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Improving history match of a compositoinal reservoir simulation model using artificial intelligence : A field case study from the Middle East / Mohamed Ahmed Mohamed Mohamed Habib ; Supervised Abdel Sattar A. Dahab , Abdulaziz M. Abdulaziz

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Mohamed Ahmed Mohamed Mohamed Habib , 2015Description: 116 P. : ill ; 30cmOther title:
  • تحسين مضاهاه التاريخ الانتاجى لنموذج مضاهاه تركيبى لخزان ارضى باستخدام الذكاء الصناعى : تطبيق على خزان ارضى من الشرق الاوسط [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, especially in simulation and other reservoir Engineering studies. In the present research, two case studies were performed on a compositional reservoir simulation model and a black oil model
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Item type Current library Home library Call number Copy number Status Date due Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.12.M.Sc.2015.Mo.I (Browse shelf(Opens below)) Not for loan 01010110068335000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.12.M.Sc.2015.Mo.I (Browse shelf(Opens below)) 68335.CD Not for loan 01020110068335000

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, especially in simulation and other reservoir Engineering studies. In the present research, two case studies were performed on a compositional reservoir simulation model and a black oil model

Issued also as CD

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