahab
Material type:
- التنبؤ بعوامل تنظيف حفرة البئر في الحقول الناضبة باستخدام شبكات الخلايا العصبية الاصطناعية [Added title page title]
- Issued also as CD
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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 | ||
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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 |
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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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